SlideShare a Scribd company logo
1 of 7
Download to read offline
Journal of Physics: Conference Series
PAPER • OPEN ACCESS
Molecular Docking Study from Lunacridine, Scopoletin and Skimmianine
as Antidiabetes through -Glucosidase Inhibitor
To cite this article: Adriani et al 2019 J. Phys.: Conf. Ser. 1374 012026
View the article online for updates and enhancements.
This content was downloaded from IP address 178.171.38.254 on 22/11/2019 at 13:35
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution
of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Published under licence by IOP Publishing Ltd
The 1st International Seminar on Smart Molecule of Natural Resources
Journal of Physics: Conference Series 1374(2019) 012026
IOP Publishing
doi:10.1088/1742-6596/1374/1/012026
1
Molecular Docking Study from Lunacridine, Scopoletin and
Skimmianine as Antidiabetes through α-Glucosidase Inhibitor
Adriani1,2*
, Noorhamdani3
, S Winarsih3
and T Ardyati4
1
Doctoral Program in Medical Science, Faculty of Medicine, Brawijaya University,
Malang, Indonesia
2
STKIP Pembangunan Indonesia Makassar, Indonesia
3
Department of Microbiology Faculty of Medicine, Brawijaya University, Malang,
Indonesia
3
Department of Microbiology Faculty of Medicine, Brawijaya University, Malang,
Indonesia
4
Department of Biology, Faculty of Mathematics and Science, Brawijaya University,
Malang, Indonesia
*
Corresponding author’s email: adrimarsya@gmail.com
Abstract. Diabetes is a metabolic syndrome disease characterized by hyperglycemia in
patients. The use of medicinal plants for the treatment of diabetes can control blood levels
because it contains anti-diabetic active substances. The medicinal plant as an anti-diabetic
through inhibition of the α-glucosidase enzyme thereby reducing the absorption of glucose in
the small intestine. Lunacridine, skimmianine and scopoletin are found in the Rutaceae family
but there is no information about them as α-glucosidase inhibitors. The purpose of the study to
determine the ability of lunacridine, skimmianine and scopoletin as inhibitors of α-glucosidase
enzymes based on docking molecular studies. The research method is ligand and receptor
preparation using Pymol and docking. The docking process uses Autodoct vina in Pyrx and
using acarbose as controls. The docking results are visualized using Ligplot and Discovery
studio software. The results showed that lunacridine, skimmianine, scopoletin interacted with
α-glucosidase and various binding affinity value. The lunacridine binding affinity is close to
the acarbose control and can cross cell membranes based on Lipinski rules. Lunacridine has an
anti-diabetic ability through inhibition of α-glucosidase enzyme with the inhibitory value close
to acarbose control
Keywords: Lunacridine, scopoletin, skimmianine, α-glucosidase inhibitor, docking
1. Introduction
Diabetes mellitus, the metabolic syndrome, is characterized by postprandial hyperglycemia which
results in increased blood glucose levels. The cause of diabetes is insulin resistance or pancreatic beta-
cell damage. Another trigger is the less active style and consumption of unhealthy foods can increase
the prevalence of diabetes. Monitoring and controlling blood glucose levels is the most common
method in the treatment of type 2 diabetes currently. One of the targets for the treatment of diabetes is
the inhibition of α-glucosidase enzyme activity. α-glucosidase is an enzyme that plays a role in
breaking down the 1.4 glycosidic bonds in carbohydrates into glucose so that facilitate absorption in
The 1st International Seminar on Smart Molecule of Natural Resources
Journal of Physics: Conference Series 1374(2019) 012026
IOP Publishing
doi:10.1088/1742-6596/1374/1/012026
2
the small intestine [1, 2]. Inhibition of this enzyme can control blood glucose levels of diabetic patients
shortly after eating.
α-glucosidase inhibitors are produced by microorganisms and medicinal plants, one of which is
from Rutaceae family. Previous phytochemical research on this family reported various types of
compounds, including lunacridine [3], skimmianine [4] steroid, saponin[5], scopoletin[6] and
polyphenol [5,7]. Lunacridine, skimmianine, and scopoletin have an anticancer effect [8-10] but its
potential as an α-glucosidase inhibitor is unknown.
Screening of active compound bioactivity from natural materials based on molecular docking is
widely used. Molecular docking is a method of exploring new compounds that have the potential to be
drug candidates based on bioinformatics modeling. In general, molecular docking is used to determine
the interaction of ligands and receptors and the energy produced by these interactions. This method
considered efficient because it provides fast results and does not differ greatly from laboratory results
[11, 12]. The purpose of this study was to determine the activity of lunacridine, skimmianine, and
scopoletin as α-glucosidase inhibitors through a molecular docking approach.
2. Methods
2.1. Receptor and ligands preparation
The 3D structure of the receptor is downloaded from the Protein Data Base (RCSB) GDP ID: 2QMJ
[13] then prepared using PyMOL software. The preparation process involves removing water
molecules and ligands attached and adding hydrogen atoms. The 3D structure of ligands (lunacridine,
skimmianine and scopoletin) was downloaded from Pubchem, then the ligand structure was minimized
using PyRx 0.8 software.
2.2. Molecular docking
The docking process begins with the preparation of ligands and receptors. the next step is setting the
gird box on the active site of the receptor to get the best binding position between the ligand-receptor.
Docking results are stored in PDB format while affinity binding values are saved in Microsoft Excel
format. The ligand and receptor interactions formed were visualized using LigPlot +, PyMOL and
Discovery studio.
2.3. Pharmacokinetics analysis
The pharmacokinetic analysis includes the test of the human intestine absorbs (HIA) and toxicity test.
The ligand structure stored in the molfile format (* mol) is inputted to the online PreADMET software
(https://preadmet.bmdrc.kr/adme/), then submitted [14,15]. The ability of ligands to pass through cell
membranes and interact with target proteins was analysis based on the Lipinski Rule of Five. The 3D
ligand structure is inputted to the SCFBIO Server (Http: //www.scfbio
ittd.res.in/software/drugdesign/lipinski.jsp) and then run to get the data [16].
3. Result and Discussion
3.1. Activity of α-glucosidase inhibitors from the active compound Rutaceae
The docking results showed that lunacridine, scopoletin, and skimmianine were able to inhibit the α-
glucosidase enzyme activity. Lunacridine has the highest inhibitory activity compared to scopoletin
and skimmianine (Table 1). This can be seen from the lunacridine binding affinity value of -6.1 and
still under the acarbose control (-7.8). The binding affinity value shows the lowest energy used by
receptors to interact with ligands. The more negative the affinity binding value is formed, the more
stable the interaction ligand and receptor because the bonds formed are stronger [11,17].
The 1st International Seminar on Smart Molecule of Natural Resources
Journal of Physics: Conference Series 1374(2019) 012026
IOP Publishing
doi:10.1088/1742-6596/1374/1/012026
3
Table 1. Binding affinity value, prediction of HIA and toxicity lunacridine, scopoletin and
skimmianine from Rutaceae.
Ligand Binding
affinity value
HIA (%) Toxicity
Lunacridine -6,1 95,91 Negative
Scopoletin -5,8 93.92 Negative
Skimmianine -5,4 97,89 Negative
Acarbose -7,8 0,00 Negative
The type and number of bonds formed between the ligand and the receptor affect the binding
affinity value. Hydrogen bonds are factors that affect protein stability because it strengthens the
interaction effect between proteins and ligands [18]. The more hydrogen bonds, the binding affinity
value is higher. Lunacridine interacts with 2 amino acids namely Asp 203 and Asp 443 through
hydrogen bonds. Skimmianine only interacts with 1 amino acid (Asp A542) and scopoletin not
interact. Hydrogen bonds have more energy than hydrophobic bonds. The interaction will be stronger
if the ligand interacts with key amino acid residues from α-glucosidase namely Asp A203, Asp A443,
Tyr A299, Trp A406, Met A444, Phe A450, Lys A480, Asp A542, Phe A575, Gln A603 [19].
Acarbose as a controlled drug bound to Asp A542 key amino acid with a distance of 3.43A and Asp
A443.
Figure 1. Molecular interaction analysis of (a) lunacridine and (b) acarbose.
The 1st International Seminar on Smart Molecule of Natural Resources
Journal of Physics: Conference Series 1374(2019) 012026
IOP Publishing
doi:10.1088/1742-6596/1374/1/012026
4
3.2. Pharmacokinetic analysis of lunacridine, skimmianine and scopoletin as drug candidate
The pharmacokinetic analysis of lunacridine, skimmianine and scopoletin using PreADMET software
states that all three are well absorbed by the small intestine (Table 1). The value obtained above 70%
indicates that active compounds can be absorbed high in the intestine [20]. The ability of a drug to pass
through cell membranes and interact with target proteins is important in the treatment of a disease. The
results of the analysis based on the Lipinski Rule of Five states that lunacridine, skimmianine, and
scopoletin can pass through cell membranes. They have a molecular weight of ≤ 500 Da, the number
of H-donors ≤ 5, the number of H-acceptors ≤ 10, and Log P ≤ 5 (Table 2). Acarbose as a controlled
drug cannot pass through the cell membrane because it is not in aby following with the provisions of
the Lipinski rule of five. Ligand not in by following accordance with Lipinski rule parameter, it is
most likely to cause problems when it enters the body [21].
Table 2. Lipinski rule of five (Ro5) of Lunacridine, Scopoletin and Skimmianine from Rutaceae.
Ligand Molecule
weight (Da)
H-donor H-acceptor Log P
Lunacridine 305 1 5 2.436100
Scopoletin 192 1 4 1.333000
Skimmianine 259 0 0 3.006799
Acarbose 645 14 19 -8.564498
Molecular weight ≤ 500 Da, H-donor ≤ 5, H-acceptor ≤ 10, Log P ≤ 5 [22]
Ligands with a molecular weight of less than 500 Da are easier to cross cell membranes because
they do not interfere with the diffusion process. The number of H-donors and H-acceptors is related to
the hydrophobicity and absorption of water. Many H-donor bonds cause the solubility of ligands in
water to increase so that absorbance in cell membranes is limited, thus inhibiting ligands from
interacting with targets [23]. Log P is also related to ligand hydrophobicity in crossing the cell
membrane. The higher the hydrophobicity of a drug the ability to exit across the cell membrane is
reduced. Thus ligands will be toxic because they are longer in cells [24].
4. Conclusion
Based on the results of the study can be concluded that the compound lunacridine from the family
Rutaceae is a promising candidate as an α-glucosidase inhibitor. The active compound from Rutaceae
has potential as an anti-diabetic drug candidate.
Acknowledgements
We thank Mr. Didik Huswo Utomo and Inbio team for his help and guidance for in silico study during
the manuscript preparation.
References
[1] Shihabudeen M S H, Priscilla D H and Thirumurugan K 2011 Cinnamon extract inhibits α-
glucosidase activity and damps postprandial glucose excursion in diabetic rats. Nutr. Metab.
8 1-11
[2] Van D L 2008 Α-glucosidase inhibitors in the early treatment of
type 2 diabetes Vasc Health Risk Manag 4 1189-95
[3] Prescott T, Ian H S, Robert K and Sutherland K M 2007 Lunacridine from Lunasia amara is a
DNA intercalating topoisomerase II inhibitor Journal of Etnopharmacology 109 290-4
[4] Macabeo A P G and Alicia M 2008 Chemical and phytomedicinal investigations in Lunasia
amara Phcog Rev.: Plant Review 2 317-25
The 1st International Seminar on Smart Molecule of Natural Resources
Journal of Physics: Conference Series 1374(2019) 012026
IOP Publishing
doi:10.1088/1742-6596/1374/1/012026
5
[5] Hasnaeni and Aminah 2019 Uji aktivitas antioksidan dan profil fitokimia ekstrak kayu beta-
beta (Lunasia amara Blanco) Galenika Journal of Pharmacy 5 101-7
[6] Hasnaeni, Sudarsono, Arief N and Sitarina W 2017 Identification of active anti-inflammatory
principles of beta-beta wood (Lunasia amara Blanco) from Siawung Barru-South Sulawesi,
Indonesia Trop. J. Pharm. Res. 16 161-4
[7] Rafiq S, Rajkumari K, SA Sofi, Nadia B, Fiza N and Gulzar A N 2018 Citrus peel as a source of
functional ingredient: a review Journal of The Saudi Society of Agricultural Science 17 351-
8
[8] Zubair M S and Subehan 2010 Molecular docking of lunacridine from Lunasia amara to DNA:
its inhibition and interaction study correlated with the cytotoxic activity on P388 murine
leukemia cells, Indonesian Journal of Cancer Chemoprevention 1 108-17
[9] Molnar J, Imre O, Laszlo P, Tannaz G, Judit H and Istvan A 2013 Investigation of the
antiproliferative action of the quinolone alkaloids kokusagine and skimmianine of human
cell lines. Current Signal Transduction Theraphy 8 148-155
[10] Shi W, Hu J, Bao N, Li D, Chen L and Sun J 2016 Design synthesis and cytotoxic activities of
scopoletin-isoxazole and scopoletin-pyrazole hybrids Europe PMC 27 147-151
[11] Zafar M, Khan A, Rauf A, Khan A and Lodhi M A 2016 In silico study of alkaloids as α-
glucosidase inhibitors : hope for the discovery of effective lead compounds Front.
Endocrinol.7 1-17
[12] Thipparapu G, Ajumeera R and Venkatesan V 2017 Novel dihydropyrimidine derivates as
potential HDAC inhibitors: in silico study Insilico pharmacol.5 1-9
[13] Mohapatra S, Prasad A, Haque F, Ray S, De B and Ray S S 2015 In silico investigation of black
tea component α-amylase and α-glucosidase and lipase Journal of Applied Pharmaceutical
Science 5 042-7
[14] Nisha C M, Kumar A, Nair P, Gupta N, Silakari C, Tripathi T and Kumar A 2016 Molecular
docking and in silico ADMET study reveals acylguanidine 7a a potential inhibitor of β-
secretase Advances in Bioinformatics 2016 1-6
[15] Luo H, Liang D, Bao M, Sun R, Li Y, Li J, Wang X, Lu K and Bao J 2017 In silico
identification of potential inhibitors targeting Streptococcus mutans sortase A International
Journal of Oral Science 9 53-62
[16] Fitria A, Kholifah H, Umiyatus S, Fitriah and Didik HU 2018 In silico approach for revealing
anti-breast cancer and estrogen receptor α inhibitory activity of Artocarpus altilis AIP Conf.
Proc. The 8 th Annual Basic Sains International Conference (Malang) 2021 1-7
[17] Mohan R and Venogopal S 2013 In silico molecular interaction studies of gamma-hemolysin of
Staphylococcus aureus with flavonoid compounds Trends in Bioinformatic 6 91-100
[18] Fu Y, Zhao J and Chen Z 2018 Insights into the molecular mechanisms of protein-ligand
interactions by molecular docking and molecular dynamics simulation: a case of
oligopeptide binding protein Computational and Mathematical Methods in Medicine 2018
1-12
[19] Bharathi A, Selvaraj M R, C S Vasavi, Punnagai M, G A Gayathri and M Gayathri 2014 In
silico molecular docking and in vitro antidiabetic studies of dihydropyrimidine [4,5-α]
acridin-2-amines BioMed Research International 2014 1-10
[20] Nerkar G, Shena A K, Poorvashree J E and Hemant U C 2012 In silico screening synthesis and
pharmacological evaluation of novel quinazolines as NMDA receptor inhibitors for
anticonvulsant activity Inter. J. Pharm. Pharm. Sci. 4 449-53
The 1st International Seminar on Smart Molecule of Natural Resources
Journal of Physics: Conference Series 1374(2019) 012026
IOP Publishing
doi:10.1088/1742-6596/1374/1/012026
6
[21] Mendhis S, Puska P and Norrving B 2011 Global atlas on cardiovascular disease prevention and
control (Switzerland : World Health Organization)
[22] Lipinski C A, Lombardo F, Dominy B W and D and Feeney P J 2001 Eksperimental and
computational approaches to estimate solubility and permeability in drug discovery and
development settings Advance Drug Delivery Reviews 64 1-17
[23] Patrick G 2001 Instant Notes In Medicinal Chemistry (Oxford: BIOS Scientific Publisher)
[24] Ekins S, Mestres J and Testa B 2007 In Silico Pharmacology for drug discovery: applications to
targets and beyond British Journal Pharmacology 152 21-37

More Related Content

What's hot

Biochemical Pharmacology
Biochemical PharmacologyBiochemical Pharmacology
Biochemical PharmacologyBettina Vakili
 
Complexation & protein binding
Complexation & protein bindingComplexation & protein binding
Complexation & protein bindingJILSHA123
 
Design and Synthesis of New Derivatives of (E)-3-(5-((phenylamino)methyl)-1,3...
Design and Synthesis of New Derivatives of (E)-3-(5-((phenylamino)methyl)-1,3...Design and Synthesis of New Derivatives of (E)-3-(5-((phenylamino)methyl)-1,3...
Design and Synthesis of New Derivatives of (E)-3-(5-((phenylamino)methyl)-1,3...BRNSS Publication Hub
 
23.optimizing access to target
23.optimizing access to target23.optimizing access to target
23.optimizing access to targetAbhijeet Kadam
 
Medicinal Chemistry Basics
Medicinal Chemistry BasicsMedicinal Chemistry Basics
Medicinal Chemistry BasicsRahul Patil PhD
 
Complexation and Protein Binding [Part-2] (Method of analysis, Complexation a...
Complexation and Protein Binding [Part-2](Method of analysis, Complexation a...Complexation and Protein Binding [Part-2](Method of analysis, Complexation a...
Complexation and Protein Binding [Part-2] (Method of analysis, Complexation a...Ms. Pooja Bhandare
 
Complexation and Protein Binding [Part-1] (Introduction and Classification an...
Complexation and Protein Binding [Part-1](Introduction and Classification an...Complexation and Protein Binding [Part-1](Introduction and Classification an...
Complexation and Protein Binding [Part-1] (Introduction and Classification an...Ms. Pooja Bhandare
 
Design and Synthesis of a Novel Thiolate Histone Deacetylase Inhibitor
Design and Synthesis of a Novel Thiolate Histone Deacetylase Inhibitor Design and Synthesis of a Novel Thiolate Histone Deacetylase Inhibitor
Design and Synthesis of a Novel Thiolate Histone Deacetylase Inhibitor Max Tucker
 
Drug metabolism | Pharmacokinetics | Drug discovery | Bioinformatics |
Drug metabolism | Pharmacokinetics | Drug discovery | Bioinformatics | Drug metabolism | Pharmacokinetics | Drug discovery | Bioinformatics |
Drug metabolism | Pharmacokinetics | Drug discovery | Bioinformatics | Mahek Sharan
 
Physico-chemical Properties in Relation of Drug action
Physico-chemical Properties in Relation of Drug actionPhysico-chemical Properties in Relation of Drug action
Physico-chemical Properties in Relation of Drug actionPradnya Gondane
 
Complexation and protein binding
Complexation and protein bindingComplexation and protein binding
Complexation and protein bindingKiran Rodge
 
Catalysis Presentation
Catalysis PresentationCatalysis Presentation
Catalysis PresentationNisha Ahuja
 
Medicinal chemistry Basics
Medicinal chemistry BasicsMedicinal chemistry Basics
Medicinal chemistry BasicsRahul Patil PhD
 

What's hot (19)

Biochemical Pharmacology
Biochemical PharmacologyBiochemical Pharmacology
Biochemical Pharmacology
 
Complexation & protein binding
Complexation & protein bindingComplexation & protein binding
Complexation & protein binding
 
Design and Synthesis of New Derivatives of (E)-3-(5-((phenylamino)methyl)-1,3...
Design and Synthesis of New Derivatives of (E)-3-(5-((phenylamino)methyl)-1,3...Design and Synthesis of New Derivatives of (E)-3-(5-((phenylamino)methyl)-1,3...
Design and Synthesis of New Derivatives of (E)-3-(5-((phenylamino)methyl)-1,3...
 
paper 5
paper 5paper 5
paper 5
 
23.optimizing access to target
23.optimizing access to target23.optimizing access to target
23.optimizing access to target
 
Org Biomol Chem
Org Biomol ChemOrg Biomol Chem
Org Biomol Chem
 
Drug design
Drug designDrug design
Drug design
 
Medicinal Chemistry Basics
Medicinal Chemistry BasicsMedicinal Chemistry Basics
Medicinal Chemistry Basics
 
Complexation and Protein Binding [Part-2] (Method of analysis, Complexation a...
Complexation and Protein Binding [Part-2](Method of analysis, Complexation a...Complexation and Protein Binding [Part-2](Method of analysis, Complexation a...
Complexation and Protein Binding [Part-2] (Method of analysis, Complexation a...
 
Complexation and Protein Binding [Part-1] (Introduction and Classification an...
Complexation and Protein Binding [Part-1](Introduction and Classification an...Complexation and Protein Binding [Part-1](Introduction and Classification an...
Complexation and Protein Binding [Part-1] (Introduction and Classification an...
 
Rsc advance -2014
Rsc advance -2014Rsc advance -2014
Rsc advance -2014
 
Acetamide
AcetamideAcetamide
Acetamide
 
Design and Synthesis of a Novel Thiolate Histone Deacetylase Inhibitor
Design and Synthesis of a Novel Thiolate Histone Deacetylase Inhibitor Design and Synthesis of a Novel Thiolate Histone Deacetylase Inhibitor
Design and Synthesis of a Novel Thiolate Histone Deacetylase Inhibitor
 
Drug metabolism | Pharmacokinetics | Drug discovery | Bioinformatics |
Drug metabolism | Pharmacokinetics | Drug discovery | Bioinformatics | Drug metabolism | Pharmacokinetics | Drug discovery | Bioinformatics |
Drug metabolism | Pharmacokinetics | Drug discovery | Bioinformatics |
 
EPCI paper
EPCI paperEPCI paper
EPCI paper
 
Physico-chemical Properties in Relation of Drug action
Physico-chemical Properties in Relation of Drug actionPhysico-chemical Properties in Relation of Drug action
Physico-chemical Properties in Relation of Drug action
 
Complexation and protein binding
Complexation and protein bindingComplexation and protein binding
Complexation and protein binding
 
Catalysis Presentation
Catalysis PresentationCatalysis Presentation
Catalysis Presentation
 
Medicinal chemistry Basics
Medicinal chemistry BasicsMedicinal chemistry Basics
Medicinal chemistry Basics
 

Similar to Molecular docking study_from_lunacridine_scopoleti(1)

Cyp3 a4 nimoidipine
Cyp3 a4 nimoidipineCyp3 a4 nimoidipine
Cyp3 a4 nimoidipinesvmurthy
 
In vitro and in vivo evaluation of positively charged liposaccharide derivati...
In vitro and in vivo evaluation of positively charged liposaccharide derivati...In vitro and in vivo evaluation of positively charged liposaccharide derivati...
In vitro and in vivo evaluation of positively charged liposaccharide derivati...Adel Abdelrahim, PhD
 
Study of the Effect of Gedunin against Protein GTP Binding Protein RAD to Tre...
Study of the Effect of Gedunin against Protein GTP Binding Protein RAD to Tre...Study of the Effect of Gedunin against Protein GTP Binding Protein RAD to Tre...
Study of the Effect of Gedunin against Protein GTP Binding Protein RAD to Tre...YogeshIJTSRD
 
In Silico Modeling and Docking Studies on Methionine Sulfoxide Reductase A Pr...
In Silico Modeling and Docking Studies on Methionine Sulfoxide Reductase A Pr...In Silico Modeling and Docking Studies on Methionine Sulfoxide Reductase A Pr...
In Silico Modeling and Docking Studies on Methionine Sulfoxide Reductase A Pr...BRNSS Publication Hub
 
In-Silico Identification of inhibitors for Controlling Rice Blast
In-Silico Identification of inhibitors for Controlling Rice BlastIn-Silico Identification of inhibitors for Controlling Rice Blast
In-Silico Identification of inhibitors for Controlling Rice BlastNisha Juyal
 
Immobilization of Glucose oxidase on PANI-2 Amino Pyridine composite film by ...
Immobilization of Glucose oxidase on PANI-2 Amino Pyridine composite film by ...Immobilization of Glucose oxidase on PANI-2 Amino Pyridine composite film by ...
Immobilization of Glucose oxidase on PANI-2 Amino Pyridine composite film by ...iosrjce
 
Evaluation of Phytochemical Constituents of the Fruits of Cucumis Sativus Lin...
Evaluation of Phytochemical Constituents of the Fruits of Cucumis Sativus Lin...Evaluation of Phytochemical Constituents of the Fruits of Cucumis Sativus Lin...
Evaluation of Phytochemical Constituents of the Fruits of Cucumis Sativus Lin...Conferenceproceedings
 
Liposaccharide-based nanoparticulate drug delivery system
Liposaccharide-based nanoparticulate drug delivery systemLiposaccharide-based nanoparticulate drug delivery system
Liposaccharide-based nanoparticulate drug delivery systemAdel Abdelrahim, PhD
 
17064-9fQK1439202911-
17064-9fQK1439202911-17064-9fQK1439202911-
17064-9fQK1439202911-rajkutty1983
 
Pharmacosomes
PharmacosomesPharmacosomes
PharmacosomesSUJIT DAS
 
Recent Advancement and Patents of the Lipid Polymer Hybrid Nanoparticles
Recent Advancement and Patents of the Lipid Polymer Hybrid NanoparticlesRecent Advancement and Patents of the Lipid Polymer Hybrid Nanoparticles
Recent Advancement and Patents of the Lipid Polymer Hybrid Nanoparticlespeertechzpublication
 

Similar to Molecular docking study_from_lunacridine_scopoleti(1) (20)

Cyp3 a4 nimoidipine
Cyp3 a4 nimoidipineCyp3 a4 nimoidipine
Cyp3 a4 nimoidipine
 
In vitro and in vivo evaluation of positively charged liposaccharide derivati...
In vitro and in vivo evaluation of positively charged liposaccharide derivati...In vitro and in vivo evaluation of positively charged liposaccharide derivati...
In vitro and in vivo evaluation of positively charged liposaccharide derivati...
 
Study of the Effect of Gedunin against Protein GTP Binding Protein RAD to Tre...
Study of the Effect of Gedunin against Protein GTP Binding Protein RAD to Tre...Study of the Effect of Gedunin against Protein GTP Binding Protein RAD to Tre...
Study of the Effect of Gedunin against Protein GTP Binding Protein RAD to Tre...
 
in silico
in silico in silico
in silico
 
In Silico Modeling and Docking Studies on Methionine Sulfoxide Reductase A Pr...
In Silico Modeling and Docking Studies on Methionine Sulfoxide Reductase A Pr...In Silico Modeling and Docking Studies on Methionine Sulfoxide Reductase A Pr...
In Silico Modeling and Docking Studies on Methionine Sulfoxide Reductase A Pr...
 
In-Silico Identification of inhibitors for Controlling Rice Blast
In-Silico Identification of inhibitors for Controlling Rice BlastIn-Silico Identification of inhibitors for Controlling Rice Blast
In-Silico Identification of inhibitors for Controlling Rice Blast
 
c4ra02698e
c4ra02698ec4ra02698e
c4ra02698e
 
Immobilization of Glucose oxidase on PANI-2 Amino Pyridine composite film by ...
Immobilization of Glucose oxidase on PANI-2 Amino Pyridine composite film by ...Immobilization of Glucose oxidase on PANI-2 Amino Pyridine composite film by ...
Immobilization of Glucose oxidase on PANI-2 Amino Pyridine composite film by ...
 
Evaluation of Phytochemical Constituents of the Fruits of Cucumis Sativus Lin...
Evaluation of Phytochemical Constituents of the Fruits of Cucumis Sativus Lin...Evaluation of Phytochemical Constituents of the Fruits of Cucumis Sativus Lin...
Evaluation of Phytochemical Constituents of the Fruits of Cucumis Sativus Lin...
 
Rational Drug design
Rational Drug designRational Drug design
Rational Drug design
 
Liposaccharide-based nanoparticulate drug delivery system
Liposaccharide-based nanoparticulate drug delivery systemLiposaccharide-based nanoparticulate drug delivery system
Liposaccharide-based nanoparticulate drug delivery system
 
Clinical pharmacy journal
Clinical pharmacy journalClinical pharmacy journal
Clinical pharmacy journal
 
Toxicology journal
Toxicology journalToxicology journal
Toxicology journal
 
17064-9fQK1439202911-
17064-9fQK1439202911-17064-9fQK1439202911-
17064-9fQK1439202911-
 
Pharmacosomes
PharmacosomesPharmacosomes
Pharmacosomes
 
acs.biomac.5b00657
acs.biomac.5b00657acs.biomac.5b00657
acs.biomac.5b00657
 
Null 6
Null 6Null 6
Null 6
 
Ravi chari
Ravi chariRavi chari
Ravi chari
 
Open Journal of Chemistry
Open Journal of ChemistryOpen Journal of Chemistry
Open Journal of Chemistry
 
Recent Advancement and Patents of the Lipid Polymer Hybrid Nanoparticles
Recent Advancement and Patents of the Lipid Polymer Hybrid NanoparticlesRecent Advancement and Patents of the Lipid Polymer Hybrid Nanoparticles
Recent Advancement and Patents of the Lipid Polymer Hybrid Nanoparticles
 

More from Adriani Hasyim

Isolation Endophyte Bacteria of Sanrego.pdf
Isolation Endophyte Bacteria of Sanrego.pdfIsolation Endophyte Bacteria of Sanrego.pdf
Isolation Endophyte Bacteria of Sanrego.pdfAdriani Hasyim
 
Tehnik laboratorium 2015
Tehnik laboratorium 2015Tehnik laboratorium 2015
Tehnik laboratorium 2015Adriani Hasyim
 
Biologi sel pancasakti
Biologi sel pancasaktiBiologi sel pancasakti
Biologi sel pancasaktiAdriani Hasyim
 
Seks education, pengenalan seks sejak dini pada anak
Seks education, pengenalan seks sejak dini pada anakSeks education, pengenalan seks sejak dini pada anak
Seks education, pengenalan seks sejak dini pada anakAdriani Hasyim
 
Fisiologi tumbuhan new
Fisiologi tumbuhan newFisiologi tumbuhan new
Fisiologi tumbuhan newAdriani Hasyim
 
Kt pengantar & dftar isi sosialisasi 2013
Kt pengantar & dftar isi sosialisasi 2013Kt pengantar & dftar isi sosialisasi 2013
Kt pengantar & dftar isi sosialisasi 2013Adriani Hasyim
 
Mikrobiologi farmasi- revisi
Mikrobiologi farmasi- revisiMikrobiologi farmasi- revisi
Mikrobiologi farmasi- revisiAdriani Hasyim
 

More from Adriani Hasyim (14)

Isolation Endophyte Bacteria of Sanrego.pdf
Isolation Endophyte Bacteria of Sanrego.pdfIsolation Endophyte Bacteria of Sanrego.pdf
Isolation Endophyte Bacteria of Sanrego.pdf
 
Tehnik laboratorium 2015
Tehnik laboratorium 2015Tehnik laboratorium 2015
Tehnik laboratorium 2015
 
Biologi sel pancasakti
Biologi sel pancasaktiBiologi sel pancasakti
Biologi sel pancasakti
 
Biologi sel farmasi
Biologi sel farmasiBiologi sel farmasi
Biologi sel farmasi
 
Seks education, pengenalan seks sejak dini pada anak
Seks education, pengenalan seks sejak dini pada anakSeks education, pengenalan seks sejak dini pada anak
Seks education, pengenalan seks sejak dini pada anak
 
Fisiologi tumbuhan new
Fisiologi tumbuhan newFisiologi tumbuhan new
Fisiologi tumbuhan new
 
Komunitas 2
Komunitas 2Komunitas 2
Komunitas 2
 
Komunitas
KomunitasKomunitas
Komunitas
 
Kt pengantar & dftar isi sosialisasi 2013
Kt pengantar & dftar isi sosialisasi 2013Kt pengantar & dftar isi sosialisasi 2013
Kt pengantar & dftar isi sosialisasi 2013
 
Ekologi hewan
Ekologi hewanEkologi hewan
Ekologi hewan
 
Mikrobiologi farmasi- revisi
Mikrobiologi farmasi- revisiMikrobiologi farmasi- revisi
Mikrobiologi farmasi- revisi
 
Zoologi invert new
Zoologi invert newZoologi invert new
Zoologi invert new
 
Mikrobiologi farmasi
Mikrobiologi farmasiMikrobiologi farmasi
Mikrobiologi farmasi
 
Zoologi invert new
Zoologi invert newZoologi invert new
Zoologi invert new
 

Recently uploaded

ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Final demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxFinal demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxAvyJaneVismanos
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...M56BOOKSTORE PRODUCT/SERVICE
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersSabitha Banu
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementmkooblal
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaVirag Sontakke
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,Virag Sontakke
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxsocialsciencegdgrohi
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerunnathinaik
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 

Recently uploaded (20)

ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Final demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxFinal demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptx
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
 
DATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginnersDATA STRUCTURE AND ALGORITHM for beginners
DATA STRUCTURE AND ALGORITHM for beginners
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Hierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of managementHierarchy of management that covers different levels of management
Hierarchy of management that covers different levels of management
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of India
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developer
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 

Molecular docking study_from_lunacridine_scopoleti(1)

  • 1. Journal of Physics: Conference Series PAPER • OPEN ACCESS Molecular Docking Study from Lunacridine, Scopoletin and Skimmianine as Antidiabetes through -Glucosidase Inhibitor To cite this article: Adriani et al 2019 J. Phys.: Conf. Ser. 1374 012026 View the article online for updates and enhancements. This content was downloaded from IP address 178.171.38.254 on 22/11/2019 at 13:35
  • 2. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd The 1st International Seminar on Smart Molecule of Natural Resources Journal of Physics: Conference Series 1374(2019) 012026 IOP Publishing doi:10.1088/1742-6596/1374/1/012026 1 Molecular Docking Study from Lunacridine, Scopoletin and Skimmianine as Antidiabetes through α-Glucosidase Inhibitor Adriani1,2* , Noorhamdani3 , S Winarsih3 and T Ardyati4 1 Doctoral Program in Medical Science, Faculty of Medicine, Brawijaya University, Malang, Indonesia 2 STKIP Pembangunan Indonesia Makassar, Indonesia 3 Department of Microbiology Faculty of Medicine, Brawijaya University, Malang, Indonesia 3 Department of Microbiology Faculty of Medicine, Brawijaya University, Malang, Indonesia 4 Department of Biology, Faculty of Mathematics and Science, Brawijaya University, Malang, Indonesia * Corresponding author’s email: adrimarsya@gmail.com Abstract. Diabetes is a metabolic syndrome disease characterized by hyperglycemia in patients. The use of medicinal plants for the treatment of diabetes can control blood levels because it contains anti-diabetic active substances. The medicinal plant as an anti-diabetic through inhibition of the α-glucosidase enzyme thereby reducing the absorption of glucose in the small intestine. Lunacridine, skimmianine and scopoletin are found in the Rutaceae family but there is no information about them as α-glucosidase inhibitors. The purpose of the study to determine the ability of lunacridine, skimmianine and scopoletin as inhibitors of α-glucosidase enzymes based on docking molecular studies. The research method is ligand and receptor preparation using Pymol and docking. The docking process uses Autodoct vina in Pyrx and using acarbose as controls. The docking results are visualized using Ligplot and Discovery studio software. The results showed that lunacridine, skimmianine, scopoletin interacted with α-glucosidase and various binding affinity value. The lunacridine binding affinity is close to the acarbose control and can cross cell membranes based on Lipinski rules. Lunacridine has an anti-diabetic ability through inhibition of α-glucosidase enzyme with the inhibitory value close to acarbose control Keywords: Lunacridine, scopoletin, skimmianine, α-glucosidase inhibitor, docking 1. Introduction Diabetes mellitus, the metabolic syndrome, is characterized by postprandial hyperglycemia which results in increased blood glucose levels. The cause of diabetes is insulin resistance or pancreatic beta- cell damage. Another trigger is the less active style and consumption of unhealthy foods can increase the prevalence of diabetes. Monitoring and controlling blood glucose levels is the most common method in the treatment of type 2 diabetes currently. One of the targets for the treatment of diabetes is the inhibition of α-glucosidase enzyme activity. α-glucosidase is an enzyme that plays a role in breaking down the 1.4 glycosidic bonds in carbohydrates into glucose so that facilitate absorption in
  • 3. The 1st International Seminar on Smart Molecule of Natural Resources Journal of Physics: Conference Series 1374(2019) 012026 IOP Publishing doi:10.1088/1742-6596/1374/1/012026 2 the small intestine [1, 2]. Inhibition of this enzyme can control blood glucose levels of diabetic patients shortly after eating. α-glucosidase inhibitors are produced by microorganisms and medicinal plants, one of which is from Rutaceae family. Previous phytochemical research on this family reported various types of compounds, including lunacridine [3], skimmianine [4] steroid, saponin[5], scopoletin[6] and polyphenol [5,7]. Lunacridine, skimmianine, and scopoletin have an anticancer effect [8-10] but its potential as an α-glucosidase inhibitor is unknown. Screening of active compound bioactivity from natural materials based on molecular docking is widely used. Molecular docking is a method of exploring new compounds that have the potential to be drug candidates based on bioinformatics modeling. In general, molecular docking is used to determine the interaction of ligands and receptors and the energy produced by these interactions. This method considered efficient because it provides fast results and does not differ greatly from laboratory results [11, 12]. The purpose of this study was to determine the activity of lunacridine, skimmianine, and scopoletin as α-glucosidase inhibitors through a molecular docking approach. 2. Methods 2.1. Receptor and ligands preparation The 3D structure of the receptor is downloaded from the Protein Data Base (RCSB) GDP ID: 2QMJ [13] then prepared using PyMOL software. The preparation process involves removing water molecules and ligands attached and adding hydrogen atoms. The 3D structure of ligands (lunacridine, skimmianine and scopoletin) was downloaded from Pubchem, then the ligand structure was minimized using PyRx 0.8 software. 2.2. Molecular docking The docking process begins with the preparation of ligands and receptors. the next step is setting the gird box on the active site of the receptor to get the best binding position between the ligand-receptor. Docking results are stored in PDB format while affinity binding values are saved in Microsoft Excel format. The ligand and receptor interactions formed were visualized using LigPlot +, PyMOL and Discovery studio. 2.3. Pharmacokinetics analysis The pharmacokinetic analysis includes the test of the human intestine absorbs (HIA) and toxicity test. The ligand structure stored in the molfile format (* mol) is inputted to the online PreADMET software (https://preadmet.bmdrc.kr/adme/), then submitted [14,15]. The ability of ligands to pass through cell membranes and interact with target proteins was analysis based on the Lipinski Rule of Five. The 3D ligand structure is inputted to the SCFBIO Server (Http: //www.scfbio ittd.res.in/software/drugdesign/lipinski.jsp) and then run to get the data [16]. 3. Result and Discussion 3.1. Activity of α-glucosidase inhibitors from the active compound Rutaceae The docking results showed that lunacridine, scopoletin, and skimmianine were able to inhibit the α- glucosidase enzyme activity. Lunacridine has the highest inhibitory activity compared to scopoletin and skimmianine (Table 1). This can be seen from the lunacridine binding affinity value of -6.1 and still under the acarbose control (-7.8). The binding affinity value shows the lowest energy used by receptors to interact with ligands. The more negative the affinity binding value is formed, the more stable the interaction ligand and receptor because the bonds formed are stronger [11,17].
  • 4. The 1st International Seminar on Smart Molecule of Natural Resources Journal of Physics: Conference Series 1374(2019) 012026 IOP Publishing doi:10.1088/1742-6596/1374/1/012026 3 Table 1. Binding affinity value, prediction of HIA and toxicity lunacridine, scopoletin and skimmianine from Rutaceae. Ligand Binding affinity value HIA (%) Toxicity Lunacridine -6,1 95,91 Negative Scopoletin -5,8 93.92 Negative Skimmianine -5,4 97,89 Negative Acarbose -7,8 0,00 Negative The type and number of bonds formed between the ligand and the receptor affect the binding affinity value. Hydrogen bonds are factors that affect protein stability because it strengthens the interaction effect between proteins and ligands [18]. The more hydrogen bonds, the binding affinity value is higher. Lunacridine interacts with 2 amino acids namely Asp 203 and Asp 443 through hydrogen bonds. Skimmianine only interacts with 1 amino acid (Asp A542) and scopoletin not interact. Hydrogen bonds have more energy than hydrophobic bonds. The interaction will be stronger if the ligand interacts with key amino acid residues from α-glucosidase namely Asp A203, Asp A443, Tyr A299, Trp A406, Met A444, Phe A450, Lys A480, Asp A542, Phe A575, Gln A603 [19]. Acarbose as a controlled drug bound to Asp A542 key amino acid with a distance of 3.43A and Asp A443. Figure 1. Molecular interaction analysis of (a) lunacridine and (b) acarbose.
  • 5. The 1st International Seminar on Smart Molecule of Natural Resources Journal of Physics: Conference Series 1374(2019) 012026 IOP Publishing doi:10.1088/1742-6596/1374/1/012026 4 3.2. Pharmacokinetic analysis of lunacridine, skimmianine and scopoletin as drug candidate The pharmacokinetic analysis of lunacridine, skimmianine and scopoletin using PreADMET software states that all three are well absorbed by the small intestine (Table 1). The value obtained above 70% indicates that active compounds can be absorbed high in the intestine [20]. The ability of a drug to pass through cell membranes and interact with target proteins is important in the treatment of a disease. The results of the analysis based on the Lipinski Rule of Five states that lunacridine, skimmianine, and scopoletin can pass through cell membranes. They have a molecular weight of ≤ 500 Da, the number of H-donors ≤ 5, the number of H-acceptors ≤ 10, and Log P ≤ 5 (Table 2). Acarbose as a controlled drug cannot pass through the cell membrane because it is not in aby following with the provisions of the Lipinski rule of five. Ligand not in by following accordance with Lipinski rule parameter, it is most likely to cause problems when it enters the body [21]. Table 2. Lipinski rule of five (Ro5) of Lunacridine, Scopoletin and Skimmianine from Rutaceae. Ligand Molecule weight (Da) H-donor H-acceptor Log P Lunacridine 305 1 5 2.436100 Scopoletin 192 1 4 1.333000 Skimmianine 259 0 0 3.006799 Acarbose 645 14 19 -8.564498 Molecular weight ≤ 500 Da, H-donor ≤ 5, H-acceptor ≤ 10, Log P ≤ 5 [22] Ligands with a molecular weight of less than 500 Da are easier to cross cell membranes because they do not interfere with the diffusion process. The number of H-donors and H-acceptors is related to the hydrophobicity and absorption of water. Many H-donor bonds cause the solubility of ligands in water to increase so that absorbance in cell membranes is limited, thus inhibiting ligands from interacting with targets [23]. Log P is also related to ligand hydrophobicity in crossing the cell membrane. The higher the hydrophobicity of a drug the ability to exit across the cell membrane is reduced. Thus ligands will be toxic because they are longer in cells [24]. 4. Conclusion Based on the results of the study can be concluded that the compound lunacridine from the family Rutaceae is a promising candidate as an α-glucosidase inhibitor. The active compound from Rutaceae has potential as an anti-diabetic drug candidate. Acknowledgements We thank Mr. Didik Huswo Utomo and Inbio team for his help and guidance for in silico study during the manuscript preparation. References [1] Shihabudeen M S H, Priscilla D H and Thirumurugan K 2011 Cinnamon extract inhibits α- glucosidase activity and damps postprandial glucose excursion in diabetic rats. Nutr. Metab. 8 1-11 [2] Van D L 2008 Α-glucosidase inhibitors in the early treatment of type 2 diabetes Vasc Health Risk Manag 4 1189-95 [3] Prescott T, Ian H S, Robert K and Sutherland K M 2007 Lunacridine from Lunasia amara is a DNA intercalating topoisomerase II inhibitor Journal of Etnopharmacology 109 290-4 [4] Macabeo A P G and Alicia M 2008 Chemical and phytomedicinal investigations in Lunasia amara Phcog Rev.: Plant Review 2 317-25
  • 6. The 1st International Seminar on Smart Molecule of Natural Resources Journal of Physics: Conference Series 1374(2019) 012026 IOP Publishing doi:10.1088/1742-6596/1374/1/012026 5 [5] Hasnaeni and Aminah 2019 Uji aktivitas antioksidan dan profil fitokimia ekstrak kayu beta- beta (Lunasia amara Blanco) Galenika Journal of Pharmacy 5 101-7 [6] Hasnaeni, Sudarsono, Arief N and Sitarina W 2017 Identification of active anti-inflammatory principles of beta-beta wood (Lunasia amara Blanco) from Siawung Barru-South Sulawesi, Indonesia Trop. J. Pharm. Res. 16 161-4 [7] Rafiq S, Rajkumari K, SA Sofi, Nadia B, Fiza N and Gulzar A N 2018 Citrus peel as a source of functional ingredient: a review Journal of The Saudi Society of Agricultural Science 17 351- 8 [8] Zubair M S and Subehan 2010 Molecular docking of lunacridine from Lunasia amara to DNA: its inhibition and interaction study correlated with the cytotoxic activity on P388 murine leukemia cells, Indonesian Journal of Cancer Chemoprevention 1 108-17 [9] Molnar J, Imre O, Laszlo P, Tannaz G, Judit H and Istvan A 2013 Investigation of the antiproliferative action of the quinolone alkaloids kokusagine and skimmianine of human cell lines. Current Signal Transduction Theraphy 8 148-155 [10] Shi W, Hu J, Bao N, Li D, Chen L and Sun J 2016 Design synthesis and cytotoxic activities of scopoletin-isoxazole and scopoletin-pyrazole hybrids Europe PMC 27 147-151 [11] Zafar M, Khan A, Rauf A, Khan A and Lodhi M A 2016 In silico study of alkaloids as α- glucosidase inhibitors : hope for the discovery of effective lead compounds Front. Endocrinol.7 1-17 [12] Thipparapu G, Ajumeera R and Venkatesan V 2017 Novel dihydropyrimidine derivates as potential HDAC inhibitors: in silico study Insilico pharmacol.5 1-9 [13] Mohapatra S, Prasad A, Haque F, Ray S, De B and Ray S S 2015 In silico investigation of black tea component α-amylase and α-glucosidase and lipase Journal of Applied Pharmaceutical Science 5 042-7 [14] Nisha C M, Kumar A, Nair P, Gupta N, Silakari C, Tripathi T and Kumar A 2016 Molecular docking and in silico ADMET study reveals acylguanidine 7a a potential inhibitor of β- secretase Advances in Bioinformatics 2016 1-6 [15] Luo H, Liang D, Bao M, Sun R, Li Y, Li J, Wang X, Lu K and Bao J 2017 In silico identification of potential inhibitors targeting Streptococcus mutans sortase A International Journal of Oral Science 9 53-62 [16] Fitria A, Kholifah H, Umiyatus S, Fitriah and Didik HU 2018 In silico approach for revealing anti-breast cancer and estrogen receptor α inhibitory activity of Artocarpus altilis AIP Conf. Proc. The 8 th Annual Basic Sains International Conference (Malang) 2021 1-7 [17] Mohan R and Venogopal S 2013 In silico molecular interaction studies of gamma-hemolysin of Staphylococcus aureus with flavonoid compounds Trends in Bioinformatic 6 91-100 [18] Fu Y, Zhao J and Chen Z 2018 Insights into the molecular mechanisms of protein-ligand interactions by molecular docking and molecular dynamics simulation: a case of oligopeptide binding protein Computational and Mathematical Methods in Medicine 2018 1-12 [19] Bharathi A, Selvaraj M R, C S Vasavi, Punnagai M, G A Gayathri and M Gayathri 2014 In silico molecular docking and in vitro antidiabetic studies of dihydropyrimidine [4,5-α] acridin-2-amines BioMed Research International 2014 1-10 [20] Nerkar G, Shena A K, Poorvashree J E and Hemant U C 2012 In silico screening synthesis and pharmacological evaluation of novel quinazolines as NMDA receptor inhibitors for anticonvulsant activity Inter. J. Pharm. Pharm. Sci. 4 449-53
  • 7. The 1st International Seminar on Smart Molecule of Natural Resources Journal of Physics: Conference Series 1374(2019) 012026 IOP Publishing doi:10.1088/1742-6596/1374/1/012026 6 [21] Mendhis S, Puska P and Norrving B 2011 Global atlas on cardiovascular disease prevention and control (Switzerland : World Health Organization) [22] Lipinski C A, Lombardo F, Dominy B W and D and Feeney P J 2001 Eksperimental and computational approaches to estimate solubility and permeability in drug discovery and development settings Advance Drug Delivery Reviews 64 1-17 [23] Patrick G 2001 Instant Notes In Medicinal Chemistry (Oxford: BIOS Scientific Publisher) [24] Ekins S, Mestres J and Testa B 2007 In Silico Pharmacology for drug discovery: applications to targets and beyond British Journal Pharmacology 152 21-37