SlideShare a Scribd company logo
Drug repositioning for Hepatocellular
carcinoma
Prepared by Anton Yuryev, Ph.D., Elsevier Professional Services, on February 25th
2017
Disclaimer: Data in Pathway Studio and Reaxys Medicinal Chemistry is regular updated by Elsevier.
Therefore the reproduction of workflow described in this report may produce additional results that will
be different from the results presented in this report.
Contents
Selection of drug targets using “Hepatocellular Carcinoma Overview”.......................................................1
Figure 1: Location of “Hepatocellular Carcinoma Overview” pathway in Pathway Studio ..................2
Figure 2: “Hepatocellular Carcinoma Overview” pathway in Pathway Studio.....................................3
Table 1: List of targets from “Hepatocellular Carcinoma Overview” considered in this project..........3
Identification of polypharmacologic compounds for hepatocellular carcinoma using Reaxys Medicinal
Chemistry (RMC)...........................................................................................................................................4
Figure 3: Screenshot of Reaxys Medicinal Chemistry search interface showing query for all targets
names in Table 1 ...................................................................................................................................4
Figure 4: Reaxys Screenshot showing progressive filtering for polypharmacologic compounds
repositioned for hepatocellular carcinoma ..........................................................................................5
Identification of compounds tested against Hepatocellular Carcinoma using Pathway Studio...........5
Figure 5: 122 RMC compounds from Table 2 found in Pathway Studio, 52 of them have links to
“Hepatocellular Carcinoma” disease entity..........................................................................................5
Table 2: List of unique polypharmacologic compounds from RMC found for “Hepatocellular
Carcinoma Overview” and their relations to Hepatocellular Carcinoma in Pathway Studio. ..............6
Conclusion...................................................................................................... Error! Bookmark not defined.
Appendix A. Bioactivities for polypharmacologic compounds inhibiting multiple targets in
“Hepatocellular Carcinoma Overview”.......................................................... Error! Bookmark not defined.
Selection of drug targets using “Hepatocellular Carcinoma Overview”
“Hepatocellular Carcinoma Overview” disease pathway model is available in Pathway Studio Curated
Pathways “Disease Collections” in “Hepatocellular Carcinoma” folder (see screenshot below).
Figure 1: Location of “Hepatocellular Carcinoma Overview” pathway in Pathway Studio
Targets for Hepatocellular Carcinoma disease can be selected by visual inspection of “Hepatocellular
Carcinoma Overview” disease pathway and by reading pathway description available in its “Properties”.
The screenshot below shows “Hepatocellular Carcinoma Overview” as it is available in Pathway Studio.
Proteins with red-highlight are up-regulated in disease; proteins with blue highlight are down-regulated
in disease; proteins shown by white shapes and red border have mutations genetically linked to disease.
The detailed description of curated pathways is available in Pathway Studio Help.
The proteins shown by blue contour on Figure 2 were selected as drug targets. The following criteria for
target selection were used:
1) Targets must be druggable proteins, i.e. have 3D structure suitable for designing drugs. The
following classes of proteins are considered druggable:
a. Proteins that bind small molecules: kinases, metabolic enzymes, GPCRs, phosphatases,
protein modification enzymes, protein channels, proteases, ubiquitin-ligases
b. Secreted and extracellular portions of transmembrane proteins. They can bind antibody
drugs that are unable penetrate a cell for inhibition of intracellular proteins.
2) Targets must be major regulators in disease pathway. The major regulators in “Hepatocellular
Carcinoma Overview” are hormones and their receptors that control different stages of
oncological transformation and cancer growth.
Figure 2: “Hepatocellular Carcinoma Overview” pathway in Pathway Studio
From pathway analysis point of view the best drugs must inhibit multiple targets in disease pathway.
The approach for designing multi-target drugs against specific pathway is called polypharmacology.
Antibody drugs target protein hormones that are typically not druggable by small molecular weight
inhibitors. However, antibody drugs have high target selectivity and are not suitable for
polypharmacology. Therefore we chose receptors and proteins directly modifying the receptors in
“Hepatocellular Carcinoma Overview” for drug targeting. List of targets considered for
polypharmacologic repositioning is shown in Table 1 below.
Table 1: List of targets from “Hepatocellular Carcinoma Overview” considered in this project
Connectivity – number of relations in Pathway Studio database, indicates how much information is
available about the target in scientific literature.
Name Connectivity Description
LRP5 647 low density lipoprotein receptor-related protein 5
FZD7 269 frizzled family receptor 7
LRP6 745 low density lipoprotein receptor-related protein 6
FLT1 2218 fms-related tyrosine kinase 1
ERBB2 4372 erb-b2 receptor tyrosine kinase 2
ERBB3 1116 kinase inactive
FLT4 892 fms-related tyrosine kinase 4
ERBB4 1044 v-erb-a erythroblastic leukemia viral oncogene homolog 4 (avian)
KDR 3649 kinase insert domain receptor
MET 2937 met proto-oncogene (hepatocyte growth factor receptor)
PDGFRA 1417 platelet-derived growth factor receptor, alpha polypeptide
PDGFRB 1684 platelet-derived growth factor receptor, beta polypeptide
EGFR 8416 epidermal growth factor receptor
IGF1R 3244 insulin-like growth factor 1 receptor
NOTCH1 5272 notch 1
TGFBR1 1727 transforming growth factor, beta receptor 1
ADAM17 2014 ADAM metallopeptidase domain 17
-secretase 1470 Gamma-secretase complex cleaving NOTCH1receptor for signaling
Identification of polypharmacologic compounds for hepatocellular
carcinoma using Reaxys Medicinal Chemistry (RMC)
Figure 3: Screenshot of Reaxys Medicinal Chemistry search interface showing query for all
targets names in Table 1
Search for 18 targets from Table 1 in RMC yielded 461,151 bioactivities for 174,851 compounds. In
order to select most potent inhibitors that have high-affinity towards proteins in “Hepatocellular
Carcinoma Overview”, we filtered only compounds with pX>6. The filtering yielded 83,076 bioactivities
for 42,632 compounds. In order to find drugs that passed the first phase of clinical trials, i.e. compounds
that were found safe for humans we filtered only for compounds with highest clinical phase: II, III,
marketed, discontinued on II, discontinued on III. This filtering criterion yielded 2,232 bioactivities for
210 substances.
Figure 4: Reaxys Screenshot showing progressive filtering for polypharmacologic
compounds repositioned for hepatocellular carcinoma
Found bioactivities were exported into Microsoft Excel file using Export menu command in Reaxys with
“Hit data only” menu option. Using functions in Excel we further selected 515 unique compound-target
bioactivities with best pX. The complete list of 515 bioactivities is shown in Appendix A.
Identification of compounds tested against Hepatocellular Carcinoma using Pathway Studio
We were able to find 122 out of 215 RMC compounds in Pathway Studio by importing either Reaxys ID
or compounds names using Import->Import Entity list menu option in Pathway Studio. To find which
compounds were already tested against Hepatocellular Carcinoma we copied all compounds into new
pathway together with “Hepatocellular Carcinoma” disease entity. We then selected “Hepatocellular
Carcinoma” disease entity and used Add->Relations between Selected and Unselected menu option to
find compounds shown to inhibit “Hepatocellular Carcinoma” in various disease models or in patients.
Figure 5: 122 RMC compounds from Table 2 found in Pathway Studio, 52 of them have links
to “Hepatocellular Carcinoma” disease entity.
Table 2: List of unique polypharmacologic compounds from RMC found for “Hepatocellular
Carcinoma Overview” and their relations to Hepatocellular Carcinoma in Pathway Studio.
MedScan ID – compound identifier in Pathway Studio database; Reaxys ID - compound identifier in
Reaxys; # Targets – number of targets inhibited by compound in “Hepatocellular Carcinoma Overview”;
Relation to Hepatocellular Carcinoma– type of relation between compound and Hepatocellular
Carcinoma disease entity in Pathway Studio; # References – number of references supporting relation
between compound and Hepatocellular Carcinoma in Pathway Studio;
Reaxys ID Compound MedScan ID Relation to Hepatocellular
Carcinoma
# References # Targets
6674025 staurosporine 1206148 Regulation 7 10
9161676 vandetanib 1175784 Regulation 3 9
11404252 cediranib 1287940 ClinicalTrial 2 9
11404252 cediranib 1287940 Regulation 2 9
11326138 AEE788 1023004 Regulation 2 9
…….
…….
…….
Table shows partial data. To obtain the complete list of all polypharmacologic compounds the
workflow has to repeated in Pathway Studio 12.0

More Related Content

What's hot

COMPUTER AIDED DRUG DEVELOPMENT
COMPUTER  AIDED DRUG DEVELOPMENTCOMPUTER  AIDED DRUG DEVELOPMENT
COMPUTER AIDED DRUG DEVELOPMENT
JyotiMhoprekar
 
Computational modeling of drug distribution
Computational modeling of drug distribution Computational modeling of drug distribution
Computational modeling of drug distribution
jaatinpubg
 
Mod 5 Poster
Mod 5 PosterMod 5 Poster
Mod 5 Poster
Madison Lewis
 
Biomarkersintoxicologyandclinicalresearch 120726101025-phpapp01
Biomarkersintoxicologyandclinicalresearch 120726101025-phpapp01Biomarkersintoxicologyandclinicalresearch 120726101025-phpapp01
Biomarkersintoxicologyandclinicalresearch 120726101025-phpapp01
lefein
 
Drug distribution and excreation
Drug distribution and excreationDrug distribution and excreation
Drug distribution and excreation
Simmuaditya1996
 
Active transport
Active transportActive transport
Active transport
suresh gautam
 
Stan Kahler CV 2016
Stan Kahler CV 2016Stan Kahler CV 2016
Stan Kahler CV 2016
Stan Kahler
 
admet
admet admet
admet
Alia Malick
 
Cadd ppt
Cadd pptCadd ppt
BaBE-Bioavailability and Bioequivalance
BaBE-Bioavailability and BioequivalanceBaBE-Bioavailability and Bioequivalance
BaBE-Bioavailability and Bioequivalance
Dr. Jigar Vyas
 
Computational modeling in_drug_disposition[1]
Computational modeling in_drug_disposition[1]Computational modeling in_drug_disposition[1]
Computational modeling in_drug_disposition[1]
NikitaGidde
 
Computational modelling of drug disposition
Computational modelling of drug disposition Computational modelling of drug disposition
Computational modelling of drug disposition
lalitajoshi9
 
Computational modelling of drug disposition active transport
Computational modelling of  drug disposition active transportComputational modelling of  drug disposition active transport
Computational modelling of drug disposition active transport
SUJITHA MARY
 
OPRD manuscript final published copy
OPRD manuscript final published copyOPRD manuscript final published copy
OPRD manuscript final published copy
David Jackson
 
Quick start guide
Quick start guideQuick start guide
Quick start guide
Nadin Bogolyubova
 
In vitro screening for evaluation of drugs ADMET properties
In vitro screening for evaluation of drugs ADMET propertiesIn vitro screening for evaluation of drugs ADMET properties
In vitro screening for evaluation of drugs ADMET properties
dilip kumar tampula
 
Pharsight RAS Expertise
Pharsight RAS ExpertisePharsight RAS Expertise
Pharsight RAS Expertise
MLJReimer
 
Seminar on drug disposition
Seminar on drug dispositionSeminar on drug disposition
Seminar on drug disposition
rashmisinha59
 
Qpcrpcr array poster
Qpcrpcr array posterQpcrpcr array poster
Qpcrpcr array poster
Elsa von Licy
 
Integrating Pathway Information with Gene Expression Data to Identify Novel ...
 Integrating Pathway Information with Gene Expression Data to Identify Novel ... Integrating Pathway Information with Gene Expression Data to Identify Novel ...
Integrating Pathway Information with Gene Expression Data to Identify Novel ...
Charlie Pei
 

What's hot (20)

COMPUTER AIDED DRUG DEVELOPMENT
COMPUTER  AIDED DRUG DEVELOPMENTCOMPUTER  AIDED DRUG DEVELOPMENT
COMPUTER AIDED DRUG DEVELOPMENT
 
Computational modeling of drug distribution
Computational modeling of drug distribution Computational modeling of drug distribution
Computational modeling of drug distribution
 
Mod 5 Poster
Mod 5 PosterMod 5 Poster
Mod 5 Poster
 
Biomarkersintoxicologyandclinicalresearch 120726101025-phpapp01
Biomarkersintoxicologyandclinicalresearch 120726101025-phpapp01Biomarkersintoxicologyandclinicalresearch 120726101025-phpapp01
Biomarkersintoxicologyandclinicalresearch 120726101025-phpapp01
 
Drug distribution and excreation
Drug distribution and excreationDrug distribution and excreation
Drug distribution and excreation
 
Active transport
Active transportActive transport
Active transport
 
Stan Kahler CV 2016
Stan Kahler CV 2016Stan Kahler CV 2016
Stan Kahler CV 2016
 
admet
admet admet
admet
 
Cadd ppt
Cadd pptCadd ppt
Cadd ppt
 
BaBE-Bioavailability and Bioequivalance
BaBE-Bioavailability and BioequivalanceBaBE-Bioavailability and Bioequivalance
BaBE-Bioavailability and Bioequivalance
 
Computational modeling in_drug_disposition[1]
Computational modeling in_drug_disposition[1]Computational modeling in_drug_disposition[1]
Computational modeling in_drug_disposition[1]
 
Computational modelling of drug disposition
Computational modelling of drug disposition Computational modelling of drug disposition
Computational modelling of drug disposition
 
Computational modelling of drug disposition active transport
Computational modelling of  drug disposition active transportComputational modelling of  drug disposition active transport
Computational modelling of drug disposition active transport
 
OPRD manuscript final published copy
OPRD manuscript final published copyOPRD manuscript final published copy
OPRD manuscript final published copy
 
Quick start guide
Quick start guideQuick start guide
Quick start guide
 
In vitro screening for evaluation of drugs ADMET properties
In vitro screening for evaluation of drugs ADMET propertiesIn vitro screening for evaluation of drugs ADMET properties
In vitro screening for evaluation of drugs ADMET properties
 
Pharsight RAS Expertise
Pharsight RAS ExpertisePharsight RAS Expertise
Pharsight RAS Expertise
 
Seminar on drug disposition
Seminar on drug dispositionSeminar on drug disposition
Seminar on drug disposition
 
Qpcrpcr array poster
Qpcrpcr array posterQpcrpcr array poster
Qpcrpcr array poster
 
Integrating Pathway Information with Gene Expression Data to Identify Novel ...
 Integrating Pathway Information with Gene Expression Data to Identify Novel ... Integrating Pathway Information with Gene Expression Data to Identify Novel ...
Integrating Pathway Information with Gene Expression Data to Identify Novel ...
 

Similar to Drug repositioning for hepatocellular carcinoma

Clinical proteomics in diseases lecture, 2014
Clinical proteomics in diseases lecture, 2014Clinical proteomics in diseases lecture, 2014
Clinical proteomics in diseases lecture, 2014
Mohammad Hessam Rafiee
 
Several Types of PROTACs Based On Nucleic Acids
Several Types of PROTACs Based On Nucleic AcidsSeveral Types of PROTACs Based On Nucleic Acids
Several Types of PROTACs Based On Nucleic Acids
DoriaFang
 
BioExpo 2023 Presentation - Computational Chemistry in Drug Discovery: Bridgi...
BioExpo 2023 Presentation - Computational Chemistry in Drug Discovery: Bridgi...BioExpo 2023 Presentation - Computational Chemistry in Drug Discovery: Bridgi...
BioExpo 2023 Presentation - Computational Chemistry in Drug Discovery: Bridgi...
Trustlife
 
QPS Regulated Bioanalysis of Antibody Drug Conjugates
QPS Regulated Bioanalysis of Antibody Drug ConjugatesQPS Regulated Bioanalysis of Antibody Drug Conjugates
QPS Regulated Bioanalysis of Antibody Drug Conjugates
QPS Holdings, LLC
 
Poster on systems pharmacology of the cholesterol biosynthesis pathway
Poster on systems pharmacology of the cholesterol biosynthesis pathwayPoster on systems pharmacology of the cholesterol biosynthesis pathway
Poster on systems pharmacology of the cholesterol biosynthesis pathway
Guide to PHARMACOLOGY
 
The Future Development of ADC For Cancer.pdf
The Future Development of ADC For Cancer.pdfThe Future Development of ADC For Cancer.pdf
The Future Development of ADC For Cancer.pdf
DoriaFang
 
Introduction to the drug discovery process
Introduction to the drug discovery processIntroduction to the drug discovery process
Introduction to the drug discovery process
Thanh Truong
 
JCP/?PRESENTATION IN A JOURNAL CLUB.....
JCP/?PRESENTATION IN A JOURNAL CLUB.....JCP/?PRESENTATION IN A JOURNAL CLUB.....
JCP/?PRESENTATION IN A JOURNAL CLUB.....
Dr. Ajit Surya Singh
 
MA et al. 2017_SciReps
MA et al. 2017_SciRepsMA et al. 2017_SciReps
MA et al. 2017_SciReps
Dennis Ma
 
Rational_Drug_Design.ppt
Rational_Drug_Design.pptRational_Drug_Design.ppt
Rational_Drug_Design.ppt
Seema Bansal
 
Drug metabolism and toxicity 2013
Drug metabolism and toxicity 2013Drug metabolism and toxicity 2013
Drug metabolism and toxicity 2013
Elsa von Licy
 
Research Avenues in Drug discovery of natural products
Research Avenues in Drug discovery of natural productsResearch Avenues in Drug discovery of natural products
Research Avenues in Drug discovery of natural products
Devakumar Jain
 
Drug Design:Discovery, Development and Delivery
Drug Design:Discovery, Development and DeliveryDrug Design:Discovery, Development and Delivery
Drug Design:Discovery, Development and Delivery
Prof. Dr. Basavaraj Nanjwade
 
2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool
2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool
2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool
Alain van Gool
 
Treatment of breast cancer by TDDS
Treatment of breast cancer by TDDSTreatment of breast cancer by TDDS
Treatment of breast cancer by TDDS
Raman Deep
 
Personalized Medicine: Matching cancer drugs with mechanism (AAPS webinar)
Personalized Medicine: Matching cancer drugs with mechanism (AAPS webinar)Personalized Medicine: Matching cancer drugs with mechanism (AAPS webinar)
Personalized Medicine: Matching cancer drugs with mechanism (AAPS webinar)
Anton Yuryev
 
Genomics & Proteomics Based Drug Discovery
Genomics & Proteomics Based Drug DiscoveryGenomics & Proteomics Based Drug Discovery
Genomics & Proteomics Based Drug Discovery
Prof. Dr. Basavaraj Nanjwade
 
Peptide Drug Conjugates (PDCs) Novel Targeted Therapeutics For Cancer.pdf
Peptide Drug Conjugates (PDCs) Novel Targeted Therapeutics For Cancer.pdfPeptide Drug Conjugates (PDCs) Novel Targeted Therapeutics For Cancer.pdf
Peptide Drug Conjugates (PDCs) Novel Targeted Therapeutics For Cancer.pdf
DoriaFang
 
International Journal of Pharmaceutical Science Invention (IJPSI)
International Journal of Pharmaceutical Science Invention (IJPSI)International Journal of Pharmaceutical Science Invention (IJPSI)
International Journal of Pharmaceutical Science Invention (IJPSI)
inventionjournals
 
Role of instrumentation in Pharmacology
Role of instrumentation in PharmacologyRole of instrumentation in Pharmacology
Role of instrumentation in Pharmacology
Ashishkumar Baheti
 

Similar to Drug repositioning for hepatocellular carcinoma (20)

Clinical proteomics in diseases lecture, 2014
Clinical proteomics in diseases lecture, 2014Clinical proteomics in diseases lecture, 2014
Clinical proteomics in diseases lecture, 2014
 
Several Types of PROTACs Based On Nucleic Acids
Several Types of PROTACs Based On Nucleic AcidsSeveral Types of PROTACs Based On Nucleic Acids
Several Types of PROTACs Based On Nucleic Acids
 
BioExpo 2023 Presentation - Computational Chemistry in Drug Discovery: Bridgi...
BioExpo 2023 Presentation - Computational Chemistry in Drug Discovery: Bridgi...BioExpo 2023 Presentation - Computational Chemistry in Drug Discovery: Bridgi...
BioExpo 2023 Presentation - Computational Chemistry in Drug Discovery: Bridgi...
 
QPS Regulated Bioanalysis of Antibody Drug Conjugates
QPS Regulated Bioanalysis of Antibody Drug ConjugatesQPS Regulated Bioanalysis of Antibody Drug Conjugates
QPS Regulated Bioanalysis of Antibody Drug Conjugates
 
Poster on systems pharmacology of the cholesterol biosynthesis pathway
Poster on systems pharmacology of the cholesterol biosynthesis pathwayPoster on systems pharmacology of the cholesterol biosynthesis pathway
Poster on systems pharmacology of the cholesterol biosynthesis pathway
 
The Future Development of ADC For Cancer.pdf
The Future Development of ADC For Cancer.pdfThe Future Development of ADC For Cancer.pdf
The Future Development of ADC For Cancer.pdf
 
Introduction to the drug discovery process
Introduction to the drug discovery processIntroduction to the drug discovery process
Introduction to the drug discovery process
 
JCP/?PRESENTATION IN A JOURNAL CLUB.....
JCP/?PRESENTATION IN A JOURNAL CLUB.....JCP/?PRESENTATION IN A JOURNAL CLUB.....
JCP/?PRESENTATION IN A JOURNAL CLUB.....
 
MA et al. 2017_SciReps
MA et al. 2017_SciRepsMA et al. 2017_SciReps
MA et al. 2017_SciReps
 
Rational_Drug_Design.ppt
Rational_Drug_Design.pptRational_Drug_Design.ppt
Rational_Drug_Design.ppt
 
Drug metabolism and toxicity 2013
Drug metabolism and toxicity 2013Drug metabolism and toxicity 2013
Drug metabolism and toxicity 2013
 
Research Avenues in Drug discovery of natural products
Research Avenues in Drug discovery of natural productsResearch Avenues in Drug discovery of natural products
Research Avenues in Drug discovery of natural products
 
Drug Design:Discovery, Development and Delivery
Drug Design:Discovery, Development and DeliveryDrug Design:Discovery, Development and Delivery
Drug Design:Discovery, Development and Delivery
 
2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool
2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool
2014 11-27 ODDP 2014 course, Amsterdam, Alain van Gool
 
Treatment of breast cancer by TDDS
Treatment of breast cancer by TDDSTreatment of breast cancer by TDDS
Treatment of breast cancer by TDDS
 
Personalized Medicine: Matching cancer drugs with mechanism (AAPS webinar)
Personalized Medicine: Matching cancer drugs with mechanism (AAPS webinar)Personalized Medicine: Matching cancer drugs with mechanism (AAPS webinar)
Personalized Medicine: Matching cancer drugs with mechanism (AAPS webinar)
 
Genomics & Proteomics Based Drug Discovery
Genomics & Proteomics Based Drug DiscoveryGenomics & Proteomics Based Drug Discovery
Genomics & Proteomics Based Drug Discovery
 
Peptide Drug Conjugates (PDCs) Novel Targeted Therapeutics For Cancer.pdf
Peptide Drug Conjugates (PDCs) Novel Targeted Therapeutics For Cancer.pdfPeptide Drug Conjugates (PDCs) Novel Targeted Therapeutics For Cancer.pdf
Peptide Drug Conjugates (PDCs) Novel Targeted Therapeutics For Cancer.pdf
 
International Journal of Pharmaceutical Science Invention (IJPSI)
International Journal of Pharmaceutical Science Invention (IJPSI)International Journal of Pharmaceutical Science Invention (IJPSI)
International Journal of Pharmaceutical Science Invention (IJPSI)
 
Role of instrumentation in Pharmacology
Role of instrumentation in PharmacologyRole of instrumentation in Pharmacology
Role of instrumentation in Pharmacology
 

More from Anton Yuryev

Knowledge graph applications for cosmetics industry
Knowledge graph applications for cosmetics industryKnowledge graph applications for cosmetics industry
Knowledge graph applications for cosmetics industry
Anton Yuryev
 
Five drug development strategies to combat SARS-CoV2
Five drug development strategies to combat SARS-CoV2Five drug development strategies to combat SARS-CoV2
Five drug development strategies to combat SARS-CoV2
Anton Yuryev
 
Drugs predicted to bind #COVID19 proteins by computational docking
Drugs predicted to bind #COVID19 proteins by computational dockingDrugs predicted to bind #COVID19 proteins by computational docking
Drugs predicted to bind #COVID19 proteins by computational docking
Anton Yuryev
 
Genetic variations linked to Acute Respiratory Distress syndrome
Genetic variations linked to Acute Respiratory Distress syndromeGenetic variations linked to Acute Respiratory Distress syndrome
Genetic variations linked to Acute Respiratory Distress syndrome
Anton Yuryev
 
AAK1 GAK inhibitors for anti-COVID19 therapy
AAK1 GAK inhibitors for anti-COVID19 therapyAAK1 GAK inhibitors for anti-COVID19 therapy
AAK1 GAK inhibitors for anti-COVID19 therapy
Anton Yuryev
 
Drug re-positioning for tuberculosis infection in HIV/ADS patients
Drug re-positioning for tuberculosis infection in HIV/ADS patients Drug re-positioning for tuberculosis infection in HIV/ADS patients
Drug re-positioning for tuberculosis infection in HIV/ADS patients
Anton Yuryev
 
Patient microbiome analysis using Elsevier text mining
Patient microbiome analysis using Elsevier text miningPatient microbiome analysis using Elsevier text mining
Patient microbiome analysis using Elsevier text mining
Anton Yuryev
 
Gallbladder cancer patient analysis
Gallbladder cancer patient analysisGallbladder cancer patient analysis
Gallbladder cancer patient analysis
Anton Yuryev
 
OMICs data analysis using Pathway Studio
OMICs data analysis using Pathway StudioOMICs data analysis using Pathway Studio
OMICs data analysis using Pathway Studio
Anton Yuryev
 
Analysis of gene expression microarray data of patients with Spinal Muscular ...
Analysis of gene expression microarray data of patients with Spinal Muscular ...Analysis of gene expression microarray data of patients with Spinal Muscular ...
Analysis of gene expression microarray data of patients with Spinal Muscular ...
Anton Yuryev
 
Humira repositioning report
Humira repositioning reportHumira repositioning report
Humira repositioning report
Anton Yuryev
 
Pathway Studio v.12 Release Notes
Pathway Studio v.12 Release NotesPathway Studio v.12 Release Notes
Pathway Studio v.12 Release Notes
Anton Yuryev
 
Analysis of Functional Magnetic Resonance Imaging (fMRI) data from human brai...
Analysis of Functional Magnetic Resonance Imaging (fMRI) data from human brai...Analysis of Functional Magnetic Resonance Imaging (fMRI) data from human brai...
Analysis of Functional Magnetic Resonance Imaging (fMRI) data from human brai...
Anton Yuryev
 
Elsevier helps malaria research with comprehensive Plasmodium biology database
Elsevier helps malaria research with comprehensive Plasmodium biology databaseElsevier helps malaria research with comprehensive Plasmodium biology database
Elsevier helps malaria research with comprehensive Plasmodium biology database
Anton Yuryev
 
Presentation at Rare Disease conference in San-Antonio
Presentation at Rare Disease conference in San-AntonioPresentation at Rare Disease conference in San-Antonio
Presentation at Rare Disease conference in San-Antonio
Anton Yuryev
 
Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...
Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...
Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...
Anton Yuryev
 
Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...
Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...
Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...
Anton Yuryev
 
ELSS use cases and strategy
ELSS use cases and strategyELSS use cases and strategy
ELSS use cases and strategy
Anton Yuryev
 
Pathway analysis for personalized oncology
Pathway analysis for personalized oncologyPathway analysis for personalized oncology
Pathway analysis for personalized oncology
Anton Yuryev
 
Construction of cancer pathways for personalized medicine
Construction of cancer pathways for personalized medicineConstruction of cancer pathways for personalized medicine
Construction of cancer pathways for personalized medicine
Anton Yuryev
 

More from Anton Yuryev (20)

Knowledge graph applications for cosmetics industry
Knowledge graph applications for cosmetics industryKnowledge graph applications for cosmetics industry
Knowledge graph applications for cosmetics industry
 
Five drug development strategies to combat SARS-CoV2
Five drug development strategies to combat SARS-CoV2Five drug development strategies to combat SARS-CoV2
Five drug development strategies to combat SARS-CoV2
 
Drugs predicted to bind #COVID19 proteins by computational docking
Drugs predicted to bind #COVID19 proteins by computational dockingDrugs predicted to bind #COVID19 proteins by computational docking
Drugs predicted to bind #COVID19 proteins by computational docking
 
Genetic variations linked to Acute Respiratory Distress syndrome
Genetic variations linked to Acute Respiratory Distress syndromeGenetic variations linked to Acute Respiratory Distress syndrome
Genetic variations linked to Acute Respiratory Distress syndrome
 
AAK1 GAK inhibitors for anti-COVID19 therapy
AAK1 GAK inhibitors for anti-COVID19 therapyAAK1 GAK inhibitors for anti-COVID19 therapy
AAK1 GAK inhibitors for anti-COVID19 therapy
 
Drug re-positioning for tuberculosis infection in HIV/ADS patients
Drug re-positioning for tuberculosis infection in HIV/ADS patients Drug re-positioning for tuberculosis infection in HIV/ADS patients
Drug re-positioning for tuberculosis infection in HIV/ADS patients
 
Patient microbiome analysis using Elsevier text mining
Patient microbiome analysis using Elsevier text miningPatient microbiome analysis using Elsevier text mining
Patient microbiome analysis using Elsevier text mining
 
Gallbladder cancer patient analysis
Gallbladder cancer patient analysisGallbladder cancer patient analysis
Gallbladder cancer patient analysis
 
OMICs data analysis using Pathway Studio
OMICs data analysis using Pathway StudioOMICs data analysis using Pathway Studio
OMICs data analysis using Pathway Studio
 
Analysis of gene expression microarray data of patients with Spinal Muscular ...
Analysis of gene expression microarray data of patients with Spinal Muscular ...Analysis of gene expression microarray data of patients with Spinal Muscular ...
Analysis of gene expression microarray data of patients with Spinal Muscular ...
 
Humira repositioning report
Humira repositioning reportHumira repositioning report
Humira repositioning report
 
Pathway Studio v.12 Release Notes
Pathway Studio v.12 Release NotesPathway Studio v.12 Release Notes
Pathway Studio v.12 Release Notes
 
Analysis of Functional Magnetic Resonance Imaging (fMRI) data from human brai...
Analysis of Functional Magnetic Resonance Imaging (fMRI) data from human brai...Analysis of Functional Magnetic Resonance Imaging (fMRI) data from human brai...
Analysis of Functional Magnetic Resonance Imaging (fMRI) data from human brai...
 
Elsevier helps malaria research with comprehensive Plasmodium biology database
Elsevier helps malaria research with comprehensive Plasmodium biology databaseElsevier helps malaria research with comprehensive Plasmodium biology database
Elsevier helps malaria research with comprehensive Plasmodium biology database
 
Presentation at Rare Disease conference in San-Antonio
Presentation at Rare Disease conference in San-AntonioPresentation at Rare Disease conference in San-Antonio
Presentation at Rare Disease conference in San-Antonio
 
Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...
Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...
Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...
 
Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...
Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...
Profiling how Immune inhibitors Secreted by Melanoma affect NK & other immune...
 
ELSS use cases and strategy
ELSS use cases and strategyELSS use cases and strategy
ELSS use cases and strategy
 
Pathway analysis for personalized oncology
Pathway analysis for personalized oncologyPathway analysis for personalized oncology
Pathway analysis for personalized oncology
 
Construction of cancer pathways for personalized medicine
Construction of cancer pathways for personalized medicineConstruction of cancer pathways for personalized medicine
Construction of cancer pathways for personalized medicine
 

Recently uploaded

Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
ElizabethGarrettChri
 
University of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma TranscriptUniversity of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma Transcript
soxrziqu
 
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
apvysm8
 
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
taqyea
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
Social Samosa
 
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
y3i0qsdzb
 
A presentation that explain the Power BI Licensing
A presentation that explain the Power BI LicensingA presentation that explain the Power BI Licensing
A presentation that explain the Power BI Licensing
AlessioFois2
 
writing report business partner b1+ .pdf
writing report business partner b1+ .pdfwriting report business partner b1+ .pdf
writing report business partner b1+ .pdf
VyNguyen709676
 
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Walaa Eldin Moustafa
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
sameer shah
 
UofT毕业证如何办理
UofT毕业证如何办理UofT毕业证如何办理
UofT毕业证如何办理
exukyp
 
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
mkkikqvo
 
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Kaxil Naik
 
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
v7oacc3l
 
Monthly Management report for the Month of May 2024
Monthly Management report for the Month of May 2024Monthly Management report for the Month of May 2024
Monthly Management report for the Month of May 2024
facilitymanager11
 
Intelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicineIntelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicine
AndrzejJarynowski
 
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
z6osjkqvd
 
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Aggregage
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
bmucuha
 
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataPredictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Kiwi Creative
 

Recently uploaded (20)

Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
 
University of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma TranscriptUniversity of New South Wales degree offer diploma Transcript
University of New South Wales degree offer diploma Transcript
 
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
 
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
 
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
 
A presentation that explain the Power BI Licensing
A presentation that explain the Power BI LicensingA presentation that explain the Power BI Licensing
A presentation that explain the Power BI Licensing
 
writing report business partner b1+ .pdf
writing report business partner b1+ .pdfwriting report business partner b1+ .pdf
writing report business partner b1+ .pdf
 
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
 
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...
 
UofT毕业证如何办理
UofT毕业证如何办理UofT毕业证如何办理
UofT毕业证如何办理
 
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
 
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...
 
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
在线办理(英国UCA毕业证书)创意艺术大学毕业证在读证明一模一样
 
Monthly Management report for the Month of May 2024
Monthly Management report for the Month of May 2024Monthly Management report for the Month of May 2024
Monthly Management report for the Month of May 2024
 
Intelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicineIntelligence supported media monitoring in veterinary medicine
Intelligence supported media monitoring in veterinary medicine
 
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
一比一原版英属哥伦比亚大学毕业证(UBC毕业证书)学历如何办理
 
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
 
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataPredictably Improve Your B2B Tech Company's Performance by Leveraging Data
Predictably Improve Your B2B Tech Company's Performance by Leveraging Data
 

Drug repositioning for hepatocellular carcinoma

  • 1. Drug repositioning for Hepatocellular carcinoma Prepared by Anton Yuryev, Ph.D., Elsevier Professional Services, on February 25th 2017 Disclaimer: Data in Pathway Studio and Reaxys Medicinal Chemistry is regular updated by Elsevier. Therefore the reproduction of workflow described in this report may produce additional results that will be different from the results presented in this report. Contents Selection of drug targets using “Hepatocellular Carcinoma Overview”.......................................................1 Figure 1: Location of “Hepatocellular Carcinoma Overview” pathway in Pathway Studio ..................2 Figure 2: “Hepatocellular Carcinoma Overview” pathway in Pathway Studio.....................................3 Table 1: List of targets from “Hepatocellular Carcinoma Overview” considered in this project..........3 Identification of polypharmacologic compounds for hepatocellular carcinoma using Reaxys Medicinal Chemistry (RMC)...........................................................................................................................................4 Figure 3: Screenshot of Reaxys Medicinal Chemistry search interface showing query for all targets names in Table 1 ...................................................................................................................................4 Figure 4: Reaxys Screenshot showing progressive filtering for polypharmacologic compounds repositioned for hepatocellular carcinoma ..........................................................................................5 Identification of compounds tested against Hepatocellular Carcinoma using Pathway Studio...........5 Figure 5: 122 RMC compounds from Table 2 found in Pathway Studio, 52 of them have links to “Hepatocellular Carcinoma” disease entity..........................................................................................5 Table 2: List of unique polypharmacologic compounds from RMC found for “Hepatocellular Carcinoma Overview” and their relations to Hepatocellular Carcinoma in Pathway Studio. ..............6 Conclusion...................................................................................................... Error! Bookmark not defined. Appendix A. Bioactivities for polypharmacologic compounds inhibiting multiple targets in “Hepatocellular Carcinoma Overview”.......................................................... Error! Bookmark not defined. Selection of drug targets using “Hepatocellular Carcinoma Overview” “Hepatocellular Carcinoma Overview” disease pathway model is available in Pathway Studio Curated Pathways “Disease Collections” in “Hepatocellular Carcinoma” folder (see screenshot below).
  • 2. Figure 1: Location of “Hepatocellular Carcinoma Overview” pathway in Pathway Studio Targets for Hepatocellular Carcinoma disease can be selected by visual inspection of “Hepatocellular Carcinoma Overview” disease pathway and by reading pathway description available in its “Properties”. The screenshot below shows “Hepatocellular Carcinoma Overview” as it is available in Pathway Studio. Proteins with red-highlight are up-regulated in disease; proteins with blue highlight are down-regulated in disease; proteins shown by white shapes and red border have mutations genetically linked to disease. The detailed description of curated pathways is available in Pathway Studio Help. The proteins shown by blue contour on Figure 2 were selected as drug targets. The following criteria for target selection were used: 1) Targets must be druggable proteins, i.e. have 3D structure suitable for designing drugs. The following classes of proteins are considered druggable: a. Proteins that bind small molecules: kinases, metabolic enzymes, GPCRs, phosphatases, protein modification enzymes, protein channels, proteases, ubiquitin-ligases b. Secreted and extracellular portions of transmembrane proteins. They can bind antibody drugs that are unable penetrate a cell for inhibition of intracellular proteins. 2) Targets must be major regulators in disease pathway. The major regulators in “Hepatocellular Carcinoma Overview” are hormones and their receptors that control different stages of oncological transformation and cancer growth.
  • 3. Figure 2: “Hepatocellular Carcinoma Overview” pathway in Pathway Studio From pathway analysis point of view the best drugs must inhibit multiple targets in disease pathway. The approach for designing multi-target drugs against specific pathway is called polypharmacology. Antibody drugs target protein hormones that are typically not druggable by small molecular weight inhibitors. However, antibody drugs have high target selectivity and are not suitable for polypharmacology. Therefore we chose receptors and proteins directly modifying the receptors in “Hepatocellular Carcinoma Overview” for drug targeting. List of targets considered for polypharmacologic repositioning is shown in Table 1 below. Table 1: List of targets from “Hepatocellular Carcinoma Overview” considered in this project Connectivity – number of relations in Pathway Studio database, indicates how much information is available about the target in scientific literature. Name Connectivity Description LRP5 647 low density lipoprotein receptor-related protein 5 FZD7 269 frizzled family receptor 7 LRP6 745 low density lipoprotein receptor-related protein 6 FLT1 2218 fms-related tyrosine kinase 1 ERBB2 4372 erb-b2 receptor tyrosine kinase 2 ERBB3 1116 kinase inactive FLT4 892 fms-related tyrosine kinase 4 ERBB4 1044 v-erb-a erythroblastic leukemia viral oncogene homolog 4 (avian)
  • 4. KDR 3649 kinase insert domain receptor MET 2937 met proto-oncogene (hepatocyte growth factor receptor) PDGFRA 1417 platelet-derived growth factor receptor, alpha polypeptide PDGFRB 1684 platelet-derived growth factor receptor, beta polypeptide EGFR 8416 epidermal growth factor receptor IGF1R 3244 insulin-like growth factor 1 receptor NOTCH1 5272 notch 1 TGFBR1 1727 transforming growth factor, beta receptor 1 ADAM17 2014 ADAM metallopeptidase domain 17 -secretase 1470 Gamma-secretase complex cleaving NOTCH1receptor for signaling Identification of polypharmacologic compounds for hepatocellular carcinoma using Reaxys Medicinal Chemistry (RMC) Figure 3: Screenshot of Reaxys Medicinal Chemistry search interface showing query for all targets names in Table 1 Search for 18 targets from Table 1 in RMC yielded 461,151 bioactivities for 174,851 compounds. In order to select most potent inhibitors that have high-affinity towards proteins in “Hepatocellular Carcinoma Overview”, we filtered only compounds with pX>6. The filtering yielded 83,076 bioactivities for 42,632 compounds. In order to find drugs that passed the first phase of clinical trials, i.e. compounds that were found safe for humans we filtered only for compounds with highest clinical phase: II, III, marketed, discontinued on II, discontinued on III. This filtering criterion yielded 2,232 bioactivities for 210 substances.
  • 5. Figure 4: Reaxys Screenshot showing progressive filtering for polypharmacologic compounds repositioned for hepatocellular carcinoma Found bioactivities were exported into Microsoft Excel file using Export menu command in Reaxys with “Hit data only” menu option. Using functions in Excel we further selected 515 unique compound-target bioactivities with best pX. The complete list of 515 bioactivities is shown in Appendix A. Identification of compounds tested against Hepatocellular Carcinoma using Pathway Studio We were able to find 122 out of 215 RMC compounds in Pathway Studio by importing either Reaxys ID or compounds names using Import->Import Entity list menu option in Pathway Studio. To find which compounds were already tested against Hepatocellular Carcinoma we copied all compounds into new pathway together with “Hepatocellular Carcinoma” disease entity. We then selected “Hepatocellular Carcinoma” disease entity and used Add->Relations between Selected and Unselected menu option to find compounds shown to inhibit “Hepatocellular Carcinoma” in various disease models or in patients. Figure 5: 122 RMC compounds from Table 2 found in Pathway Studio, 52 of them have links to “Hepatocellular Carcinoma” disease entity.
  • 6. Table 2: List of unique polypharmacologic compounds from RMC found for “Hepatocellular Carcinoma Overview” and their relations to Hepatocellular Carcinoma in Pathway Studio. MedScan ID – compound identifier in Pathway Studio database; Reaxys ID - compound identifier in Reaxys; # Targets – number of targets inhibited by compound in “Hepatocellular Carcinoma Overview”; Relation to Hepatocellular Carcinoma– type of relation between compound and Hepatocellular Carcinoma disease entity in Pathway Studio; # References – number of references supporting relation between compound and Hepatocellular Carcinoma in Pathway Studio; Reaxys ID Compound MedScan ID Relation to Hepatocellular Carcinoma # References # Targets 6674025 staurosporine 1206148 Regulation 7 10 9161676 vandetanib 1175784 Regulation 3 9 11404252 cediranib 1287940 ClinicalTrial 2 9 11404252 cediranib 1287940 Regulation 2 9 11326138 AEE788 1023004 Regulation 2 9 ……. ……. ……. Table shows partial data. To obtain the complete list of all polypharmacologic compounds the workflow has to repeated in Pathway Studio 12.0