The document describes the development and refinement of a quantitative structure-activity relationship (QSAR) model to predict the biological activity of pyranenamine compounds. It discusses 5 stages of synthesizing analogs and developing the QSAR equation based on substituents. Anomalies identified were used to refine the model terms. The final optimized QSAR equation considered parameters like hydrophilicity, hydrogen bonding, resonance effects, and steric hindrance to identify a hypothetical compound over 1000 times more active than the lead compound.
PHARMACOHORE MAPPING AND VIRTUAL SCRRENING FOR RESEARCH DEPARTMENTShikha Popali
THE PHARMACOPHORE MAPPING AND VIRTUAL SCRRENING , THESE PRESENTATION INCLUDES THE DEATIL ACCOUNT ON PHARMACOPHORE, MAPPING, ITS IDENTIFIATION FEATURES, ITS CONFORMATIONAL SEARCH, INSILICO DRUG DESIGN, VIRTUAL SCREENING, PHARMACOPHORE BASED SCREENING
What is QSAR?, introduction to 3D QSAR, CoMFA, CoMSIA, Case Study on CoMFA contour maps analysis and CoMSIA interactive forces between ligand and receptor, various Statistical techniques involved in QSAR
SAR versus QSAR, History and development of QSAR, Types of physicochemical
parameters, experimental and theoretical approaches for the determination of
physicochemical parameters such as Partition coefficient, Hammet’s substituent
constant and Taft’s steric constant. Hansch analysis, Free Wilson analysis, 3D-QSAR
approaches like COMFA and COMSIA.
PHARMACOHORE MAPPING AND VIRTUAL SCRRENING FOR RESEARCH DEPARTMENTShikha Popali
THE PHARMACOPHORE MAPPING AND VIRTUAL SCRRENING , THESE PRESENTATION INCLUDES THE DEATIL ACCOUNT ON PHARMACOPHORE, MAPPING, ITS IDENTIFIATION FEATURES, ITS CONFORMATIONAL SEARCH, INSILICO DRUG DESIGN, VIRTUAL SCREENING, PHARMACOPHORE BASED SCREENING
What is QSAR?, introduction to 3D QSAR, CoMFA, CoMSIA, Case Study on CoMFA contour maps analysis and CoMSIA interactive forces between ligand and receptor, various Statistical techniques involved in QSAR
SAR versus QSAR, History and development of QSAR, Types of physicochemical
parameters, experimental and theoretical approaches for the determination of
physicochemical parameters such as Partition coefficient, Hammet’s substituent
constant and Taft’s steric constant. Hansch analysis, Free Wilson analysis, 3D-QSAR
approaches like COMFA and COMSIA.
In this slide I covered the detailed about hansch analysis, Free-Wilson analysis, and Mixed approach. I also gave a detailed application for each points.
Introduction of QSAR, Steps involved in QSAR, Hansch Analysis, Free Wilson Analysis, Mixed Approach method, Advantage,Disadvantage and Application of QSAR.
The screening of chemical libraries with traditional methods, such as high-throughput screening (HTS), is expensive and time consuming. Quantitative structure–activity relation (QSAR) modeling is an alternative method that can assist in the selection of lead molecules by using the information from
reference active and inactive compounds. This approach requires good molecular descriptors that are representative of the molecular features responsible for the relevant molecular activity.
A quantitative structure-activity relationship
(QSAR) correlates measurable or calculable
physical or molecular properties to some
specific biological activity in terms of an
equation.
A QSAR is a mathematical relationship between a biological activity of a molecular system and its geometric and chemical characteristics.
QSAR attempts to find consistent relationship between biological activity and molecular properties, so that these “rules” can be used to evaluate the activity of new compounds.
In this slide I covered the detailed about hansch analysis, Free-Wilson analysis, and Mixed approach. I also gave a detailed application for each points.
Introduction of QSAR, Steps involved in QSAR, Hansch Analysis, Free Wilson Analysis, Mixed Approach method, Advantage,Disadvantage and Application of QSAR.
The screening of chemical libraries with traditional methods, such as high-throughput screening (HTS), is expensive and time consuming. Quantitative structure–activity relation (QSAR) modeling is an alternative method that can assist in the selection of lead molecules by using the information from
reference active and inactive compounds. This approach requires good molecular descriptors that are representative of the molecular features responsible for the relevant molecular activity.
A quantitative structure-activity relationship
(QSAR) correlates measurable or calculable
physical or molecular properties to some
specific biological activity in terms of an
equation.
A QSAR is a mathematical relationship between a biological activity of a molecular system and its geometric and chemical characteristics.
QSAR attempts to find consistent relationship between biological activity and molecular properties, so that these “rules” can be used to evaluate the activity of new compounds.
This is a PRESENTATION just to help students to easily understand one of the method of drug designing i.e. QSAR.. this is a combination of many slides and books..this is not my personal.
Quantitative structure - activity relationship (QSAR)
Why QSAR?
costs – 800M$ to bring a new drug to market
Patent life time is limited (generic drugs)
Synthesis / Purification of compounds is expensive and time consume-able
It is like find a needle in the haystack
QSAR helps for focusing most promising drug candidates
QSAR is a mathematical relationship between a “biological activity of a molecular system” and its “geometric and chemical characteristics”.
Such relationships holds – Equations can be drawn up- some confidence
to which should be Fit to the target
QSAR what actually do?
IDENTIFY AND QUANTIFY the Physico-chemical properties effect on Drug’s Biological activity
Aims
To relate the biological activity of a series of compounds to their physicochemical parameters in a quantitative fashion using a mathematical formula
Requirements
Quantitative measurements for biological and physicochemical properties
Physicochemical Properties
Hydrophobicity of the molecule
Hydrophobicity of substituents
Electronic properties of substituents
Steric properties of substituents
QSAR equations are only applicable to compounds in the same structural class (e.g. ethers)
However, log Po is similar for anaesthetics of different structural classes (ca. 2.3)
Structures with log P ca. 2.3 enter the CNS easily
(e.g. potent barbiturates have a log P of approximately 2.0)
Can alter log P value of drugs away from 2.0 to avoid CNS side effects
Physical properties are measured for the molecule as a whole
Properties are calculated using computer software
No experimental constants or measurements are involved
Properties are known as ‘Fields’
Steric field - defines the size and shape of the molecule
Electrostatic field - defines electron rich/poor regions of molecule
Hydrophobic properties are relatively unimportant
No reliance on experimental values
Can be applied to molecules with unusual substituents
Not restricted to molecules of the same structural class
Predictive capability
Comparative molecular field analysis (CoMFA) - Tripos
Build each molecule using modelling software
Identify the active conformation for each molecule
Identify the pharmacophore
THANKING YOU
Towards Predictable Transmembrane Transport: QSAR Analysis of the Anion Bindi...Philip Gale
The transport of anions across biological membranes by small molecules is a growing research field due to the potential therapeutic benefits of these compounds. However, little is known about the exact mechanism by which these drug-like molecules work and which molecular features make a good transporter. An extended series of 1-hexyl-3-phenylthioureas were synthesized, fully characterized (NMR, mass spectrometry, IR and single crystal diffraction) and their anion binding and anion transport properties were assessed using 1H NMR titration techniques and a variety of vesicle-based experiments. Quantitative structure-activity relationship (QSAR) analysis revealed that the anion binding abilities of the mono-thioureas are dominated by the (hydrogen bond) acidity of the thiourea NH function. Furthermore, mathematical models show that the experimental transmembrane anion transport ability is mainly dependent on the lipophilicity of the transporter (partitioning into the membrane), but smaller contributions of molecular size (diffusion) and hydrogen bond acidity (anion binding) were also present. Finally, we provide the first step towards predictable anion transport by employing the QSAR equations to estimate the transmembrane transport ability of four new compounds.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
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We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
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What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
5. • The biological activity of the parent structure is
measured and compared with the activity of
analogues bearing different substituents
• An equation is derived relating biological
activity to the presence or absence of particular
substituents
Activity = k1X1 + k2X2 +.…knXn + Z
6. • Xn is an indicator variable which is
given the value 0 or 1 depending on
whether the substituent (n) is present
or not
• The contribution of each substituent (n)
to activity is determined by the value of
kn
• Z is a constant representing the overall
activity of the structures studied
7. QSAR analysis of pyranenamines .
(Anti-allergy compounds)
O OH OH X
O O O
NH
Y
Z
3
4
5
8. O OH OH X
O O O
Stage 1 19 structures were synthesised to study p and s
C
Log
1
= - 0.14Sp - 1.35( Ss )2 - 0.72
Sp and Ss = total values for p and s for all substituents
NH
Conclusions:
•Activity drops as p increases
•Hydrophobic substituents are bad for activity - unusual
•Any value of s results in a drop in activity
•Substituents should not be e-donating or e-withdrawing (activity falls if sis
+ve or -ve)
Y
Z
3
4
5
9. O OH OH X
Stage 2 61 structures were synthesised, concentrating on hydrophilic
substituents to test the first equation
Anomalies
a) 3-NHCOMe, 3-NHCOEt, 3-NHCOPr.
Activity should drop as alkyl group becomes bigger and more
hydrophobic, but the activity is similar for all three substituents
b) OH, SH, NH2 and NHCOR at position 5 : Activity is greater than
expected
c) NHSO2R : Activity is worse than expected
d) 3,5-(CF3)2 and 3,5(NHMe)2 : Activity is greater than expected
e) 4-Acyloxy : Activity is 5 x greater than expected
O O O
NH
Y
Z
3
4
5
10. a) 3-NHCOMe, 3-NHCOEt, 3-NHCOPr.
Possible steric factor at work.
Increasing the size of R may be good for activity.
Provide optimum receptor interaction.
b) OH, SH, NH2, and NHCOR at position 5
Possibly involved in H-bonding
O OH OH X
O O O
NH
c) NHSO2R
Exception to H-bonding theory - perhaps bad for steric or electronic
reasons
Y
Z
3
4
5
Theories
11. d) 3,5-(CF3)2 and 3,5-(NHMe)2
The only disubstituted structures where a
substituent at position 5 was electron
withdrawing
e) 4-Acyloxy
Presumably acts as a prodrug allowing easier
crossing of cell membranes.
The group is hydrolysed once across the
membrane.
12. O OH OH X
Stage 3 Alter the QSAR equation to take account of new results
Log
1
C
2
= - 0.30Sp - 1.35(Ss )
+ 2.0(F- 5) + 0.39(345-HBD) - 0.63(NHSO
2
)
+0.78(M-V) + 0.72(4-OCO) - 0.75
O O O
NH
Y
Z
3
4
5
13. Conclusions
(F-5) Electron-withdrawing group at position 5 increases
activity (based on only 2 compounds though)
(3,4,5-HBD) HBD at positions 3, 4,or 5 is good for activity
Term = 1 if a HBD group is at any of these positions
Term = 2 if HBD groups are at two of these positions
Term = 0 if no HBD group is present at these positions
Each HBD group increases activity by 0.39
(NHSO2) Equals 1 if NHSO2 is present (bad for activity by -0.63).
Equals zero if group is absent.
(M-V) Volume of any meta substituent. Large substituents at
meta position increase activity
4-O-CO Equals 1 if acyloxy group is present (activity increases by
0.72).
Equals 0 if group absent
14. O OH OH X
O O O
Stage 3 Alter the QSAR equation to take account of new results
Log
1
C
NH
= -0.30Sp - 1.35(Ss )2 + 2.0(F-5) + 0.39(345-HBD) -0.63(NHSO2)
+0.78(M-V) + 0.72(4-OCO) - 0.75
Note
The terms (3,4,5-HBD), (NHSO2), and 4-O-CO are examples of indicator
variables used in the free-Wilson approach and included in a Hansch
equation
Y
Z
3
4
5
15. O OH OH X
O O O
NH
Y
4
Z
3
5
Stage 4
37 Structures were synthesised to test steric and F-5 parameters, as well as the
effects of hydrophilic, H-bonding groups
Anomalies
Two H-bonding groups are bad if they are ortho to each other
Explanation
Possibly groups at the ortho position bond with each other rather than with the
receptor - an intramolecular interaction
16. Stage 5 Revise Equation
Log
1
C
O OH OH X
NOTES
a) Increasing the hydrophilicity of substituents allows the identification
of an
optimum value for p (Sp = -5). The equation is now parabolic (-0.034
(Sp)2)
= - 0.034( Sp )2 - 0.33Sp + 4.3(F - 5) + 1.3 (R - 5) - 1.7(Ss )2 +
0.73(345 - HBD) - 0.86 (HB INTRA) - 0.69(NHSO
2
)
+ 0.72(4
-
OCO) - 0.59
O O O
NH
Y
Z
3
4
5
17. b) The optimum value of Sp is very low and implies a
hydrophilic binding site
c) R-5 implies that resonance effects are important at position 5
d) HB-INTRA equals 1 for H-bonding groups ortho to each other
(act. drops -086)
equals 0 if H-bonding groups are not ortho to
each other
e) The steric parameter is no longer significant and is not
present
18. Case Study
Stage 6 Hypothetical receptor binding intractions of pyranenamines
OH
NH3
X
X
XH X
3
5
NH
NH
O
C
CH
CH2OH
C CH CH2OH
O OH
RHN
19. Case Study
NOTES on the optimum structure
•It has unusual NHCOCH(OH)CH2OH groups at positions 3 and 5
•It is 1000 times more active than the lead compound
•The substituents at positions 3 and 5
•are highly polar,
•are capable of hydrogen bonding,
•are at the meta positions and are not ortho to each other
•allow a favourable F-5 parameter for the substituent at position 5
•The structure has a negligible (Ss)2 value
20. REFERENCES
1. An introduction to medicinal chemistry by Graham
L Patric 3rd edition pagee no:271-298
2. Foye : Principles of medicinal chemistry
3. Burgers medicinal chemistry