The document discusses how the electronic distribution of a drug molecule influences its biological activity and interactions with target sites. It introduces the Hammett constants which quantify electronic effects of substituents on aromatic rings. Hansch analysis attempts to mathematically relate drug activity to measurable chemical and physical properties using parameters like Hammett constants, molar refractivity, and steric factors. Craig plots provide a visual representation of substituent electronic properties.
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.
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.
THE PRODRUG DESIGNING FOR NEW SELECTION AND FORMULATION OF DRUG COMPATIBLE WITH API I.E. ACTIVE PHARMACUTICAL INGREDIENT, AND ITS EFFECT WHICH SHOULD BE 0. THE DRUG COMBINED WITH API AND AVILABLE IN MARKET AND DRUGS NEED TO BE COMBINE ARE ALSO DISCUSSED WITH ITS STRUCTURE AND SAR, AND COVERED AS PER THE SYLLABUS OF PCI.
The Hammett Plot is a type of Linear Free-Energy Relationship (LFER) analysis designed to model the electronic effect of substituents on aromatic systems (in the para and meta positions only). Information gathered can be used to probe the mechanism of the reaction and can be applied in the optimization of reaction conditions.
Contributed by: Eric Amerling & Christine Nervig (Undergraduates), University of Utah, 2013
THE DRUG DESIGN AND DEVELOPMENT BASED ON DRUG DISCOVERY ,HERE ITS NEED RATIONALE ARE EXPLAINED ALSO QSAR, MOLECULAR DOCKING ITS HISTORY NEED, STRUCTURE BASED DRUG DESIGN IN EASY WAY WE HAVE MENTIONED. THIS WILL MAKE READERS EASY TO COLLECT DATA AT A PLACE ALL OVER THIS IS FOR PHARMA STUDENTS, ACADEMICS, PROFESSIONL AND OST USEFUL FOR RESEARCHERS.
THANK YOU
HOPE YOU WILL LIKE AND SHARE
Cadd and molecular modeling for M.PharmShikha Popali
THE CADD IS FOR THE DRUG DEVELOPMENT THE DIFFERENT STRATEGIES ARE MENTIONED LIKE QSAR MOLECULAR DOCKING, THE DIFFERENT DIMNSIONAL FORMS OF QSAR , THE ADVANCE SAR of it.
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.
It is the presentation for Combinatorial Chemistry. this presentation should be helpful for B. Pharm students. It includes introduction, types, applications, advantages and disadvantages.
THE PRODRUG DESIGNING FOR NEW SELECTION AND FORMULATION OF DRUG COMPATIBLE WITH API I.E. ACTIVE PHARMACUTICAL INGREDIENT, AND ITS EFFECT WHICH SHOULD BE 0. THE DRUG COMBINED WITH API AND AVILABLE IN MARKET AND DRUGS NEED TO BE COMBINE ARE ALSO DISCUSSED WITH ITS STRUCTURE AND SAR, AND COVERED AS PER THE SYLLABUS OF PCI.
The Hammett Plot is a type of Linear Free-Energy Relationship (LFER) analysis designed to model the electronic effect of substituents on aromatic systems (in the para and meta positions only). Information gathered can be used to probe the mechanism of the reaction and can be applied in the optimization of reaction conditions.
Contributed by: Eric Amerling & Christine Nervig (Undergraduates), University of Utah, 2013
THE DRUG DESIGN AND DEVELOPMENT BASED ON DRUG DISCOVERY ,HERE ITS NEED RATIONALE ARE EXPLAINED ALSO QSAR, MOLECULAR DOCKING ITS HISTORY NEED, STRUCTURE BASED DRUG DESIGN IN EASY WAY WE HAVE MENTIONED. THIS WILL MAKE READERS EASY TO COLLECT DATA AT A PLACE ALL OVER THIS IS FOR PHARMA STUDENTS, ACADEMICS, PROFESSIONL AND OST USEFUL FOR RESEARCHERS.
THANK YOU
HOPE YOU WILL LIKE AND SHARE
Cadd and molecular modeling for M.PharmShikha Popali
THE CADD IS FOR THE DRUG DEVELOPMENT THE DIFFERENT STRATEGIES ARE MENTIONED LIKE QSAR MOLECULAR DOCKING, THE DIFFERENT DIMNSIONAL FORMS OF QSAR , THE ADVANCE SAR of it.
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.
It is the presentation for Combinatorial Chemistry. this presentation should be helpful for B. Pharm students. It includes introduction, types, applications, advantages and disadvantages.
This is a ppt on Medicinal chemistry, just made to help out and give the students of CLASS XI studying in CBSE about what Medicinal Chemistry is >>Please do feedback in the comments part
Insilico methods for design of novel inhibitors of Human leukocyte elastaseJayashankar Lakshmanan
Oral contributed paper “Insilico methods for design of novel inhibitors of Human leukocyte elastase” in the International conference on Systemics, Cybernetics and Informatics-2006
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
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