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Related Concept Videos

Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Quantitative Aspects of Drug-Receptor Interaction01:30

Quantitative Aspects of Drug-Receptor Interaction

The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower Kd...
Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
G Protein-coupled Receptors01:15

G Protein-coupled Receptors

G Protein-Coupled Receptors or GPCRs are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to sensory stimuli such as light, odors, hormones, cytokines, or neurotransmitters.
GPCRs are also called heptahelical, 7TM, or serpentine receptors, and consist of seven (H1-H7) transmembrane alpha-helices that span the bilayer to form a cylindrical core. The transmembrane helices are connected by three extracellular loops and three...
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence the...

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Related Experiment Video

Updated: Jun 24, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
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Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors

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Three-dimensional quantitative structure-activity relationship studies on c-Src inhibitors based on different docking

Santhosh Kumar Bairy1, B V S Suneel Kumar, Joseph Uday Tej Bhalla

  • 1bioCampus, GVK Biosciences, S-1, Phase-1, Technocrats Industrial Estate, Balanagar, Hyderabad 500 037, AP, India.

Chemical Biology & Drug Design
|March 18, 2009
PubMed
Summary
This summary is machine-generated.

This study developed 3D-QSAR models for quinazolin derivatives targeting c-Src kinase. The best model, based on Molecular Field Analysis (MFA) using GLIDE, can guide the design of new inhibitors for cancer and bone diseases.

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Last Updated: Jun 24, 2026

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Area of Science:

  • Medicinal Chemistry
  • Computational Chemistry
  • Pharmacology

Background:

  • c-Src kinase is crucial for cell growth and differentiation.
  • Inhibitors of c-Src kinase are potential treatments for cancer, osteoporosis, and metastatic bone disease.

Purpose of the Study:

  • To perform 3D-QSAR studies on quinazolin derivatives that inhibit c-Src kinase.
  • To develop predictive models for designing novel and potent c-Src kinase inhibitors.

Main Methods:

  • Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies were conducted.
  • Molecular Field Analysis (MFA) models were developed using GLIDE, GOLD, LIGANDFIT, and Least Squares alignment techniques.

Main Results:

  • The GLIDE-based MFA model demonstrated superior performance.
  • Key metrics for the GLIDE model include r(2)(cv) = 0.923 and r(2) = 0.958.
  • The study identified essential descriptors for compound activity.

Conclusions:

  • The developed 3D-QSAR models provide insights into structural requirements for c-Src kinase inhibition.
  • These findings offer guidance for the rational design of new c-Src kinase inhibitors.