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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...
Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Adrenergic Agonists: Chemistry and Structure-Activity Relationship01:16

Adrenergic Agonists: Chemistry and Structure-Activity Relationship

Adrenergic agonists' structure-activity relationship (SAR) determines their selectivity and efficacy. These agonists comprise a phenylethylamine moiety with an aromatic ring and an ethylamine side chain.
Aromatic ring substitutions: Substituting the aromatic ring with –OH groups at positions 3 and 4 yields catecholamines (e.g., epinephrine), which have a high affinity for adrenoceptors. Hydrogen bonding between –OH groups and receptors enhances adrenergic activity.
Separation of the aromatic...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

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A Protocol for Computer-Based Protein Structure and Function Prediction
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Published on: November 3, 2011

Multitarget structure-activity relationships characterized by activity-difference maps and consensus similarity

José L Medina-Franco1, Austin B Yongye, Jaime Pérez-Villanueva

  • 1Torrey Pines Institute for Molecular Studies, Port St. Lucie, Florida 34987, United States. jmedina@tpims.org

Journal of Chemical Information and Modeling
|August 17, 2011
PubMed
Summary

Dual and triple activity-difference (DAD/TAD) maps systematically characterize structure-activity relationships (SAR) for multiple targets. These maps reveal activity cliffs and scaffold hops, aiding drug discovery by visualizing compound potency changes.

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Area of Science:

  • Computational chemistry
  • Medicinal chemistry
  • Pharmacology

Background:

  • Structure-activity relationships (SAR) are crucial for drug discovery.
  • Dual and triple activity-difference (DAD/TAD) maps offer systematic SAR characterization for multiple targets.
  • Understanding SAR for monoamine transporters is vital for neurological drug development.

Purpose of the Study:

  • To systematically characterize the SAR of compounds screened against dopamine, norepinephrine, and serotonin transporters using DAD/TAD maps.
  • To investigate the impact of different structural representations on SAR landscape analysis.
  • To identify and analyze activity cliffs and scaffold hops across multiple targets.

Main Methods:

  • Application of DAD/TAD maps to a benchmark set of 299 compounds.
  • Utilized five different 2D and 3D structure representations to assess SAR landscape stability.
  • Analysis of pairwise activity differences and structural similarities to identify SAR features.
  • Quantification of activity cliffs and scaffold hops using mean SALI and Consensus SAS maps.

Main Results:

  • DAD/TAD maps successfully revealed regions of similar and inverse SAR across two or three transporters.
  • Identified single-, dual-, and triple-target activity cliffs, indicating small structural changes with large potency shifts.
  • Demonstrated the utility of DAD/TAD maps in visualizing complex SAR landscapes and identifying scaffold hops.

Conclusions:

  • DAD/TAD maps are effective tools for comprehensive SAR analysis across multiple targets.
  • The study highlights the importance of considering structural representations in SAR landscape interpretation.
  • These methods facilitate the identification of critical structural modifications for optimizing multi-target drug candidates.