Related Experiment Video
Updated: May 29, 2026
05:50
Pharmacophore Modeling for Targets with Extensive Ligand Libraries: A Case Study on SARS-CoV-2 Mpro
Published on: September 26, 2025
Representation of multi-target activity landscapes through target pair-based compound encoding in self-organizing
1Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität Bonn, Dahlmannstr. 2, D-53113 Bonn, Germany.
Chemical Biology & Drug Design
|September 8, 2011
Summary
This study introduces a novel multi-target activity landscape model using self-organizing maps to visualize complex structure-activity relationships. The approach effectively identifies key determinants in multi-target compound datasets.
Area of Science:
- Computational chemistry
- Cheminformatics
- Drug discovery
Background:
- Activity landscape models map structure-activity relationships (SAR) in compound datasets.
- Traditional models focus on single-target activity, but multi-target data necessitates new approaches.
- Exploring multi-target SAR is crucial due to increasing compound data.
Purpose of the Study:
- To develop a novel multi-target activity landscape design for exploring complex SAR.
- To introduce and apply a new model for visualizing and interpreting multi-target activity data.
- To identify determinants of multi-target SAR in analog series.
Main Methods:
- Utilized a 2D projection of chemical reference space via self-organizing maps.
- Encoded compounds as arrays of pair-wise target activity relationships.
- Introduced the concept of discontinuity in multi-target activity space.
Main Results:
- Developed a well-ordered, interpretable multi-target activity landscape model.
- Successfully highlighted centers of discontinuity in activity space.
- Applied the model to analyze datasets with 3-5 target annotations, identifying key SAR determinants.
Conclusions:
- The new model offers a conceptually different and effective approach to multi-target activity landscapes.
- The model facilitates straightforward interpretation of complex multi-target SAR.
- This method aids in understanding and navigating multi-target chemical space for drug discovery.
Related Concept Videos
01:26Targets for Drug Action: Overview
Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
01:28Structure-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...
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...
02:51Multi-species Conserved Sequences
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
02:26Protein 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,...
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,...