Structural feature-driven pattern analysis for multitarget modulator landscapes.

ABSTRACT:

Motivation

Multitargeting features of small molecules have been of increasing interest in recent years. Polypharmacological drugs that address several therapeutic targets may provide greater therapeutic benefits for patients. Furthermore, multitarget compounds can be used to address proteins of the same (or similar) protein families for their exploration as potential pharmacological targets. In addition, the knowledge of multitargeting features is of major importance in the drug selection process; particularly in ultra-large virtual screening procedures to gain high-quality compound collections. However, large-scale multitarget modulator landscapes are almost non-existent.

Results

We implemented a specific feature-driven computer-aided pattern analysis (C@PA) to extract mole

SUBMITTER: Namasivayam V 

PROVIDER: S-EPMC8826350 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature