Unknown

Dataset Information

0

Electrostatic similarities between protein and small molecule ligands facilitate the design of protein-protein interaction inhibitors.


ABSTRACT: One of the underlying principles in drug discovery is that a biologically active compound is complimentary in shape and molecular recognition features to its receptor. This principle infers that molecules binding to the same receptor may share some common features. Here, we have investigated whether the electrostatic similarity can be used for the discovery of small molecule protein-protein interaction inhibitors (SMPPIIs). We have developed a method that can be used to evaluate the similarity of electrostatic potentials between small molecules and known protein ligands. This method was implemented in a software called EleKit. Analyses of all available (at the time of research) SMPPII structures indicate that SMPPIIs bear some similarities of electrostatic potential with the ligand proteins of the same receptor. This is especially true for the more polar SMPPIIs. Retrospective analysis of several successful SMPPIIs has shown the applicability of EleKit in the design of new SMPPIIs.

SUBMITTER: Voet A 

PROVIDER: S-EPMC3794991 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

altmetric image

Publications

Electrostatic similarities between protein and small molecule ligands facilitate the design of protein-protein interaction inhibitors.

Voet Arnout A   Berenger Francois F   Zhang Kam Y J KY  

PloS one 20131010 10


One of the underlying principles in drug discovery is that a biologically active compound is complimentary in shape and molecular recognition features to its receptor. This principle infers that molecules binding to the same receptor may share some common features. Here, we have investigated whether the electrostatic similarity can be used for the discovery of small molecule protein-protein interaction inhibitors (SMPPIIs). We have developed a method that can be used to evaluate the similarity o  ...[more]

Similar Datasets

| S-EPMC7179467 | biostudies-literature
| S-EPMC5823691 | biostudies-literature
| S-EPMC5734307 | biostudies-literature
| S-EPMC5180416 | biostudies-literature
| S-EPMC4159589 | biostudies-literature
| S-EPMC6044933 | biostudies-literature
| S-EPMC2692895 | biostudies-literature
| S-EPMC6404525 | biostudies-literature
| S-EPMC4329994 | biostudies-literature
| S-EPMC4128255 | biostudies-literature