↓ Skip to main content

PLOS

Preference of Small Molecules for Local Minimum Conformations when Binding to Proteins

Overview of attention for article published in PLOS ONE, September 2007
Altmetric Badge

Mentioned by

wikipedia
4 Wikipedia pages

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
67 Mendeley
Title
Preference of Small Molecules for Local Minimum Conformations when Binding to Proteins
Published in
PLOS ONE, September 2007
DOI 10.1371/journal.pone.0000820
Pubmed ID
Authors

Qi Wang, Yuan-Ping Pang

Abstract

It is well known that small molecules (ligands) do not necessarily adopt their lowest potential energy conformations when binding to proteins. Analyses of protein-bound ligand crystal structures have reportedly shown that many of them do not even adopt the conformations at local minima of their potential energy surfaces (local minimum conformations). The results of these analyses raise a concern regarding the validity of virtual screening methods that use ligands in local minimum conformations. Here we report a normal-mode-analysis (NMA) study of 100 crystal structures of protein-bound ligands. Our data show that the energy minimization of a ligand alone does not automatically stop at a local minimum conformation if the minimum of the potential energy surface is shallow, thus leading to the folding of the ligand. Furthermore, our data show that all 100 ligand conformations in their protein-bound ligand crystal structures are nearly identical to their local minimum conformations obtained from NMA-monitored energy minimization, suggesting that ligands prefer to adopt local minimum conformations when binding to proteins. These results both support virtual screening methods that use ligands in local minimum conformations and caution about possible adverse effect of excessive energy minimization when generating a database of ligand conformations for virtual screening.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Germany 1 1%
Indonesia 1 1%
Italy 1 1%
India 1 1%
Canada 1 1%
Argentina 1 1%
Romania 1 1%
China 1 1%
Other 2 3%
Unknown 55 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 30%
Researcher 19 28%
Student > Master 8 12%
Student > Bachelor 4 6%
Student > Doctoral Student 3 4%
Other 7 10%
Unknown 6 9%
Readers by discipline Count As %
Chemistry 27 40%
Agricultural and Biological Sciences 16 24%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Medicine and Dentistry 3 4%
Other 5 7%
Unknown 7 10%