LibME—automatic extraction of 3D ligand-binding motifs for mechanistic analysis of protein–ligand recognition

Wei He, Zhi Liang, Mai Kun Teng, Li Wen Niu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Identifying conserved binding motifs is an efficient way to study protein–ligand recognition. Most 3D binding motifs only contain information from the protein side, and so motifs that combine information from both protein and ligand sides are desired. Here, we propose an algorithm called LibME (Ligand-binding Motif Extractor), which automatically extracts 3D binding motifs composed of the target ligand and surrounding conserved residues. We show that the motifs extracted by LibME for ATP and its analogs are highly similar to well-known motifs reported by previous studies. The superiority of our method to handle flexible ligands was also demonstrated using isocitric acid as an example. Finally, we show that these motifs, together with their visual exhibition, permit better investigating and understanding of protein–ligand recognition process.

Original languageEnglish (US)
Pages (from-to)1331-1340
Number of pages10
JournalFEBS Open Bio
Volume6
Issue number12
DOIs
StatePublished - Dec 1 2016
Externally publishedYes

Keywords

  • algorithm
  • binding motif
  • protein–ligand recognition

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology

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