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PDB-BRE: A ligand-protein interaction binding residue extractor based on Protein Data Bank.
Chen, Shutao; Yan, Ke; Liu, Bin.
Afiliação
  • Chen S; School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China.
  • Yan K; School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China.
  • Liu B; School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China.
Proteins ; 92(1): 145-153, 2024 Jan.
Article em En | MEDLINE | ID: mdl-37750380
Proteins typically exert their biological functions by interacting with other biomolecules or ligands. The study of ligand-protein interactions is crucial in elucidating the biological mechanisms of proteins. Most existing studies have focused on analyzing ligand-protein interactions, and they ignore the additional situational of inserted and modified residues. Besides, the resources often support only a single ligand type and cannot obtain satisfied results in analyzing novel complexes. Therefore, it is important to develop a general analytical tool to extract the binding residues of ligand-protein interactions in complexes fully. In this study, we propose a ligand-protein interaction binding residue extractor (PDB-BRE), which can be used to automatically extract interacting ligand or protein-binding residues from complex three-dimensional (3D) structures based on the RCSB Protein Data Bank (RCSB PDB). PDB-BRE offers a notable advantage in its comprehensive support for analyzing six distinct types of ligands, including proteins, peptides, DNA, RNA, mixed DNA and RNA entities, and non-polymeric entities. Moreover, it takes into account the consideration of inserted and modified residues within complexes. Compared to other state-of-the-art methods, PDB-BRE is more suitable for massively parallel batch analysis, and can be directly applied for downstream tasks, such as predicting binding residues of novel complexes. PDB-BRE is freely available at http://bliulab.net/PDB-BRE.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: DNA / Proteínas Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: DNA / Proteínas Idioma: En Ano de publicação: 2024 Tipo de documento: Article