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PLIDflow: an open-source workflow for the online analysis of protein–ligand docking using galaxy
Author(s) -
Eugenia Ulzurrun,
Yorley Duarte,
Esteban Pérez-Wohlfeil,
Fernando D. GonzálezNilo,
Oswaldo Trelles
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa481
Subject(s) - docking (animal) , protein–ligand docking , workflow , computer science , drug discovery , software , virtual screening , computational biology , computational science , bioinformatics , programming language , biology , database , medicine , nursing
Molecular docking is aimed at predicting the conformation of small-molecule (ligands) within an identified binding site (BS) in a target protein (receptor). Protein-ligand docking plays an important role in modern drug discovery and biochemistry for protein engineering. However, efficient docking analysis of proteins requires prior knowledge of the BS, which is not always known. The process which covers BS identification and protein-ligand docking usually requires the combination of different programs, which require several input parameters. This is furtherly aggravated when factoring in computational demands, such as CPU-time. Therefore, these types of simulation experiments can become a complex process for researchers without a background in computer sciences.

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