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PacDOCK: A Web Server for Positional Distance-Based and Interaction-Based Analysis of Docking Results.
Carbone, Jacopo; Ghidini, Alessia; Romano, Antonio; Gentilucci, Luca; Musiani, Francesco.
Afiliação
  • Carbone J; Department of Chemistry "G. Ciamician", University of Bologna, Via Selmi 2, 40126 Bologna, Italy.
  • Ghidini A; Laboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, Viale G. Fanin 40, 40127 Bologna, Italy.
  • Romano A; Department of Chemistry "G. Ciamician", University of Bologna, Via Selmi 2, 40126 Bologna, Italy.
  • Gentilucci L; Laboratory of Bioinorganic Chemistry, Department of Pharmacy and Biotechnology, University of Bologna, Viale G. Fanin 40, 40127 Bologna, Italy.
  • Musiani F; Wiraki, Via Laurentina 749, 00143 Rome, Italy.
Molecules ; 27(20)2022 Oct 14.
Article em En | MEDLINE | ID: mdl-36296477
ABSTRACT
Molecular docking is a key method for structure-based drug design used to predict the conformations assumed by small drug-like ligands when bound to their target. However, the evaluation of molecular docking studies can be hampered by the lack of a free and easy to use platform for the complete analysis of results obtained by the principal docking programs. To this aim, we developed PacDOCK, a freely available and user-friendly web server that comprises a collection of tools for positional distance-based and interaction-based analysis of docking results, which can be provided in several file formats. PacDOCK allows a complete analysis of molecular docking results through root mean square deviation (RMSD) calculation, molecular visualization, and cluster analysis of docked poses. The RMSD calculation compares docked structures with a reference structure, also when atoms are randomly labelled, and their conformational and positional differences can be visualised. In addition, it is possible to visualise a ligand into the target binding pocket and investigate the key receptor-ligand interactions. Moreover, PacDOCK enables the clustering of docking results by identifying a restrained number of clusters from many docked poses. We believe that PacDOCK will contribute to facilitating the analysis of docking results to improve the efficiency of computer-aided drug design.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Computadores Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Computadores Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Itália