ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
01 06 2020
01 06 2020
Historique:
received:
16
07
2019
revised:
08
11
2019
accepted:
24
02
2020
pubmed:
28
2
2020
medline:
30
10
2020
entrez:
28
2
2020
Statut:
ppublish
Résumé
The conformational space of small molecules can be vast and difficult to assess. Molecular dynamics (MD) simulations of free ligands in solution have been applied to predict conformational populations, but their characterization is often based on clustering algorithms or manual efforts. Here, we introduce ConfID, an analytical tool for conformational characterization of small molecules using MD trajectories. The evolution of conformational sampling and population frequencies throughout trajectories is calculated to check for sampling convergence while allowing to map relevant conformational transitions. The tool is designed to track conformational transition events and calculate time-dependent properties for each conformational population detected. Toolkit and documentation are freely available at http://sbcb.inf.ufrgs.br/confid. marcelo.poleto@ufv.br or bigrisci@inf.ufrgs.br. Supplementary data are available at Bioinformatics online.
Identifiants
pubmed: 32105299
pii: 5762609
doi: 10.1093/bioinformatics/btaa130
doi:
Substances chimiques
Ligands
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
3576-3577Informations de copyright
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.