ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories

Author:

Polêto Marcelo D12,Grisci Bruno I3,Dorn Marcio3,Verli Hugo1

Affiliation:

1. Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Porto Alegre 91509-900

2. Departamento de Biologia Geral, Universidade Federal de Viçosa, Viçosa 36570-000

3. Instituto de Informática, Universidade Federal do Rio Grande do Sul, Porto Alegre 91509-900, Brazil

Abstract

Abstract Motivation 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. Results 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. Availability and implementation Toolkit and documentation are freely available at http://sbcb.inf.ufrgs.br/confid Contact marcelo.poleto@ufv.br or bigrisci@inf.ufrgs.br Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

CNPq

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

CAPES

CAPES/Drug Discovery

CAPES/PROBRAL

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Alexander von Humboldt-Stiftung

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3