Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Porto Alegre 91509-900.
Departamento de Biologia Geral, Universidade Federal de Viçosa, Viçosa 36570-000.
Bioinformatics. 2020 Jun 1;36(11):3576-3577. doi: 10.1093/bioinformatics/btaa130.
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.
小分子的构象空间可能非常广阔,难以评估。在溶液中对游离配体进行分子动力学 (MD) 模拟已被应用于预测构象种群,但它们的特征通常基于聚类算法或手动操作。
在这里,我们引入了 ConfID,这是一种使用 MD 轨迹对小分子构象进行特征描述的分析工具。通过计算构象采样和种群频率在轨迹中的演变来检查采样收敛性,同时允许映射相关的构象转变。该工具旨在跟踪构象转变事件,并计算每个检测到的构象种群的时变性质。
工具包和文档可在 http://sbcb.inf.ufrgs.br/confid 免费获得。
marcelo.poleto@ufv.br 或 bigrisci@inf.ufrgs.br。
补充数据可在 Bioinformatics 在线获得。