WatFinder: a ProDy tool for protein-water interactions

被引:0
|
作者
Krieger, James M. [1 ]
Doljanin, Frane [2 ,3 ]
Bogetti, Anthony T. [4 ]
Zhang, Feng [4 ]
Manivarma, Thiliban [2 ]
Bahar, Ivet [4 ,5 ]
Mikulska-Ruminska, Karolina [2 ]
机构
[1] Natl Ctr Biotechnol CNB CSIC, Dept Macromol Struct, Biocomp Unit, Calle Darwin 3,Campus UAM Cantoblanco, Madrid 28049, Spain
[2] Nicolaus Copernicus Univ Torun, Inst Phys, Fac Phys Astron & Informat, Grudziadzka 5 St, PL-87100 Torun, Poland
[3] Univ Split, Fac Sci, Dept Phys, Split 21000, Croatia
[4] SUNY Stony Brook, Laufer Ctr Phys & Quantitat Biol, Stony Brook, NY 11794 USA
[5] SUNY Stony Brook, Renaissance Sch Med, Dept Biochem & Cell Biol, Stony Brook, NY 11794 USA
基金
美国国家卫生研究院; 欧盟地平线“2020”;
关键词
MOLECULES;
D O I
10.1093/bioinformatics/btae516
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We introduce WatFinder, a tool designed to identify and visualize protein-water interactions (water bridges, water-mediated associations, or water channels, fluxes, and clusters) relevant to protein stability, dynamics, and function. WatFinder is integrated into ProDy, a Python API broadly used for structure-based prediction of protein dynamics. WatFinder provides a suite of functions for generating raw data as well as outputs from statistical analyses. The ProDy framework facilitates comprehensive automation and efficient analysis of the ensembles of structures resolved for a given protein or the time-evolved conformations from simulations in explicit water, as illustrated in five case studies presented in the Supplementary Material. Availability and implementation ProDy is open-source and freely available under MIT License from https://github.com/ProDy/ProDy.
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页数:4
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