pyCaverDock: Python implementation of the popular tool for analysis of ligand transport with advanced caching and batch calculation support

Author:

Vavra Ondrej12,Beranek Jakub3,Stourac Jan12ORCID,Surkovsky Martin3,Filipovic Jiri4,Damborsky Jiri12ORCID,Martinovic Jan3,Bednar David12ORCID

Affiliation:

1. Loschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University , 625 00 Brno, Czech Republic

2. International Clinical Research Center, St. Anne’s University Hospital Brno , 656 91 Brno, Czech Republic

3. IT4Innovations, VSB – Technical University of Ostrava , 17. listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic

4. Institute of Computer Science, Masaryk University , 602 00 Brno, Czech Republic

Abstract

Abstract Summary Access pathways in enzymes are crucial for the passage of substrates and products of catalysed reactions. The process can be studied by computational means with variable degrees of precision. Our in-house approximative method CaverDock provides a fast and easy way to set up and run ligand binding and unbinding calculations through protein tunnels and channels. Here we introduce pyCaverDock, a Python3 API designed to improve user experience with the tool and further facilitate the ligand transport analyses. The API enables users to simplify the steps needed to use CaverDock, from automatizing setup processes to designing screening pipelines. Availability and implementation pyCaverDock API is implemented in Python 3 and is freely available with detailed documentation and practical examples at https://loschmidt.chemi.muni.cz/caverdock/.

Funder

Czech Ministry of Education

Publisher

Oxford University Press (OUP)

Subject

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

Reference18 articles.

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