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开源软件名称:inpacdb/POAP开源软件地址:https://github.com/inpacdb/POAP开源编程语言:开源软件介绍:POAPPOAP-Parallelized Open Babel & Autodock suite PipelinePOAP: A GNU Parallel based multithreaded pipeline of Open Babeland Autodock suite for boosted HighThroughput Virtual Screening POAP tool is a bash shell script based pipeline which can be used to optimize ligands for docking using openbabel and also to perform virtual screening using Autodock Suite. It allows users to interactively choose options for performing ligand optimization for large sets of ligands. POAP uses GNU parallel to perform the fast and efficient way for the completion of jobs by optimally utilising multiple CPU threads, thereby reducing the time effectively. It also quarantines the ligands causing error during preparation, enabling seamless operability. POAP implements dynamic filehandling methods for efficient memory usage and data organization.
This tool is distributed under the GNU General Public License (GPL). This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License. This program is distributed in the hope that it will be useful,but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. Usage Scripts will be available in the directory scripts cd scripts/ To start ligand preparation you can strat the script by bash POAP_ligprep.bash -s To start Virtual Screening pipeline you can start the script by bash POAP_vs.bash -s For more information you can type -h or look into the Manual for detailed information on usage and other optional flags available. Version v1.0 Authors Samdani.A & Umashankar.V For queries please contact: [email protected] POAP is also available for download at http://www.sankaranethralaya.org/research-bioinformatics-poap.html since 21-jul-2017 Please Cite: POAP: A GNU parallel based multithreaded pipeline of open babel and AutoDock suite for boosted high throughput virtual screening, A. Samdani, Umashankar Vetrivel, Computational Biology and Chemistry 74 (2018) 39–48. Link to pubmed for the article Asbstract: https://www.ncbi.nlm.nih.gov/pubmed/29533817 |
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