Cargando…
chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery
BACKGROUND: Analyzing files containing chemical information is at the core of cheminformatics. Each analysis may require a unique workflow. This paper describes the chemalot and chemalot_knime open source packages. Chemalot is a set of command line programs with a wide range of functionalities for c...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5468363/ https://www.ncbi.nlm.nih.gov/pubmed/29086196 http://dx.doi.org/10.1186/s13321-017-0228-9 |
_version_ | 1783243423360221184 |
---|---|
author | Lee, Man-Ling Aliagas, Ignacio Feng, Jianwen A. Gabriel, Thomas O’Donnell, T. J. Sellers, Benjamin D. Wiswedel, Bernd Gobbi, Alberto |
author_facet | Lee, Man-Ling Aliagas, Ignacio Feng, Jianwen A. Gabriel, Thomas O’Donnell, T. J. Sellers, Benjamin D. Wiswedel, Bernd Gobbi, Alberto |
author_sort | Lee, Man-Ling |
collection | PubMed |
description | BACKGROUND: Analyzing files containing chemical information is at the core of cheminformatics. Each analysis may require a unique workflow. This paper describes the chemalot and chemalot_knime open source packages. Chemalot is a set of command line programs with a wide range of functionalities for cheminformatics. The chemalot_knime package allows command line programs that read and write SD files from stdin and to stdout to be wrapped into KNIME nodes. The combination of chemalot and chemalot_knime not only facilitates the compilation and maintenance of sequences of command line programs but also allows KNIME workflows to take advantage of the compute power of a LINUX cluster. RESULTS: Use of the command line programs is demonstrated in three different workflow examples: (1) A workflow to create a data file with project-relevant data for structure–activity or property analysis and other type of investigations, (2) The creation of a quantitative structure–property-relationship model using the command line programs via KNIME nodes, and (3) The analysis of strain energy in small molecule ligand conformations from the Protein Data Bank database. CONCLUSIONS: The chemalot and chemalot_knime packages provide lightweight and powerful tools for many tasks in cheminformatics. They are easily integrated with other open source and commercial command line tools and can be combined to build new and even more powerful tools. The chemalot_knime package facilitates the generation and maintenance of user-defined command line workflows, taking advantage of the graphical design capabilities in KNIME. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13321-017-0228-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5468363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-54683632017-06-26 chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery Lee, Man-Ling Aliagas, Ignacio Feng, Jianwen A. Gabriel, Thomas O’Donnell, T. J. Sellers, Benjamin D. Wiswedel, Bernd Gobbi, Alberto J Cheminform Software BACKGROUND: Analyzing files containing chemical information is at the core of cheminformatics. Each analysis may require a unique workflow. This paper describes the chemalot and chemalot_knime open source packages. Chemalot is a set of command line programs with a wide range of functionalities for cheminformatics. The chemalot_knime package allows command line programs that read and write SD files from stdin and to stdout to be wrapped into KNIME nodes. The combination of chemalot and chemalot_knime not only facilitates the compilation and maintenance of sequences of command line programs but also allows KNIME workflows to take advantage of the compute power of a LINUX cluster. RESULTS: Use of the command line programs is demonstrated in three different workflow examples: (1) A workflow to create a data file with project-relevant data for structure–activity or property analysis and other type of investigations, (2) The creation of a quantitative structure–property-relationship model using the command line programs via KNIME nodes, and (3) The analysis of strain energy in small molecule ligand conformations from the Protein Data Bank database. CONCLUSIONS: The chemalot and chemalot_knime packages provide lightweight and powerful tools for many tasks in cheminformatics. They are easily integrated with other open source and commercial command line tools and can be combined to build new and even more powerful tools. The chemalot_knime package facilitates the generation and maintenance of user-defined command line workflows, taking advantage of the graphical design capabilities in KNIME. [Figure: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13321-017-0228-9) contains supplementary material, which is available to authorized users. Springer International Publishing 2017-06-12 /pmc/articles/PMC5468363/ /pubmed/29086196 http://dx.doi.org/10.1186/s13321-017-0228-9 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Lee, Man-Ling Aliagas, Ignacio Feng, Jianwen A. Gabriel, Thomas O’Donnell, T. J. Sellers, Benjamin D. Wiswedel, Bernd Gobbi, Alberto chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery |
title | chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery |
title_full | chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery |
title_fullStr | chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery |
title_full_unstemmed | chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery |
title_short | chemalot and chemalot_knime: Command line programs as workflow tools for drug discovery |
title_sort | chemalot and chemalot_knime: command line programs as workflow tools for drug discovery |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5468363/ https://www.ncbi.nlm.nih.gov/pubmed/29086196 http://dx.doi.org/10.1186/s13321-017-0228-9 |
work_keys_str_mv | AT leemanling chemalotandchemalotknimecommandlineprogramsasworkflowtoolsfordrugdiscovery AT aliagasignacio chemalotandchemalotknimecommandlineprogramsasworkflowtoolsfordrugdiscovery AT fengjianwena chemalotandchemalotknimecommandlineprogramsasworkflowtoolsfordrugdiscovery AT gabrielthomas chemalotandchemalotknimecommandlineprogramsasworkflowtoolsfordrugdiscovery AT odonnelltj chemalotandchemalotknimecommandlineprogramsasworkflowtoolsfordrugdiscovery AT sellersbenjamind chemalotandchemalotknimecommandlineprogramsasworkflowtoolsfordrugdiscovery AT wiswedelbernd chemalotandchemalotknimecommandlineprogramsasworkflowtoolsfordrugdiscovery AT gobbialberto chemalotandchemalotknimecommandlineprogramsasworkflowtoolsfordrugdiscovery |