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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.
Afiliação
  • Lee ML; Discovery Chemistry, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA. lee.man-ling@gene.com.
  • Aliagas I; Discovery Chemistry, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
  • Feng JA; Denali Therapeutics, 151 Oyster Point Blvd, South San Francisco, CA, 94080, USA.
  • Gabriel T; KNIME.com AG, Technoparkstrasse 1, 8005, Zurich, Switzerland.
  • O'Donnell TJ; gNova Scientific Software, San Diego, CA, 92103, USA.
  • Sellers BD; Discovery Chemistry, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA.
  • Wiswedel B; KNIME.com AG, Technoparkstrasse 1, 8005, Zurich, Switzerland.
  • Gobbi A; Discovery Chemistry, Genentech Inc., 1 DNA Way, South San Francisco, CA, 94080, USA. gobbi.alberto@gene.com.
J Cheminform ; 9(1): 38, 2017 Jun 12.
Article em En | MEDLINE | ID: mdl-29086196
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. Graphical abstract Example KNIME workflow with chemalot nodes and the corresponding command line pipe.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Cheminform Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Cheminform Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos