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High performance collision cross section calculation-HPCCS.
Zanotto, Leandro; Heerdt, Gabriel; Souza, Paulo C T; Araujo, Guido; Skaf, Munir S.
Afiliação
  • Zanotto L; Institute of Chemistry and Center for Computational Engineering & Sciences, University of Campinas, Campinas, São Paulo, 13083-852, Brazil.
  • Heerdt G; Institute of Chemistry and Center for Computational Engineering & Sciences, University of Campinas, Campinas, São Paulo, 13083-852, Brazil.
  • Souza PCT; Institute of Chemistry and Center for Computational Engineering & Sciences, University of Campinas, Campinas, São Paulo, 13083-852, Brazil.
  • Araujo G; Faculty of Mathematics and Natural Sciences, University of Groningen, Groningen, 9747, AG, The Netherlands.
  • Skaf MS; Institute of Computing and Center for Computational Engineering & Sciences, University of Campinas, Campinas, São Paulo, 13083-970, Brazil.
J Comput Chem ; 39(21): 1675-1681, 2018 08 05.
Article em En | MEDLINE | ID: mdl-29498071
ABSTRACT
Since the commercial introduction of Ion Mobility coupled with Mass Spectrometry (IM-MS) devices in 2003, a large number of research laboratories have embraced the technique. IM-MS is a fairly rapid experiment used as a molecular separation tool and to obtain structural information. The interpretation of IM-MS data is still challenging and relies heavily on theoretical calculations of the molecule's collision cross section (CCS) against a buffer gas. Here, a new software (HPCCS) is presented, which performs CCS calculations using high perfomance computing techniques. Based on the trajectory method, HPCCS can accurately calculate CCS for a great variety of molecules, ranging from small organic molecules to large protein complexes, using helium or nitrogen as buffer gas with considerable gains in computer time compared to publicly available codes under the same level of theory. HPCCS is available as free software under the Academic Use License at https//github.com/cepid-cces/hpccs. © 2018 Wiley Periodicals, Inc.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article