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MassCCS: A High-Performance Collision Cross-Section Software for Large Macromolecular Assemblies.
Cajahuaringa, Samuel; Caetano, Daniel L Z; Zanotto, Leandro N; Araujo, Guido; Skaf, Munir S.
Afiliação
  • Cajahuaringa S; Institute of Computing, University of Campinas, Campinas, São Paulo 13083-852, Brazil.
  • Caetano DLZ; Center for Computing in Engineering & Sciences, University of Campinas, Campinas, São Paulo 13083-861, Brazil.
  • Zanotto LN; Center for Computing in Engineering & Sciences, University of Campinas, Campinas, São Paulo 13083-861, Brazil.
  • Araujo G; Institute of Chemistry, University of Campinas, Campinas, São Paulo 13083-970, Brazil.
  • Skaf MS; Institute of Computing, University of Campinas, Campinas, São Paulo 13083-852, Brazil.
J Chem Inf Model ; 63(11): 3557-3566, 2023 06 12.
Article em En | MEDLINE | ID: mdl-37184925
ABSTRACT
Ion mobility mass spectrometry (IM-MS) techniques have become highly valued as a tool for structural characterization of biomolecular systems since they yield accurate measurements of the rotationally averaged collision cross-section (CCS) against a buffer gas. Despite its enormous potential, IM-MS data interpretation is often challenging due to the conformational isomerism of metabolites, lipids, proteins, and other biomolecules in the gas phase. Therefore, reliable and fast CCS calculations are needed to help interpret IM-MS data. In this work, we present MassCCS, a parallelized open-source code for computing CCS of molecules ranging from small organic compounds to massive protein assemblies at the trajectory method level of description using atomic and molecular buffer gas particles. The performance of the code is comparable to other available software for small molecules and proteins but is significantly faster for larger macromolecular assemblies. We performed extensive tests regarding accuracy, performance, and scalability with system size and number of CPU cores. MassCCS has proven highly accurate and efficient, with execution times under a few minutes, even for large (84.87 MDa) virus capsid assemblies with very modest computational resources. MassCCS is freely available at https//github.com/cces-cepid/massccs.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Proteínas Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Proteínas Idioma: En Ano de publicação: 2023 Tipo de documento: Article