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Multiscale biomolecular simulations in the exascale era.
Carrasco-Busturia, David; Ippoliti, Emiliano; Meloni, Simone; Rothlisberger, Ursula; Olsen, Jógvan Magnus Haugaard.
Afiliación
  • Carrasco-Busturia D; DTU Chemistry, Technical University of Denmark (DTU), Kongens Lyngby, DK-2800, Denmark. Electronic address: https://twitter.com/@DavidCdeB.
  • Ippoliti E; Computational Biomedicine, Institute of Advanced Simulations IAS-5/Institute for Neuroscience and Medicine INM-9, Forschungszentrum Jülich GmbH, Jülich, DE-52428, Germany.
  • Meloni S; Dipartimento di Scienze Chimiche, Farmaceutiche ed Agrarie (DOCPAS), Università degli Studi di Ferrara (Unife), Ferrara, I-44121, Italy. Electronic address: https://twitter.com/@smeloni99.
  • Rothlisberger U; Laboratory of Computational Chemistry and Biochemistry, Institute of Chemical Sciences and Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, CH-1015, Switzerland. Electronic address: https://twitter.com/@lcbc_epfl.
  • Olsen JMH; DTU Chemistry, Technical University of Denmark (DTU), Kongens Lyngby, DK-2800, Denmark. Electronic address: jmho@kemi.dtu.dk.
Curr Opin Struct Biol ; 86: 102821, 2024 06.
Article en En | MEDLINE | ID: mdl-38688076
ABSTRACT
The complexity of biological systems and processes, spanning molecular to macroscopic scales, necessitates the use of multiscale simulations to get a comprehensive understanding. Quantum mechanics/molecular mechanics (QM/MM) molecular dynamics (MD) simulations are crucial for capturing processes beyond the reach of classical MD simulations. The advent of exascale computing offers unprecedented opportunities for scientific exploration, not least within life sciences, where simulations are essential to unravel intricate molecular mechanisms underlying biological processes. However, leveraging the immense computational power of exascale computing requires innovative algorithms and software designs. In this context, we discuss the current status and future prospects of multiscale biomolecular simulations on exascale supercomputers with a focus on QM/MM MD. We highlight our own efforts in developing a versatile and high-performance multiscale simulation framework with the aim of efficient utilization of state-of-the-art supercomputers. We showcase its application in uncovering complex biological mechanisms and its potential for leveraging exascale computing.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Simulación de Dinámica Molecular Idioma: En Revista: Curr Opin Struct Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Simulación de Dinámica Molecular Idioma: En Revista: Curr Opin Struct Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article