Pre-exascale HPC approaches for molecular dynamics simulations. Covid-19 research: A use case.
Miłosz WieczórVito GennaJuan ArandaRosa M BadiaJosep Lluís GelpíVytautas GapsysBert L de GrootErik LindahlMartí MunicoyAdam HospitalModesto OrozcoPublished in: Wiley interdisciplinary reviews. Computational molecular science (2022)
Exascale computing has been a dream for ages and is close to becoming a reality that will impact how molecular simulations are being performed, as well as the quantity and quality of the information derived for them. We review how the biomolecular simulations field is anticipating these new architectures, making emphasis on recent work from groups in the BioExcel Center of Excellence for High Performance Computing. We exemplified the power of these simulation strategies with the work done by the HPC simulation community to fight Covid-19 pandemics. This article is categorized under:Data Science > Computer Algorithms and ProgrammingData Science > Databases and Expert SystemsMolecular and Statistical Mechanics > Molecular Dynamics and Monte-Carlo Methods.
Keyphrases
- molecular dynamics
- monte carlo
- molecular dynamics simulations
- coronavirus disease
- sars cov
- density functional theory
- public health
- virtual reality
- deep learning
- machine learning
- molecular docking
- big data
- healthcare
- mental health
- electronic health record
- respiratory syndrome coronavirus
- health information
- quality improvement
- artificial intelligence