Evidence map›Paper›PMID 35935573›Full record

ArticleWiley interdisciplinary reviews. Computational molecular science2022

Pre-exascale HPC approaches for molecular dynamics simulations. Covid-19 research: A use case.

Miłosz Wieczór, Vito Genna, Juan Aranda, Rosa M Badia, Josep Lluís Gelpí, Vytautas Gapsys, Bert L de Groot, Erik Lindahl, Martí Municoy, Adam Hospital and 1 more

Abstract read
In one paragraph

Article in Wiley interdisciplinary reviews. Computational molecular science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Embracing exascale computing in nucleic acid simulations.Current opinion in structural biology · 2024
    Review
  6. Article
  7. Article
  8. Review
  9. Pre-exascale HPC approaches for molecular dynamics simulations. Covid-19 research: A use case.Wiley interdisciplinary reviews. Computational molecular science · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Miłosz WieczórInstitute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology Barcelona Spain.
Vito GennaInstitute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology Barcelona Spain.
Juan ArandaInstitute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology Barcelona Spain.
Rosa M BadiaBarcelona Supercomputing Center Barcelona Spain.ORCID https://orcid.org/0000-0003-2941-5499
Josep Lluís GelpíBarcelona Supercomputing Center Barcelona Spain.
Vytautas GapsysMax Planck Institute for Multidisciplinary Sciences Computational Biomolecular Dynamics Group Goettingen Germany.ORCID https://orcid.org/0000-0002-6761-7780
Bert L de GrootMax Planck Institute for Multidisciplinary Sciences Computational Biomolecular Dynamics Group Goettingen Germany.
Erik LindahlDepartment of Applied Physics Swedish e-Science Research Center, KTH Royal Institute of Technology Stockholm Sweden.
Martí MunicoyNostrum Biodiscovery Barcelona Spain.ORCID https://orcid.org/0000-0003-4399-153X
Adam HospitalInstitute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology Barcelona Spain.
Modesto OrozcoInstitute for Research in Biomedicine (IRB Barcelona). The Barcelona Institute of Science and Technology Barcelona Spain.ORCID https://orcid.org/0000-0002-8608-3278

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BioExcelCOVID19exascalemolecular dynamics

Identifiers

PMID35935573
PMCPMC9347456

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.