Evidence map›Paper›PMID 31065347›Full record

ReviewInterface focus2019

From quantum to subcellular scales: multi-scale simulation approaches and the SIRAH force field.

Matías R Machado, Ari Zeida, Leonardo Darré, Sergio Pantano

Abstract readReview
In one paragraph

Review in Interface focus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Computational methods for exploring protein conformations.Biochemical Society transactions · 2020
    Review
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

4 authors.

Matías R MachadoInstitut Pasteur de Montevideo, Group of Biomolecular Simulations, Mataojo 2020, CP 11400 Montevideo, Uruguay.ORCID 0000-0002-9971-4710
Ari ZeidaDepartamento de Bioquímica and Center for Free Radical and Biomedical Research, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
Leonardo DarréInstitut Pasteur de Montevideo, Group of Biomolecular Simulations, Mataojo 2020, CP 11400 Montevideo, Uruguay.ORCID 0000-0001-5280-8579
Sergio PantanoInstitut Pasteur de Montevideo, Group of Biomolecular Simulations, Mataojo 2020, CP 11400 Montevideo, Uruguay.ORCID 0000-0001-6435-4543

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern molecular and cellular biology profits from astonishing resolution structural methods, currently even reaching the whole cell level. This is encompassed by the development of computational methods providing a deep view into the structure and dynamics of molecular processes happening at very different scales in time and space. Linking such scales is of paramount importance when aiming at far-reaching biological questions. Computational methods at the interface between classical and coarse-grained resolutions are gaining momentum with several research groups dedicating important efforts to their development and tuning. An overview of such methods is addressed herein, with special emphasis on the SIRAH force field for coarse-grained and multi-scale simulations. Moreover, we provide proof of concept calculations on the implementation of a multi-scale simulation scheme including quantum calculations on a classical fine-grained/coarse-grained representation of double-stranded DNA. This opens the possibility to include the effect of large conformational fluctuations in chromatin segments on, for instance, the reactivity of particular base pairs within the same simulation framework.

Indexed as

coarse-grainhybridmolecular dynamicsQM/MM/CGSIRAH

Identifiers

PMID31065347
PMCPMC6501346

What OpenQuestion 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 OpenQuestion graph.