Evidence map›Paper›PMID 21226976›Full record

ReviewQuarterly reviews of biophysics2011

Biomolecularmodeling and simulation: a field coming of age.

Tamar Schlick, Rosana Collepardo-Guevara, Leif Arthur Halvorsen, Segun Jung, Xia Xiao

Abstract readReview
In one paragraph

Review in Quarterly reviews of biophysics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Multiconfigurational Coarse-Grained Molecular Dynamics.Journal of chemical theory and computation · 2019
    Article
  16. Review
  17. Review
  18. Adventures with RNA graphs.Methods (San Diego, Calif.) · 2018
    Review
  19. FAST UPDATING MULTIPOLE COULOMBIC POTENTIAL CALCULATION.SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics · 2017
    Article
  20. 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

5 authors.

Tamar SchlickDepartment of Chemistry, New York University, 100 Washington Square East, Silver Building, New York, NY 10003, USA. schlick@nyu.edu
Rosana Collepardo-Guevara
Leif Arthur Halvorsen
Segun Jung
Xia Xiao

Funding

Modeling Chromatin Organization and FunctionR01GM055164 · NIGMS · NEW YORK UNIVERSITY · PI SCHLICK, TAMAR · 1998 to 2015
$2.6M
Mechanisms of DNA PolymerasesR01ES012692 · NIEHS · NEW YORK UNIVERSITY · PI SCHLICK, TAMAR · 2005 to 2007
$843k
NIEHS NIH HHS R01 ES012692NIGMS NIH HHS R01 GM055164
6 · The paper itself

Abstract

We assess the progress in biomolecular modeling and simulation, focusing on structure prediction and dynamics, by presenting the field’s history, metrics for its rise in popularity, early expressed expectations, and current significant applications. The increases in computational power combined with improvements in algorithms and force fields have led to considerable success, especially in protein folding, specificity of ligand/biomolecule interactions, and interpretation of complex experimental phenomena (e.g. NMR relaxation, protein-folding kinetics and multiple conformational states) through the generation of structural hypotheses and pathway mechanisms. Although far from a general automated tool, structure prediction is notable for proteins and RNA that preceded the experiment, especially by knowledge-based approaches. Thus, despite early unrealistic expectations and the realization that computer technology alone will not quickly bridge the gap between experimental and theoretical time frames, ongoing improvements to enhance the accuracy and scope of modeling and simulation are propelling the field onto a productive trajectory to become full partner with experiment and a field on its own right.

Indexed as

Models, MolecularMolecular Dynamics SimulationAlgorithmsHumansMolecular BiologyProteinsRNAProteinsRNA

Identifiers

PMID21226976
PMCPMC3700731

What OpenQuestion holds

Textmetadata
LicenceTDM
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.