Evidence map›Paper›PMID 33606945›Full record

ArticleAnnual review of biophysics2021

Biomolecular Modeling and Simulation: A Prospering Multidisciplinary Field.

Tamar Schlick, Stephanie Portillo-Ledesma, Christopher G Myers, Lauren Beljak, Justin Chen, Sami Dakhel, Daniel Darling, Sayak Ghosh, Joseph Hall, Mikaeel Jan and 6 more

Abstract read
In one paragraph

Article in Annual review of biophysics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Stepping Up Enhanced Rate Calculations with EATR-Flooding.Journal of chemical theory and computation · 2026
    Article
  3. Article
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  10. Review
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  13. Article
  14. Journal of applied crystallography · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. In Silico Validation of AI-Assisted Drugs in Healthcare.Methods in molecular biology (Clifton, N.J.) · 2025
    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

16 authors.

Tamar SchlickDepartment of Chemistry, New York University, New York, New York 10003, USA; email: schlick@nyu.edu.
Stephanie Portillo-LedesmaDepartment of Chemistry, New York University, New York, New York 10003, USA; email: schlick@nyu.edu.
Christopher G MyersDepartment of Chemistry, New York University, New York, New York 10003, USA; email: schlick@nyu.edu.
Lauren BeljakCollege of Arts and Science, New York University, New York, New York 10003, USA.
Justin ChenCollege of Arts and Science, New York University, New York, New York 10003, USA.
Sami DakhelCollege of Arts and Science, New York University, New York, New York 10003, USA.
Daniel DarlingCollege of Arts and Science, New York University, New York, New York 10003, USA.
Sayak GhoshCollege of Arts and Science, New York University, New York, New York 10003, USA.
Joseph HallCollege of Arts and Science, New York University, New York, New York 10003, USA.
Mikaeel JanCollege of Arts and Science, New York University, New York, New York 10003, USA.
Emily LiangCollege of Arts and Science, New York University, New York, New York 10003, USA.
Sera SajuCollege of Arts and Science, New York University, New York, New York 10003, USA.
Mackenzie VohrCollege of Arts and Science, New York University, New York, New York 10003, USA.
Chris WuCollege of Arts and Science, New York University, New York, New York 10003, USA.
Yifan XuCollege of Arts and Science, New York University, New York, New York 10003, USA.
Eva XueCollege of Arts and Science, New York University, New York, New York 10003, USA.

Funding

Bridging Disparate Structural/Functional Scales: Multiscale Modeling of the Chromatin Fiber and RNA Tertiary StructuresR35GM122562 · NIGMS · NEW YORK UNIVERSITY · PI Tamar Schlick · 2017 to 2026
$4.6M
NIGMS NIH HHS R35 GM122562
6 · The paper itself

Abstract

We reassess progress in the field of biomolecular modeling and simulation, following up on our perspective published in 2011. By reviewing metrics for the field's productivity and providing examples of success, we underscore the productive phase of the field, whose short-term expectations were overestimated and long-term effects underestimated. Such successes include prediction of structures and mechanisms; generation of new insights into biomolecular activity; and thriving collaborations between modeling and experimentation, including experiments driven by modeling. We also discuss the impact of field exercises and web games on the field's progress. Overall, we note tremendous success by the biomolecular modeling community in utilization of computer power; improvement in force fields; and development and application of new algorithms, notably machine learning and artificial intelligence. The combined advances are enhancing the accuracy andscope of modeling and simulation, establishing an exemplary discipline where experiment and theory or simulations are full partners.

Indexed as

Computer SimulationAlgorithmsartificial intelligencebiomolecular dynamicsbiomolecular modelingbiomolecular simulationcitizen science projectsDNA foldingmachine learningmultiscale modelingprotein foldingRNA foldingstructure prediction

Identifiers

PMID33606945
PMCPMC8105287

What OpenQuestion holds

Textmetadata
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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.