Evidence map›Paper›PMID 33243857›Full record

ReviewScience (New York, N.Y.)2020

Protein storytelling through physics.

Emiliano Brini, Carlos Simmerling, Ken Dill

Abstract readReview
In one paragraph

Review in Science (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. The protein universe in 3D.Nature chemical biology · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Accelerating Kinetics with Time-Reversal Path Sampling.Molecules (Basel, Switzerland) · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Dissecting the stability determinants of a challenging de novo protein fold using massively parallel design and experimentation.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Article
  16. Article
  17. Computational Studies of Lipid Droplets.The journal of physical chemistry. B · 2022
    Review
  18. Article
  19. 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

3 authors.

Emiliano BriniLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA.ORCID 0000-0002-1314-8405
Carlos SimmerlingLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA.ORCID 0000-0002-7252-4730
Ken DillLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, USA. dill@laufercenter.org.ORCID 0000-0002-2390-2002

Funding

Solvation modeling for next-gen biomolecule simulationsRM1GM135136 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI COUTSIAS, EVANGELOS A., DILL, KEN A · 2020 to 2024
$6.0M
New Solvent Models, Sampling Methods and Maintenance of Amber SoftwareR01GM107104 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI SIMMERLING, CARLOS · 2013 to 2020
$2.4M
MELD: accelerating MD modeling of proteins using Bayesian inferenceR01GM125813 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI DILL, KEN A · 2018 to 2021
$1.3M
NIGMS NIH HHS R01 GM107104NIGMS NIH HHS R01 GM125813NIGMS NIH HHS RM1 GM135136
6 · The paper itself

Abstract

Every protein has a story-how it folds, what it binds, its biological actions, and how it misbehaves in aging or disease. Stories are often inferred from a protein's shape (i.e., its structure). But increasingly, stories are told using computational molecular physics (CMP). CMP is rooted in the principled physics of driving forces and reveals granular detail of conformational populations in space and time. Recent advances are accessing longer time scales, larger actions, and blind testing, enabling more of biology's stories to be told in the language of atomistic physics.

Indexed as

Computer SimulationModels, MolecularProteinsAngiotensin-Converting Enzyme 2COVID-19HumansProtein DomainsSpike Glycoprotein, CoronavirusAngiotensin-Converting Enzyme 2ProteinsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID33243857
PMCPMC7945008

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.