Evidence map›Paper›PMID 26773233›Full record

ReviewCurrent opinion in structural biology2016

Advances in free-energy-based simulations of protein folding and ligand binding.

Alberto Perez, Joseph A Morrone, Carlos Simmerling, Ken A Dill

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Determinants of Protein Folding Pathways: Lessons from Metamorphic Proteins.International journal of molecular sciences · 2026
    Review
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  8. Applications of Molecular Dynamics Simulations in Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  9. Antispasmodic Effect ofMolecules (Basel, Switzerland) · 2023
    Article
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  14. Review
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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.

Alberto PerezLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, United States.
Joseph A MorroneLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, United States.
Carlos SimmerlingLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, United States; Department of Chemistry, Stony Brook University, Stony Brook, NY 11794, United States.
Ken A DillLaufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794, United States; Department of Chemistry, Stony Brook University, Stony Brook, NY 11794, United States; Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794, United States. Electronic address: dill@laufercenter.org.

Funding

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
New Mathematical Methods for Protein Loop ModelingR01GM090205 · NIGMS · UNIVERSITY OF NEW MEXICO · PI COUTSIAS, EVANGELOS A. · 2009 to 2012
$1.3M
NIGMS NIH HHS GM090205NIGMS NIH HHS GM107104NIGMS NIH HHS R01 GM090205NIGMS NIH HHS R01 GM107104
6 · The paper itself

Abstract

Free-energy-based simulations are increasingly providing the narratives about the structures, dynamics and biological mechanisms that constitute the fabric of protein science. Here, we review two recent successes. It is becoming practical: first, to fold small proteins with free-energy methods without knowing substructures and second, to compute ligand-protein binding affinities, not just their binding poses. Over the past 40 years, the timescales that can be simulated by atomistic MD are doubling every 1.3 years--which is faster than Moore's law. Thus, these advances are not simply due to the availability of faster computers. Force fields, solvation models and simulation methodology have kept pace with computing advancements, and are now quite good. At the tip of the spear recently are GPU-based computing, improved fast-solvation methods, continued advances in force fields, and conformational sampling methods that harness external information.

Indexed as

LigandsMolecular Dynamics SimulationProtein FoldingHumansProtein BindingProtein ConformationProteinsLigandsProteins

Identifiers

PMID26773233
PMCPMC4785060

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.