Evidence map›Paper›PMID 33884260›Full record

ArticleFrontiers in molecular biosciences2021

Molecular Dynamics to Predict Cryo-EM: Capturing Transitions and Short-Lived Conformational States of Biomolecules.

Łukasz Nierzwicki, Giulia Palermo

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
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  3. Electronic Polarizability Tunes the Function of the Human Bestrophin 1 ClJournal of chemical theory and computation · 2025
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  5. Electronic Polarizability Tunes the Function of the Human Bestrophin 1 ClbioRxiv : the preprint server for biology · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Łukasz NierzwickiDepartment of Bioengineering, University of California, Riverside, CA, United States.
Giulia PalermoDepartment of Bioengineering, University of California, Riverside, CA, United States.

Funding

Investigating the metal-dependent function, allostery and inhibition of CRISPR-Cas9R01GM141329 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI PALERMO, GIULIA · 2021 to 2025
$1.7M
NIGMS NIH HHS R01 GM141329
6 · The paper itself

Abstract

Single-particle cryogenic electron microscopy (cryo-EM) has revolutionized the field of the structural biology, providing an access to the atomic resolution structures of large biomolecular complexes in their near-native environment. Today's cryo-EM maps can frequently reach the atomic-level resolution, while often containing a range of resolutions, with conformationally variable regions obtained at 6 Å or worse. Low resolution density maps obtained for protein flexible domains, as well as the ensemble of coexisting conformational states arising from cryo-EM, poses new challenges and opportunities for Molecular Dynamics (MD) simulations. With the ability to describe the biomolecular dynamics at the atomic level, MD can extend the capabilities of cryo-EM, capturing the conformational variability and predicting biologically relevant short-lived conformational states. Here, we report about the state-of-the-art MD procedures that are currently used to refine, reconstruct and interpret cryo-EM maps. We show the capability of MD to predict short-lived conformational states, finding remarkable confirmation by cryo-EM structures subsequently solved. This has been the case of the CRISPR-Cas9 genome editing machinery, whose catalytically active structure has been predicted through both long-time scale MD and enhanced sampling techniques 2 years earlier than cryo-EM. In summary, this contribution remarks the ability of MD to complement cryo-EM, describing conformational landscapes and relating structural transitions to function, ultimately discerning relevant short-lived conformational states and providing mechanistic knowledge of biological function.

Indexed as

CRISPR-Cas9cryo-EMenhanced samplingmolecular dynamicsstructure prediction

Identifiers

PMID33884260
PMCPMC8053777

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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.