Evidence map›Paper›PMID 36926635›Full record

ArticleElectronic structure (Bristol, England)2023

The Electronic Structure of Genome Editors from the First Principles.

Łukasz Nierzwicki, Mohd Ahsan, Giulia Palermo

Abstract read
In one paragraph

Article in Electronic structure (Bristol, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Machines on Genes through the Computational Microscope.Journal of chemical theory and computation · 2023
    Review
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.

Łukasz NierzwickiDepartment of Bioengineering, University of California Riverside, 900 University Avenue, Riverside, CA 52512, United States.
Mohd AhsanDepartment of Bioengineering, University of California Riverside, 900 University Avenue, Riverside, CA 52512, United States.
Giulia PalermoDepartment of Bioengineering, University of California Riverside, 900 University Avenue, Riverside, CA 52512, 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

Genome editing based on the CRISPR-Cas9 system has paved new avenues for medicine, pharmaceutics, biotechnology, and beyond. This article reports the role of first-principles (ab-initio) molecular dynamics (MD) in the CRISPR-Cas9 revolution, achieving a profound understanding of the enzymatic function and offering valuable insights for enzyme engineering. We introduce the methodologies and explain the use of ab-initio MD simulations to characterize the two-metal dependent mechanism of DNA cleavage in the RuvC domain of the Cas9 enzyme, and how a second catalytic domain, HNH, cleaves the target DNA with the aid of a single metal ion. A detailed description of how ab-initio MD is combined with free-energy methods - i.e., thermodynamic integration and metadynamics - to break and form chemical bonds is given, explaining the use of these methods to determine the chemical landscape and establish the catalytic mechanism in CRISPR-Cas9. The critical role of classical methods is also discussed, explaining theory and application of constant pH MD simulations, used to accurately predict the catalytic residues' protonation states. Overall, first-principles methods are shown to unravel the electronic structure of the Cas9 enzyme, providing valuable insights that can serve for the design of genome editing tools with improved catalytic efficiency or controllable activity.

Identifiers

PMID36926635
PMCPMC10016068

What OpenQuestion holds

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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.