Evidence map›Paper›PMID 38423522›Full record

ArticleJournal of chemical information and modeling2024

On Inactivation of the Coronavirus Main Protease.

Hong Ha Nguyen, Jim Tufts, David D L Minh

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Hong Ha NguyenDepartment of Chemistry, Illinois Institute of Technology, Chicago, Illinois 60616, United States.ORCID 0000-0001-5426-7032
Jim TuftsDepartment of Chemistry, Illinois Institute of Technology, Chicago, Illinois 60616, United States.
David D L MinhDepartment of Chemistry, Illinois Institute of Technology, Chicago, Illinois 60616, United States.ORCID 0000-0002-4802-2618

Funding

Entropy for End-Point and FFT-Based Binding Free Energy CalculationsR01GM127712 · NIGMS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI MINH, DAVID DO LE · 2018 to 2021
$1.3M
NIGMS NIH HHS R01 GM127712
6 · The paper itself

Abstract

A deeper understanding of the inactive conformations of the coronavirus main protease (MPro) could inform the design of allosteric drugs. Based on extensive molecular dynamics simulations, we built a Markov State Model to investigate structural changes that can inactivate the SARS-CoV-2 MPro. In a subset of structures, one subunit of the homodimer assumes an inactive conformation that resembles an inactive crystal structure. However, contradicting the widely held half-of-sites activity hypothesis, the most populated enzyme structures have two active subunits. We then used transition path theory (TPT) and the Jensen-Shannon Divergence (JSD) to pinpoint residues involved in the inactivation process. A π stack between Phe140 and His163 is a key feature that can distinguish active and inactive conformations of MPro. Each subunit has unique inactive conformations stabilized by π stacking interactions involving residues Phe140, Tyr118, His163, and His172, a hydrogen bonding network centered around His163 and His172, and a modified network of interactions in the dimer interface. The importance of these residues in maintaining an active structure explains the sensitivity of enzymatic activity to site-directed mutagenesis.

Indexed as

Molecular Dynamics SimulationSARS-CoV-2Molecular Docking SimulationPeptide HydrolasesProtease InhibitorsPeptide HydrolasesProtease Inhibitors

Identifiers

PMID38423522
PMCPMC10936523

What OpenQuestion holds

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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.