Evidence map›Paper›PMID 33966119›Full record

ArticleJournal of molecular modeling2021

Evaluating the covalent binding of carbapenems on BlaC using noncovalent interactions.

Lu Sun, Hongjun Fan, Shijun Zhong

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 52% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Lu SunSchool of Bioengineering, Dalian University of Technology, Dalian, Liaoning, 116024, People's Republic of China.
Hongjun FanThe State Key Lab of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics (iCheM), Chinese Academy of Sciences, Dalian, Liaoning, 116023, People's Republic of China.
Shijun ZhongSchool of Bioengineering, Dalian University of Technology, Dalian, Liaoning, 116024, People's Republic of China. sjzhong@dlut.edu.cn.ORCID http://orcid.org/0000-0002-4213-2808
Dalian University of Technology · CNDalian Institute of Chemical Physics · CN

Funding

Fundamental Research Funds for the Central Universities DUT19LAB21
6 · The paper itself

Abstract

Carbapenems, as irreversible covalent binders and slow substrates to the class A β-lactamase (BlaC) of Mycobacterium tuberculosis, can inhibit BlaC to hydrolyze the β-lactam drugs which are used to control tuberculosis. Their binding on BlaC involves covalent bonding and noncovalent interaction. We introduce a hypothesis that the noncovalent interactions dominate the difference of binding free energies for covalent ligands based on the assumption that their covalent bonding energies are the same. MM/GBSA binding free energies calculated from the noncovalent interactions provided a threshold with respect to the experimental kinetic data, to select slow carbapenem substrates which were either constructed using the structural units of experimentally identified carbapenems or obtained from the similarity search over the ZINC15 database. Combining molecular docking with consensus scoring and molecular dynamics simulation with MM/GBSA binding free energy calculations, a computational protocol was developed from which several new tight-binding carbapenems were theoretically identified.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationBacterial Proteinsbeta-LactamasesCarbapenemsDatabases, ProteinDrug EvaluationMycobacterium tuberculosisBacterial Proteinsbeta-LactamasesCarbapenemsBinding free energyClass A β-lactamase (BlaC)Consensus scoreCovalent carbapenem inhibitorMolecular dynamics simulation

Identifiers

PMID33966119
OpenAlexW3128542834

What OpenQuestion holds

Textmetadata
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.