ArticleJournal of molecular modeling2021
Evaluating the covalent binding of carbapenems on BlaC using noncovalent interactions.
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.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Comparative evaluation of five β-Lactamase inhibitors in combination with β-Lactams against multidrug-resistant Mycobacterium tuberculosis in vitro.BMC infectious diseases · 2025Article
- The fall of the mycobacterial cell wall: interrogating peptidoglycan synthesis for novel anti-TB agents.PeerJ · 2024Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
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.
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Registered trials
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