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Evaluating the covalent binding of carbapenems on BlaC using noncovalent interactions.
Sun, Lu; Fan, Hongjun; Zhong, Shijun.
Affiliation
  • Sun L; School of Bioengineering, Dalian University of Technology, Dalian, Liaoning, 116024, People's Republic of China.
  • Fan H; The 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.
  • Zhong S; School of Bioengineering, Dalian University of Technology, Dalian, Liaoning, 116024, People's Republic of China. sjzhong@dlut.edu.cn.
J Mol Model ; 27(6): 161, 2021 May 08.
Article in En | MEDLINE | ID: mdl-33966119
ABSTRACT
Carbapenems, as irreversible covalent binders and slow substrates to the class A ß-lactamase (BlaC) of Mycobacterium tuberculosis, can inhibit BlaC to hydrolyze the ß-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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacterial Proteins / Beta-Lactamases / Carbapenems / Molecular Dynamics Simulation / Molecular Docking Simulation / Mycobacterium tuberculosis Type of study: Prognostic_studies Language: En Journal: J Mol Model Journal subject: BIOLOGIA MOLECULAR Year: 2021 Document type: Article Publication country: ALEMANHA / ALEMANIA / DE / DEUSTCHLAND / GERMANY

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bacterial Proteins / Beta-Lactamases / Carbapenems / Molecular Dynamics Simulation / Molecular Docking Simulation / Mycobacterium tuberculosis Type of study: Prognostic_studies Language: En Journal: J Mol Model Journal subject: BIOLOGIA MOLECULAR Year: 2021 Document type: Article Publication country: ALEMANHA / ALEMANIA / DE / DEUSTCHLAND / GERMANY