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Converging PMF Calculations of Antibiotic Permeation across an Outer Membrane Porin with Subkilocalorie per Mole Accuracy.
Lapierre, Jeremy; Hub, Jochen S.
Affiliation
  • Lapierre J; Theoretical Physics and Center for Biophysics, Saarland University, Saarbrücken 66123, Germany.
  • Hub JS; Theoretical Physics and Center for Biophysics, Saarland University, Saarbrücken 66123, Germany.
J Chem Inf Model ; 63(16): 5319-5330, 2023 08 28.
Article in En | MEDLINE | ID: mdl-37560945
ABSTRACT
The emergence of multidrug-resistant pathogens led to a critical need for new antibiotics. A key property of effective antibiotics against Gram-negative bacteria is their ability to permeate through the bacterial outer membrane via transmembrane porin proteins. Molecular dynamics (MD) simulations are, in principle, capable of modeling antibiotic permeation across outer membrane porins (OMPs). However, owing to sampling problems, it has remained challenging to obtain converged potentials of mean force (PMFs) for antibiotic permeation across OMPs. Here, we investigated the convergence of PMFs along a single collective variable aimed at quantifying the permeation of the antibiotic fosmidomycin across the OprO porin. We compared standard umbrella sampling (US) with three advanced flavors of the US technique (i) Hamiltonian replica exchange with solute tempering in combination with US, (ii) simulated tempering-enhanced US, and (iii) replica-exchange US. To quantify the PMF convergence and to reveal hysteresis problems, we computed several independent sets of US simulations starting from pulling simulations in the outward and inward permeation directions. We find that replica-exchange US in combination with well-chosen restraints is highly successful for obtaining converged PMFs of fosmidomycin permeation through OprO, reaching PMFs converged to subkilocalorie per mole accuracy.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Fosfomycin / Anti-Bacterial Agents Type of study: Prognostic_studies Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2023 Document type: Article Affiliation country: Alemania

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Fosfomycin / Anti-Bacterial Agents Type of study: Prognostic_studies Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2023 Document type: Article Affiliation country: Alemania