Literature DB >> 26588768

Free Energy Calculations Reveal the Origin of Binding Preference for Aminoadamantane Blockers of Influenza A/M2TM Pore.

Paraskevi Gkeka1, Stelios Eleftheratos2, Antonios Kolocouris2, Zoe Cournia1.   

Abstract

Aminoadamantane derivatives, such as amantadine and rimantadine, have been reported to block the M2 membrane protein of influenza A virus (A/M2TM), but their use has been discontinued due to reported resistance in humans. Understanding the mechanism of action of amantadine derivatives could assist the development of novel potent inhibitors that overcome A/M2TM resistance. Here, we use Free Energy Perturbation calculations coupled with Molecular Dynamics simulations (FEP/MD) to rationalize the thermodynamic origin of binding preference of several aminoadamantane derivatives inside the A/M2TM pore. Our results demonstrate that apart from crucial protein-ligand intermolecular interactions, the flexibility of the protein, the water network around the ligand, and the desolvation free energy penalty to transfer the ligand from the aqueous environment to the transmembrane region are key elements for the binding preference of these compounds and thus for lead optimization. The high correlation of the FEP/MD results with available experimental data (R(2) = 0.85) demonstrates that this methodology holds predictive value and can be used to guide the optimization of drug candidates binding to membrane proteins.

Entities:  

Year:  2013        PMID: 26588768     DOI: 10.1021/ct300899n

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  20 in total

Review 1.  Focusing on shared subpockets - new developments in fragment-based drug discovery.

Authors:  Eman M M Abdelraheem; Carlos J Camacho; Alexander Dömling
Journal:  Expert Opin Drug Discov       Date:  2015-08-21       Impact factor: 6.098

2.  Affinity of Rimantadine Enantiomers against Influenza A/M2 Protein Revisited.

Authors:  Antonios Drakopoulos; Christina Tzitzoglaki; Chulong Ma; Kathrin Freudenberger; Anja Hoffmann; Yanmei Hu; Günter Gauglitz; Michaela Schmidtke; Jun Wang; Antonios Kolocouris
Journal:  ACS Med Chem Lett       Date:  2017-01-27       Impact factor: 4.345

3.  The L46P mutant confers a novel allosteric mechanism of resistance toward the influenza A virus M2 S31N proton channel blockers.

Authors:  Rami Musharrafieh; Panagiotis I Lagarias; Chunlong Ma; Gene S Tan; Antonios Kolocouris; Jun Wang
Journal:  Mol Pharmacol       Date:  2019-06-07       Impact factor: 4.436

4.  On the role of water density fluctuations in the inhibition of a proton channel.

Authors:  Eleonora Gianti; Lucie Delemotte; Michael L Klein; Vincenzo Carnevale
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-12       Impact factor: 11.205

5.  Using physics-based pose predictions and free energy perturbation calculations to predict binding poses and relative binding affinities for FXR ligands in the D3R Grand Challenge 2.

Authors:  Christina Athanasiou; Sofia Vasilakaki; Dimitris Dellis; Zoe Cournia
Journal:  J Comput Aided Mol Des       Date:  2017-11-08       Impact factor: 3.686

6.  Hydrogen-bonded water molecules in the M2 channel of the influenza A virus guide the binding preferences of ammonium-based inhibitors.

Authors:  Eleonora Gianti; Vincenzo Carnevale; William F DeGrado; Michael L Klein; Giacomo Fiorin
Journal:  J Phys Chem B       Date:  2014-11-11       Impact factor: 2.991

7.  Structure-based predictions of activity cliffs.

Authors:  Jarmila Husby; Giovanni Bottegoni; Irina Kufareva; Ruben Abagyan; Andrea Cavalli
Journal:  J Chem Inf Model       Date:  2015-05-11       Impact factor: 4.956

8.  Choosing the Optimal Rigid Receptor for Docking and Scoring in the CSAR 2013/2014 Experiment.

Authors:  Matthew P Baumgartner; Carlos J Camacho
Journal:  J Chem Inf Model       Date:  2015-08-07       Impact factor: 4.956

Review 9.  Thermodynamics and Kinetics of Drug-Target Binding by Molecular Simulation.

Authors:  Sergio Decherchi; Andrea Cavalli
Journal:  Chem Rev       Date:  2020-10-02       Impact factor: 60.622

10.  Molecular Mechanism for Attractant Signaling to DHMA by E. coli Tsr.

Authors:  Asuka A Orr; Jingyun Yang; Nitesh Sule; Ravi Chawla; Kenneth G Hull; Mingzhao Zhu; Daniel Romo; Pushkar P Lele; Arul Jayaraman; Michael D Manson; Phanourios Tamamis
Journal:  Biophys J       Date:  2019-11-27       Impact factor: 4.033

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