Literature DB >> 32786895

Exploring the Conformational Landscape of Bioactive Small Molecules.

Sanja Zivanovic1, Francesco Colizzi1, David Moreno1, Adam Hospital1, Robert Soliva2, Modesto Orozco1,3.   

Abstract

By using a combination of classical Hamiltonian replica exchange with high-level quantum mechanical calculations on more than one hundred drug-like molecules, we explored here the energy cost associated with binding of drug-like molecules to target macromolecules. We found that, in general, the drug-like molecules present bound to proteins in the Protein Data Bank (PDB) can access easily the bioactive conformation and in fact for 73% of the studied molecules the "bioactive" conformation is within 3kBT from the most-stable conformation in solution as determined by DFT/SCRF calculations. Cases with large differences between the most-stable and the bioactive conformations appear in ligands recognized by ionic contacts, or very large structures establishing many favorable interactions with the protein. There are also a few cases where we observed a non-negligible uncertainty related to the experimental structure deposited in PDB. Remarkably, the rough automatic force field used here provides reasonable estimates of the conformational ensemble of drugs in solution. The outlined protocol can be used to better estimate the cost of adopting the bioactive conformation.

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Year:  2020        PMID: 32786895     DOI: 10.1021/acs.jctc.0c00304

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


  1 in total

1.  AB-DB: Force-Field parameters, MD trajectories, QM-based data, and Descriptors of Antimicrobials.

Authors:  Silvia Gervasoni; Giuliano Malloci; Andrea Bosin; Attilio V Vargiu; Helen I Zgurskaya; Paolo Ruggerone
Journal:  Sci Data       Date:  2022-04-01       Impact factor: 6.444

  1 in total

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