4.7 Article

Exploring the Conformational Landscape of Bioactive Small Molecules

期刊

JOURNAL OF CHEMICAL THEORY AND COMPUTATION
卷 16, 期 10, 页码 6575-6585

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jctc.0c00304

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资金

  1. Spanish Ministry of Science [RTI2018-096704-B-100]
  2. Catalan SGR
  3. Instituto Nacional de Bioinformatica
  4. European Union's Horizon 2020 research and innovation program [BioExcel-2 project], Biomolecular and Bioinformatics Resources Platform [ISCIII PT 13/0001/0030]
  5. Fondo Europeo de Desarrollo Regional (FEDER)
  6. MINECO Severo Ochoa Award of Excellence (Government of Spain)
  7. CDTI (Neotec grant) [EXP 00094141/SNEO-20161127]
  8. Fundacion Botin (Mind the Gap Program)
  9. Horizon 2020 research and innovation program of the European Union under the Marie Sklodowska-Curie grant [752415]
  10. Marie Curie Actions (MSCA) [752415] Funding Source: Marie Curie Actions (MSCA)

向作者/读者索取更多资源

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 3k(B)T 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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