Journal
JOURNAL OF CHEMICAL INFORMATION AND MODELING
Volume 59, Issue 9, Pages 3879-3888Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.jcim.9b00416
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Funding
- PCI system [hp150270, hp160207, hp170254, hp180201, hp180274, hp190181]
- MEXT [26119006, 19H05645, 19K12229]
- Center of innovation Program from Japan Science and Technology Agency, JST
- Grants-in-Aid for Scientific Research [19H05645, 19K12229] Funding Source: KAKEN
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Molecular recognition underpins all specific protein-ligand interactions and is essential for biomolecular functions. The prediction of canonical binding poses and distinguishing binders from nonbinders are much sought after goals. Here, we apply the generalized replica exchange with solute tempering method, gREST, combined with a flat-bottom potential to evaluate binder and nonbinder interactions with a T4 lysozyme Leu99Ala mutant. The buried hydrophobic cavity and possibility of coupled conformational changes in this protein make binding predictions difficult. The present gREST simulations, enabling enhanced flexibilities of the ligand and protein residues near the binding site, sample bindings in multiple poses, and correct portrayal of X-ray structures. The free-energy profiles of binders (benzene, ethylbenzene, and n-hexylbenzene) are distinct from those of nonbinders (phenol and benzaldehyde). Bindings of the two larger molecules seem to be associated with a structural change toward an excited conformation of the protein, which agrees with experimental findings. The protocol is generally applicable to various proteins having buried cavities with limited access for ligands with different shapes, sizes, and chemical properties.
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