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De Novo Prediction of Binders and Nonbinders for T4 Lysozyme by gREST Simulations
- Source :
- Journal of chemical information and modeling. 59(9)
- Publication Year :
- 2019
-
Abstract
- 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
- Subjects :
- 010304 chemical physics
Protein Conformation
General Chemical Engineering
General Chemistry
Computational biology
Library and Information Sciences
Molecular Dynamics Simulation
01 natural sciences
0104 chemical sciences
Computer Science Applications
010404 medicinal & biomolecular chemistry
chemistry.chemical_compound
Molecular recognition
chemistry
0103 physical sciences
Benzene Derivatives
Bacteriophage T4
Thermodynamics
Muramidase
Lysozyme
Protein Binding
Subjects
Details
- ISSN :
- 1549960X
- Volume :
- 59
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Journal of chemical information and modeling
- Accession number :
- edsair.doi.dedup.....46ffcee4750fcb02cdb67a6e88fb29f9