This title appears in the Scientific Report :
2019
Please use the identifier:
http://hdl.handle.net/2128/21824 in citations.
Please use the identifier: http://dx.doi.org/10.1021/acs.jctc.9b00040 in citations.
Open-Boundary Molecular Mechanics/Coarse-Grained Framework for Simulations of Low-Resolution G-Protein-Coupled Receptor–Ligand Complexes
Open-Boundary Molecular Mechanics/Coarse-Grained Framework for Simulations of Low-Resolution G-Protein-Coupled Receptor–Ligand Complexes
G-protein-coupled receptors (GPCRs) constitute as much as 30% of the overall proteins targeted by FDA-approved drugs. However, paucity of structural experimental information and low sequence identity between members of the family impair the reliability of traditional docking approaches and atomistic...
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Personal Name(s): | Tarenzi, Thomas |
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Calandrini, Vania (Corresponding author) / Potestio, Raffaello (Corresponding author) / Carloni, Paolo | |
Contributing Institute: |
Computational Biomedicine; INM-9 Computational Biomedicine; IAS-5 |
Published in: | Journal of chemical theory and computation, 15 (2019) 3, S. 2101–2109 |
Imprint: |
Washington, DC
2019
|
DOI: |
10.1021/acs.jctc.9b00040 |
PubMed ID: |
30763087 |
Document Type: |
Journal Article |
Research Program: |
Theory, modelling and simulation |
Link: |
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Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1021/acs.jctc.9b00040 in citations.
G-protein-coupled receptors (GPCRs) constitute as much as 30% of the overall proteins targeted by FDA-approved drugs. However, paucity of structural experimental information and low sequence identity between members of the family impair the reliability of traditional docking approaches and atomistic molecular dynamics simulations for in silico pharmacological applications. We present here a dual-resolution approach tailored for such low-resolution models. It couples a hybrid molecular mechanics/coarse-grained (MM/CG) scheme, previously developed by us for GPCR–ligand complexes, with a Hamiltonian-based adaptive resolution scheme (H-AdResS) for the solvent. This dual-resolution approach removes potentially inaccurate atomistic details from the model while building a rigorous statistical ensemble—the grand canonical one—in the high-resolution region. We validate the method on a well-studied GPCR–ligand complex, for which the 3D structure is known, against atomistic simulations. This implementation paves the way for future accurate in silico studies of low-resolution ligand/GPCRs models. |