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Published on: July 19, 2024
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Modelling flexible protein-ligand binding in p38α MAP kinase using the QUBE force field
Joshua T Horton1, Alice E A Allen2, Daniel J Cole1
1School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne NE1 7RU, UK. daniel.cole@ncl.ac.uk.
Summary
The quantum mechanical bespoke (QUBE) force field accurately calculated binding energies for p38α MAP kinase inhibitors. This quantum mechanics-derived force field shows promise for guiding future drug discovery efforts.
Area of Science:
- Computational chemistry
- Molecular modeling
- Drug discovery
Background:
- p38α MAP kinase is a key target in inflammatory diseases.
- Accurate calculation of binding free energies is crucial for drug discovery.
- Developing reliable computational methods for flexible molecules is challenging.
Purpose of the Study:
- To evaluate the quantum mechanical bespoke (QUBE) force field for calculating relative binding free energies.
- To test the QUBE force field's performance with flexible inhibitors of p38α MAP kinase.
- To assess the potential of quantum mechanics-derived force fields in drug discovery.
Main Methods:
- Retrospective calculation of relative binding free energies using the QUBE force field.
- Application to a series of 17 flexible inhibitors of p38α MAP kinase.
- Utilized enhanced sampling techniques to mitigate starting structure dependence.
Main Results:
- The QUBE force field achieved competitive accuracy compared to a widely-used biological force field.
- The calculations demonstrated the QUBE force field's capability with flexible and relatively large molecules.
- Enhanced sampling was necessary for reliable results with these complex systems.
Conclusions:
- Quantum mechanics-derived force fields, like QUBE, are nearing the accuracy needed for prospective drug discovery.
- The QUBE force field shows potential as a valuable tool in guiding the design of new kinase inhibitors.
- Further development and validation of QM-derived force fields are warranted for broader application in pharmaceutical research.
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