Towards a purely physics-based computational binding affinity estimation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)
Link
https://www.nature.com/articles/s43588-023-00396-4.pdf
Reference5 articles.
1. Mobley, D. L. & Gilson, M. K. Predicting binding free energies: Frontiers and benchmarks. Annu. Rev. Biophys. 46, 531–558 (2017). A review article that presents different binding free energy estimation methods.
2. Woo, H. J. & Roux, B. Calculation of absolute protein–ligand binding free energy from computer simulations. Proc. Natl Acad. Sci. USA 102, 6825–6830 (2005). A research article that pioneers the stratification strategy for binding affinity estimation.
3. Gumbart, J. C., Roux, B. & Chipot, C. Standard binding free energies from computer simulations: What is the best strategy? J. Chem. Theory Comput. 9, 794–802 (2013). A research article that implements the stratification strategy for binding affinity estimation.
4. Fu, H. et al. Accurate determination of protein:ligand standard binding free energies from molecular dynamics simulations. Nat. Protoc. 17, 1114–1141 (2022). A protocol article that presents the implementation of the stratification strategy for binding affinity estimation.
5. Govind Kumar, V., Agrawal, S., Kumar, T. K. S. & Moradi, M. Mechanistic picture for monomeric human fibroblast growth factor 1 stabilization by heparin binding. J. Phys. Chem. B 125, 12690–12697 (2021). A research article that presents a computational–experimental investigation of the hFGF1:heparin interaction.
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1. Binding affinity predictions with hybrid quantum-classical convolutional neural networks;Scientific Reports;2023-10-20
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