Dong et al., 2021 - Google Patents
Prediction of binding free energy of protein–ligand complexes with a hybrid molecular mechanics/generalized born surface area and machine learning methodDong et al., 2021
View HTML- Document ID
- 12109477161225703022
- Author
- Dong L
- Qu X
- Zhao Y
- Wang B
- Publication year
- Publication venue
- ACS omega
External Links
Snippet
Accurate prediction of protein–ligand binding free energies is important in enzyme engineering and drug discovery. The molecular mechanics/generalized Born surface area (MM/GBSA) approach is widely used to estimate ligand-binding affinities, but its …
- 230000027455 binding 0 title abstract description 318
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- G06F19/706—Chemoinformatics, i.e. data processing methods or systems for the retrieval, analysis, visualisation, or storage of physicochemical or structural data of chemical compounds for drug design with the emphasis on a therapeutic agent, e.g. ligand-biological target interactions, pharmacophore generation
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