![Frontiers | Machine learning methods for protein-protein binding affinity prediction in protein design Frontiers | Machine learning methods for protein-protein binding affinity prediction in protein design](https://www.frontiersin.org/files/Articles/1065703/fbinf-02-1065703-HTML/image_m/fbinf-02-1065703-g001.jpg)
Frontiers | Machine learning methods for protein-protein binding affinity prediction in protein design
![Efficient prediction of relative ligand binding affinity in drug discovery | Nature Computational Science Efficient prediction of relative ligand binding affinity in drug discovery | Nature Computational Science](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs43588-023-00531-1/MediaObjects/43588_2023_531_Fig1_HTML.png)
Efficient prediction of relative ligand binding affinity in drug discovery | Nature Computational Science
![SMPLIP-Score: predicting ligand binding affinity from simple and interpretable on-the-fly interaction fingerprint pattern descriptors | Journal of Cheminformatics | Full Text SMPLIP-Score: predicting ligand binding affinity from simple and interpretable on-the-fly interaction fingerprint pattern descriptors | Journal of Cheminformatics | Full Text](https://media.springernature.com/m685/springer-static/image/art%3A10.1186%2Fs13321-021-00507-1/MediaObjects/13321_2021_507_Fig4_HTML.png)
SMPLIP-Score: predicting ligand binding affinity from simple and interpretable on-the-fly interaction fingerprint pattern descriptors | Journal of Cheminformatics | Full Text
Protein Binding Affinity of Polymeric Nanoparticles as a Direct Indicator of Their Pharmacokinetics | ACS Nano
Determination of binding affinity, Kd value of the DNA aptamer AraHH001... | Download Scientific Diagram
![SMPLIP-Score: predicting ligand binding affinity from simple and interpretable on-the-fly interaction fingerprint pattern descriptors | Journal of Cheminformatics | Full Text SMPLIP-Score: predicting ligand binding affinity from simple and interpretable on-the-fly interaction fingerprint pattern descriptors | Journal of Cheminformatics | Full Text](https://media.springernature.com/m685/springer-static/image/art%3A10.1186%2Fs13321-021-00507-1/MediaObjects/13321_2021_507_Fig5_HTML.png)
SMPLIP-Score: predicting ligand binding affinity from simple and interpretable on-the-fly interaction fingerprint pattern descriptors | Journal of Cheminformatics | Full Text
Predicting protein–ligand binding affinity and correcting crystal structures with quantum mechanical calculations: lactate dehydrogenase A - Chemical Science (RSC Publishing)
![Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning | Nature Biotechnology Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning | Nature Biotechnology](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41587-022-01307-0/MediaObjects/41587_2022_1307_Fig1_HTML.png)
Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning | Nature Biotechnology
![Combinatorial Effect of Ligand and Ligand-Binding Site Hydrophobicities on Binding Affinity | Journal of Chemical Information and Modeling Combinatorial Effect of Ligand and Ligand-Binding Site Hydrophobicities on Binding Affinity | Journal of Chemical Information and Modeling](https://pubs.acs.org/cms/10.1021/acs.jcim.9b01143/asset/images/large/ci9b01143_0004.jpeg)