Cunliang Geng
Affiliations: | 2014-2018 | Utrecht University, Utrecht, Netherlands |
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Publications
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| Jung Y, Geng C, Bonvin AMJJ, et al. (2023) MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein-Protein Docking Conformations. Biomolecules. 13 |
| Renaud N, Geng C, Georgievska S, et al. (2021) DeepRank: a deep learning framework for data mining 3D protein-protein interfaces. Nature Communications. 12: 7068 |
| Renaud N, Jung Y, Honavar V, et al. (2020) iScore: An MPI supported software for ranking protein-protein docking models based on a random walk graph kernel and support vector machines. Softwarex. 11 |
| Koukos PI, Roel-Touris J, Ambrosetti F, et al. (2019) An overview of data-driven HADDOCK strategies in CAPRI rounds 38-45. Proteins |
| Lensink MF, Brysbaert G, Nadzirin N, et al. (2019) Blind prediction of homo- and hetero- protein complexes: The CASP13-CAPRI experiment. Proteins |
| Geng C, Jung Y, Renaud N, et al. (2019) iScore: A novel graph kernel-based function for scoring protein-protein docking models. Bioinformatics (Oxford, England) |
| Vangone A, Schaarschmidt J, Koukos P, et al. (2019) Large-scale prediction of binding affinity in protein-small ligand complexes: the PRODIGY-LIG web server. Bioinformatics (Oxford, England). 35: 1585-1587 |
| Geng C, Vangone A, Folkers GE, et al. (2018) iSEE: Interface Structure, Evolution and Energy-based machine learning predictor of binding affinity changes upon mutations. Proteins |
| Kurkcuoglu Z, Koukos PI, Citro N, et al. (2017) Performance of HADDOCK and a simple contact-based protein-ligand binding affinity predictor in the D3R Grand Challenge 2. Journal of Computer-Aided Molecular Design |
| Geng C, Narasimhan S, Rodrigues JP, et al. (2017) Information-Driven, Ensemble Flexible Peptide Docking Using HADDOCK. Methods in Molecular Biology (Clifton, N.J.). 1561: 109-138 |