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CompScore: Boosting Structure-Based Virtual Screening Performance by Incorporating Docking Scoring Function Components into Consensus Scoring.

, , , , , , , , , and . J. Chem. Inf. Model., 59 (9): 3655-3666 (2019)

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Preeclampsia: a bioinformatics approach through protein-protein interaction networks analysis., , and . BMC Syst. Biol., (2012)Exploring Target Identification for Drug Design with K-Nearest Neighbors' Algorithm., , , and . ICAISC (2), volume 14126 of Lecture Notes in Computer Science, page 219-227. Springer, (2023)Simple Matrix Factorization Collaborative Filtering for Drug Repositioning on Cell Lines., , and . HEALTHINF, page 768-775. SCITEPRESS, (2021)Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy., , , , and . J. Cheminformatics, 16 (1): 27 (December 2024)Harmonization of QSAR Best Practices and Molecular Docking Provides an Efficient Virtual Screening Tool for Discovering New G-Quadruplex Ligands., , , , , , , , , and 7 other author(s). J. Chem. Inf. Model., 55 (10): 2094-2110 (2015)CompScore: Boosting Structure-Based Virtual Screening Performance by Incorporating Docking Scoring Function Components into Consensus Scoring., , , , , , , , , and . J. Chem. Inf. Model., 59 (9): 3655-3666 (2019)A Representation Method for Cellular Lines based on SVM and Text Mining., , and . BIBM, page 2717-2723. IEEE, (2020)Representing Cellular Lines with SVM and Text Processing., , and . BCB, page 82:1. ACM, (2020)