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UET: a database of evolutionarily-predicted functional determinants of protein sequences that cluster as functional sites in protein structures., , , , , , and . Nucleic Acids Res., 44 (Database-Issue): 308-312 (2016)Computing Therapy for Precision Medicine: Collaborative Filtering Integrates and Predicts Multi-entity Interactions., , and . PSB, page 21-32. (2016)Accounting for epistatic interactions improves the functional analysis of protein structures., , , , , , and . Bioinform., 29 (21): 2714-2721 (2013)Discovery of Functional and Disease Pathways by Community Detection in Protein-Protein Interaction Networks., , , , and . PSB, page 336-347. (2017)Human Kinases Display Mutational Hotspots at Cognate Positions Within Cancer., , and . PSB, page 414-425. (2017)Disentangling evolutionary signals: conservation, specificity determining positions and coevolution. Implication for catalytic residue prediction., , , and . BMC Bioinform., (2012)An Evolutionary Trace method defines functionally important bases and sites common to RNA families., , and . PLoS Comput. Biol., (2020)Predicting Future Scientific Discoveries Based on a Networked Analysis of the Past Literature., , , , , , , , , and 13 other author(s). KDD, page 2019-2028. ACM, (2015)Automated Hypothesis Generation Based on Mining Scientific Literature, , , , , , , , , and 9 other author(s). Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1877--1886. New York, NY, USA, ACM, (2014)Automated hypothesis generation based on mining scientific literature., , , , , , , , , and 9 other author(s). KDD, page 1877-1886. ACM, (2014)