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Association Rules to Identify Receptor and Ligand Structures through Named Entities Recognition.

, , , and . IEA/AIE (3), volume 6098 of Lecture Notes in Computer Science, page 119-128. Springer, (2010)

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FReDD: Supporting Mining Strategies through a Flexible-Receptor Docking Database., , , and . BSB, volume 5676 of Lecture Notes in Computer Science, page 143-146. Springer, (2009)Processo de KDD para Auxílio à Reconfiguração de Ambientes Virtualizados., and . SBSI, page 211-222. (2008)Association Rules to Identify Receptor and Ligand Structures through Named Entities Recognition., , , and . IEA/AIE (3), volume 6098 of Lecture Notes in Computer Science, page 119-128. Springer, (2010)Mining flexible-receptor molecular docking data., , , and . WIREs Data Mining Knowl. Discov., 1 (6): 532-541 (2011)Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data., , , , , , and . BMC Bioinformatics, (2012)A data warehouse as an infrastructure to mine molecular descriptors for virtual screening., , and . SAC, page 1335-1336. ACM, (2013)A Comparative Analysis of Public Ligand Databases Based on Molecular Descriptors., , , , and . BSB, volume 7409 of Lecture Notes in Computer Science, page 156-167. Springer, (2012)Discretization of Flexible-Receptor Docking Data., , , and . BSB, volume 6268 of Lecture Notes in Computer Science, page 75-79. Springer, (2010)A Portable OpenCL-Based Approach for SVMs in GPU., , and . BRACIS, page 198-203. IEEE Computer Society, (2015)