A scientific paper entitled “Molecular Clustering via Knowledge Mining from Biomedical Scientific Corpora” has been accepted for oral presentation at the 13th IEEE International Conference on BioInformatics and BioEngineering (BIBE 2013), which is held in Chania, Greece, at November 10-13, 2013. Panagiotis Hasapis, Dimitrios Ntalaperas, Dimitrios Alexandrou, Thanassis Bouras and their co-authors argue for a novel architecture that allows the extraction of argumentation clauses that might exist in publications, in order to perform molecular clustering on referenced molecules. Grammar rules are defined and used to identify sentences corresponding to argumentation being present in publications. The references of those molecules are then compiled as lists that include their structure definition in SMILES format. These lists are given as input to virtual screening tools and then to a molecular clustering tool, with the ultimate goal to classify molecules that are known to be prone to specific diseases, thus leading to the discovery of new drugs.
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