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Chemical compounds

Novel Data Mining Methods for Virtual Screening of Biological Active Chemical Compounds by Othman Soufan

Othman Soufan, Ph.D., Computer Science
Nov 16, 14:00 - 15:00

H2 B9

machine learning data mining Computational biology biomedical applications Chemical compounds visualization

Abstract Drug discovery is a process that takes many years and hundreds of millions of dollars to reveal a con dent conclusion about a specific treatment. Part of this sophisticated process is based on preliminary investigations to suggest a set of chemical compounds as candidate drugs for the treatment. Computational resources have been playing a significant role in this part through a step known as virtual screening. From a data mining perspective, the availability of rich data resources is key in training prediction models. Yet, the difficulties imposed by big expansion in data and its

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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