CACTI: An in-silicodrug-target prediction tool through the integration of chemogenomic data and clustering analysis
Karla P. Godinez-Macias,
Elizabeth A. Winzeler
Abstract:It is well-accepted that knowledge of a small molecule’s target can accelerate optimization. Although chemogenomic databases are helpful resources for predicting or finding compound interaction partners, they tend to be limited and poorly annotated. Furthermore, unlike genes, compound identifiers are often not standardized, and many synonyms may exist, especially in the biological literature, making batch analysis of compounds difficult. Here, we constructed an open-source annotation and target prediction tool… Show more
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