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SELF-BLM: Prediction of drug-target interactions via self-training SVM
2017
PLoS ONE
Predicting drug-target interactions is important for the development of novel drugs and the repositioning of drugs. To predict such interactions, there are a number of methods based on drug and target protein similarity. Although these methods, such as the bipartite local model (BLM), show promise, they often categorize unknown interactions as negative interaction. Therefore, these methods are not ideal for finding potential drug-target interactions that have not yet been validated as positive
doi:10.1371/journal.pone.0171839
pmid:28192537
pmcid:PMC5305209
fatcat:irfzswf3u5cjrbenv2moptqi6y