SSELM-neg: spherical search-based extreme learning machine for drug-target interaction prediction.

Background: The experimental verification of a drug discovery process is expensive and time-consuming. Therefore, efficiently and effectively identifying drug-target interactions (DTIs) has been the focus of research. At present, many machine learning algorithms are used for predicting DTIs.