TY - JOUR
AU1 - Wang, Lei
AU2 - You, Zhu-Hong
AU3 - Chen, Xing
AU4 - Yan, Xin
AU5 - Liu, Gang
AU6 - Zhang, Wei
AB - Identification of interaction between drugs and target proteins plays an important role in discovering new drug candidates. However, through the experimental method to identify the drug-target interactions remain to be extremely time-consuming, expensive and challenging even nowadays. Therefore, it is urgent to develop new computational methods to predict potential drugtarget interactions (DTI).
TI - RFDT: A Rotation Forest-based Predictor for Predicting Drug-Target Interactions Using Drug Structure and Protein Sequence Information.
JF - Current protein & peptide science
DO - 10.2174/1389203718666161114111656
DA - 2019-03-12
UR - https://www.deepdyve.com/lp/pubmed/rfdt-a-rotation-forest-based-predictor-for-predicting-drug-target-q0Gj8rqsIq
SP - 445
EP - 454
VL - 19
IS - 5
DP - DeepDyve
ER -