Identifying GPCR-drug interaction based on wordbook learning from sequences.
Pu WangXiaotong HuangWangren QiuXuan XiaoPublished in: BMC bioinformatics (2020)
The proposed methods are effective for GPCR-drug interaction prediction, and may also be potential methods for other target-drug interaction prediction, or protein-protein interaction prediction. In addition, the new proposed feature extraction method for GPCR sequences is the modified version of the traditional BoW model and may be useful to solve problems of protein classification or attribute prediction. The source code of the proposed methods is freely available for academic research at https://github.com/wp3751/GPCR-Drug-Interaction.