Drug–target interaction prediction using unifying of graph regularized nuclear norm with bilinear factorization

Drug–target interaction prediction using unifying of graph regularized nuclear norm with bilinear factorization

Abstract Background Wet-lab experiments for identification of interactions between drugs and target proteins are time-consuming, costly and labor-intensive. The use of computational prediction of drug–target interactions (DTIs), which is one of the significant points in drug discovery, has been cons...

Full description

Bibliographic Details
Main Authors: Ali Ghanbari Sorkhi, Zahra Abbasi, Majid Iranpour Mobarakeh, Jamshid Pirgazi
Format: Article
Language:English
Published: BMC 2021-11-01
Series:BMC Bioinformatics
Subjects:
Drug–target interaction
Computational prediction
Low-rank interaction
Drug discovery
Online Access:https://doi.org/10.1186/s12859-021-04464-2

Similar Items

Similar Items