Work

SDDSynergy: Learning Important Molecular Substructures for Explainable Anticancer Drug Synergy Prediction

Year: 2024

Type: article

Source: Journal of Chemical Information and Modeling

DOI: 10.1021/acs.jcim.4c00177

Authors: Yunjiong Liu, Peiliang Zhang, Chao Che, Ziqi Wei

Institutions: Dalian University, Wuhan University of Technology, Chinese Academy of Sciences, Institute of Automation

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Drug Discovery

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Dalian University of Technology, Department of Education of Liaoning Province, Higher Education Discipline Innovation Project

Awards: G1699710931, G3688411052, G4187494555, G4951012505, G49595074, G847766817

OpenAlex ID: W4396509571

FWCI: 2.923

Cites: 50

Cited by: 22

Related to: 10