相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Using drug descriptions and molecular structures for drug-drug interaction extraction from literature
Masaki Asada et al.
BIOINFORMATICS (2021)
MUFFIN: multi-scale feature fusion for drug-drug interaction prediction
Yujie Chen et al.
BIOINFORMATICS (2021)
SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization
Yue Yu et al.
BIOINFORMATICS (2021)
SSI-DDI: substructure-substructure interactions for drug-drug interaction prediction
Arnold K. Nyamabo et al.
BRIEFINGS IN BIOINFORMATICS (2021)
A multimodal deep learning framework for predicting drug-drug interaction events
Yifan Deng et al.
BIOINFORMATICS (2020)
ISCMF: Integrated similarity-constrained matrix factorization for drug-drug interaction prediction
Narjes Rohani et al.
NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS (2020)
Graph convolutional networks for computational drug development and discovery
Mengying Sun et al.
BRIEFINGS IN BIOINFORMATICS (2020)
Pharmacodynamic Drug-Drug Interactions
Jin Niu et al.
CLINICAL PHARMACOLOGY & THERAPEUTICS (2019)
Network-based prediction of drug combinations
Feixiong Cheng et al.
NATURE COMMUNICATIONS (2019)
Novel deep learning model for more accurate prediction of drug-drug interaction effects
Geonhee Lee et al.
BMC BIOINFORMATICS (2019)
SFLLN: A sparse feature learning ensemble method with linear neighborhood regularization for predicting drug-drug interactions
Wen Zhang et al.
INFORMATION SCIENCES (2019)
DrugBank 5.0: a major update to the DrugBank database for 2018
David S. Wishart et al.
NUCLEIC ACIDS RESEARCH (2018)
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik et al.
BIOINFORMATICS (2018)
Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization
Hui Yu et al.
BMC SYSTEMS BIOLOGY (2018)
Identifying Drug-Target Interactions with Decision Templates
Xiao-Ying Yan et al.
CURRENT PROTEIN & PEPTIDE SCIENCE (2018)
Predicting potential drug-drug interactions on topological and semantic similarity features using statistical learning
Andrej Kastrin et al.
PLOS ONE (2018)
Deep learning improves prediction of drug-drug and drug-food interactions
Jae Yong Ryu et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data
Wen Zhang et al.
BMC BIOINFORMATICS (2017)
A probabilistic approach for collective similarity-based drug-drug interaction prediction
Dhanya Sridhar et al.
BIOINFORMATICS (2016)
Label Propagation Prediction of Drug-Drug Interactions Based on Clinical Side Effects
Ping Zhang et al.
SCIENTIFIC REPORTS (2015)
Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties
Feixiong Cheng et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2014)
INDI: a computational framework for inferring drug interactions and their associated recommendations
Assaf Gottlieb et al.
MOLECULAR SYSTEMS BIOLOGY (2012)
Extended-Connectivity Fingerprints
David Rogers et al.
JOURNAL OF CHEMICAL INFORMATION AND MODELING (2010)
Towards a mechanism-based analysis of pharmacodynamic drug-drug interactions in vivo
DM Jonker et al.
PHARMACOLOGY & THERAPEUTICS (2005)