Concepedia

BDN-DDI: A bilinear dual-view representation learning framework for drug–drug interaction prediction

G. Ning, Yuping Sun, Jie Ling, Jijia Chen, Jiaxi He

Computers in Biology and Medicine · 2023 · 22 citations · 27 references

Concepts

PharmacyPharmacologyComputational Medicinal ChemistryDrug DiscoveryPharmacokinetic-pharmacodynamic ModelingBinding Affinity PredictionDrug Interaction ModelingDrug-drug Interaction InformaticsDrug-receptor InteractionsDrug-target Interaction MappingDrug-target Interaction NetworksDrug Interaction Deep LearningDrug Interaction Feature EngineeringDrug Interaction Machine LearningDrug Interaction Prediction ModelsDrug-drug Interaction Representation

References

27

Long Short-Term Memory

Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations

Computing, Computer Science, Algorithms +16

MizAR 60 for Mizar 50

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2023 · 76.3K citations · Full text

Computing, Computer Science, Computational Linguistics +14

Deep learning improves prediction of drug–drug and drug–food interactions

Jae Yong Ryu, Hyun Uk Kim, Sang Yup Lee · Proceedings of the National Academy of Sciences · 2018 · 624 citations · Full text

Pharmacy, Pharmacology, Drug Discovery +16

A multimodal deep learning framework for predicting drug–drug interaction events

Yifan Deng, Xinran Xu, Yang Qiu et al. · Bioinformatics · 2020 · 435 citations

Medicine, Pharmacology, Drug Discovery +16

Machine learning-based prediction of drug–drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties

Feixiong Cheng, Zhongming Zhao · Journal of the American Medical Informatics Association · 2014 · 382 citations · Full text

Medicine, Bioinformatics, Pharmacology +17