Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery

GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition

(2022) Yang Li et al.   IEEE Transactions on Affective Computing

Anomalous collapses of Nares Strait ice arches leads to enhanced export of Arctic sea ice

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Network medicine framework for identifying drug-repurposing opportunities for COVID-19

(2021) Deisy Morselli Gysi et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

BioERP: biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions

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DeepR2cov: deep representation learning on heterogeneous drug networks to discover anti-inflammatory agents for COVID-19

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MDF-SA-DDI: predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism

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A unified drug–target interaction prediction framework based on knowledge graph and recommendation system

(2021) Qing Ye et al.   Nature Communications

Multi-Dataset, Multitask Learning of Egocentric Vision Tasks

(2021) Georgios Kapidis et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

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Toward heterogeneous information fusion: bipartite graph convolutional networks for in silico drug repurposing

(2020) Zichen Wang et al.   BIOINFORMATICS

DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method

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Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition

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Publisher Correction: Network-based prediction of drug combinations

(2019) Feixiong Cheng et al.   Nature Communications

DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features

(2019) Yanyi Chu et al.   BRIEFINGS IN BIOINFORMATICS

Modeling polypharmacy side effects with graph convolutional networks

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Constructing Disease Similarity Networks Based on Disease Module Theory

(2018) Peng Ni et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

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

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MoleculeNet: a benchmark for molecular machine learning

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Network-based approach to prediction and population-based validation of in silico drug repurposing

(2018) Feixiong Cheng et al.   Nature Communications

The BioGRID interaction database: 2019 update

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A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information

(2017) Yunan Luo et al.   Nature Communications

A standard database for drug repositioning

(2017) Adam S. Brown et al.   Scientific Data

Predicting drug target interactions using meta-path-based semantic network analysis

(2016) Gang Fu et al.   BMC BIOINFORMATICS

DrugCentral: online drug compendium

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Similarity-based modeling in large-scale prediction of drug-drug interactions

(2014) Santiago Vilar et al.   Nature Protocols

DrugBank 4.0: shedding new light on drug metabolism

(2013) Vivian Law et al.   NUCLEIC ACIDS RESEARCH

A Review of Surface Plasmon Resonance-Enhanced Photocatalysis

(2012) Wenbo Hou et al.   ADVANCED FUNCTIONAL MATERIALS

Diagnosing the decline in pharmaceutical R&D efficiency

(2012) Jack W. Scannell et al.   NATURE REVIEWS DRUG DISCOVERY

The Comparative Toxicogenomics Database: update 2013

(2012) Allan Peter Davis et al.   NUCLEIC ACIDS RESEARCH

Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery

(2011) F. Zhu et al.   NUCLEIC ACIDS RESEARCH

Mapping the human protein interactome

(2008) Daniel Figeys   CELL RESEARCH

Human Protein Reference Database--2009 update

(2008) T. S. Keshava Prasad et al.   NUCLEIC ACIDS RESEARCH