Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework
Supervised prediction of drug–target interactions using bipartite local models
Application of Machine Learning in Knowledge Discovery for Pharmaceutical Drug-drug Interactions
DrugGenEx-Net: a novel computational platform for systems pharmacology and gene expression-based drug repurposing
Similarity Drug Target Identification Using Side-Effect
Large-scale prediction and testing of drug activity on side-effect targets
DeepDTA: deep drug–target binding affinity prediction
Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research
Drug—target network
Using a novel computational drug-repositioning approach (DrugPredict) to rapidly identify potent drug candidates for cancer treatment
Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties
Drug-target interaction prediction via class imbalance-aware ensemble learning
Algorithmic approaches to protein-protein interaction site prediction
DrugBank: a comprehensive resource for in silico drug discovery and exploration
An attention-based effective neural model for drug-drug interactions extraction
FRnet-DTI: Convolutional Neural Networks for Drug-Target Interaction
Diffusion mapping of drug targets on disease signaling network elements reveals drug combination strategies
A comprehensive map of molecular drug targets
PubChem as a public resource for drug discovery
DrugBank: a knowledgebase for drugs, drug actions and drug targets
Dependency-based convolutional neural network for drug-drug interaction extraction
Meshed Patch Antennas Integrated on Solar Cells
Review of Odd Even Routing Algorithm for 2D Mesh Topology of Network-on-Chip Architecture for Bursty Traffic
Faster gaze prediction with dense networks and Fisher pruning
Automated Verification of Neural Networks: Advances, Challenges and Perspectives
A Scaled Conjugate Gradient Algorithm for Fast Supervised Learning