Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: A generalized method toward drug-target interaction prediction via low-rank matrix projection
Supervised prediction of drug–target interactions using bipartite local models
DeepDTA: deep drug–target binding affinity prediction
Predicting undesirable drug interactions with promiscuous proteins in silico.
Dependency-based convolutional neural network for drug-drug interaction extraction
Similarity Drug Target Identification Using Side-Effect
An attention-based effective neural model for drug-drug interactions extraction
Drug-target interaction prediction via class imbalance-aware ensemble learning
Application of Machine Learning in Knowledge Discovery for Pharmaceutical Drug-drug Interactions
FRnet-DTI: Convolutional Neural Networks for Drug-Target Interaction
Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information
Sequence-based prediction of protein protein interaction using a deep-learning algorithm
Multiple-Criteria Decision Analysis-Based Multifactor Dimensionality Reduction for Detecting Gene–Gene Interactions
Random Forest Similarity for Protein-Protein Interaction Prediction from Multiple Sources
Ranking chemical structures for drug discovery: a new machine learning approach.
PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore database
Using a novel computational drug-repositioning approach (DrugPredict) to rapidly identify potent drug candidates for cancer treatment
Learning Graph-Level Representation for Drug Discovery
Large-scale prediction and testing of drug activity on side-effect targets
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting
Machine learning approaches for the discovery of gene-gene interactions in disease data
Generation Z consumers' expectations of interactions in smart retailing: A future agenda
A Variant of Genetic Algorithm Based Categorical Data Clustering for Compact Clusters and an Experimental Study on Soybean Data for Local and Global Optimal Solutions
Combined-Phase-Shift Waveguide Polarizer
Inferring Searcher Attention by Jointly Modeling User Interactions and Content Salience
Rebuilding Big Pharma ’ s Business Model