Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
deep neural nets as a method for quantitative structure - activity relationships .
improving protein fold recognition by deep learning networks .
A New Deep Neighbor Residual Network for Protein Secondary Structure Prediction
Deep Learning Approach for Secondary Structure Protein Prediction based on First Level Features Extraction using a Latent CNN Structure
Computational chemical biology and drug design: Facilitating protein structure, function, and modulation studies
Predicting Drug-target Interaction via Wide and Deep Learning
Interpretable Drug Target Prediction Using Deep Neural Representation
Massively Multitask Networks for Drug Discovery
Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules
machine - learning scoring functions to improve structure - based binding affinity prediction and virtual screening .
deep - learning - based drug - target interaction prediction .
Predicting protein structures with a multiplayer online game
A deep learning framework for modeling structural features of RNA-binding protein targets
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
End-to-end differentiable learning of protein structure
PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction
Dependency-based convolutional neural network for drug-drug interaction extraction
Active site prediction using evolutionary and structural information
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
A renaissance of neural networks in drug discovery.
A hybrid security algorithm for RSA cryptosystem
On extracting feature models from product descriptions
Multi-city sustainable regional urban growth simulation—MSRUGS: a case study along the mid-section of Silk Road of China
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
Examining Motivation in Online Distance Learning Environments: Complex, Multifaceted, and Situation-Dependent.