Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Pafnucy - A deep neural network for structure-based drug discovery.
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
Interpretable Drug Target Prediction Using Deep Neural Representation
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction
A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction
Molecular Docking : A structure-based drug designing approach
A New Deep Neighbor Residual Network for Protein Secondary Structure Prediction
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
Chemi-net: a graph convolutional network for accurate drug property prediction
Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data Era
improving protein fold recognition by deep learning networks .
Capsule Networks for Protein Structure Classification and Prediction
Deep learning: from chemoinformatics to precision medicine
PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction
End-to-end differentiable learning of protein structure
Protein Secondary Structure Prediction with Long Short Term Memory Networks
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules
A deep learning framework for modeling structural features of RNA-binding protein targets
Planning chemical syntheses with deep neural networks and symbolic AI
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
Evaluation of OCPP and IEC 61850 for smart charging electric vehicles
Understanding the Intrinsic Motivations of User Acceptance of Hedonic Information Systems: Towards a Unified Research Model
A Fast Learning Algorithm for Deep Belief Nets
On the Front-End Converter and Its Control for a Battery Powered Switched-Reluctance Motor Drive
Dynamic Capabilities, Talent Development and Firm Performance