Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A sparse autoencoder-based deep neural network for protein solvent accessibility and contact number prediction
SSpro/ACCpro 5: almost perfect prediction of protein secondary structure and relative solvent accessibility using profiles, machine learning and structural similarity
Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks
Convolutional neural network architectures for predicting DNA–protein binding
A novel methodology on distributed representations of proteins using their interacting ligands
A graph-theory algorithm for rapid protein side-chain prediction
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
Crystal Structure Prediction via Deep Learning.
DeepFam: Deep learning based alignment-free method for protein family modeling and prediction
Deep Learning Approach for Secondary Structure Protein Prediction based on First Level Features Extraction using a Latent CNN Structure
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
FoldingZero: Protein Folding from Scratch in Hydrophobic-Polar Model
Deep learning methods for protein torsion angle prediction
combining evolutionary information and neural networks to predict protein secondary structure .
Adaptive exploration for large-scale protein analysis in the molecular dynamics database
A survey of computational methods for protein complex prediction from protein interaction networks
Deep learning in pharmacy: The prediction of aqueous solubility based on deep belief network
Large-scale model quality assessment for improving protein tertiary structure prediction
End-to-end differentiable learning of protein structure
Protein Surface Representation and Comparison: New Approaches in Structural Proteomics
ChemNet: A Transferable and Generalizable Deep Neural Network for Small-Molecule Property Prediction
An Open Source Tool for Automated Input Data in Simulation
Lane detection and tracking system based on the MSER algorithm, hough transform and kalman filter
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
topological pattern recognition for point cloud data ∗ .
Inductive Representation Learning on Large Graphs