Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Machine learning in computational docking
Development and Validation of a Genetic Algorithm for Flexible Docking
Computational chemical biology and drug design: Facilitating protein structure, function, and modulation studies
Convolutional neural network architectures for predicting DNA–protein binding
Computational Drug Discovery with Dyadic Positive-Unlabeled Learning
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
Deep learning for computational biology
Deep Learning in Drug Discovery
Protein-Ligand Scoring with Convolutional Neural Networks
Hidden Markov Models in Computational Biology: Applications to Protein Modeling
Multilevel Parallelization of AutoDock 4.2
An active role for machine learning in drug development
Algorithmic approaches to protein-protein interaction site prediction
mD3DOCKxb: An Ultra-Scalable CPU-MIC Coordinated Virtual Screening Framework
AutoDock and AutoDockTools for Protein-Ligand Docking: Beta-Site Amyloid Precursor Protein Cleaving Enzyme 1(BACE1) as a Case Study.
Deep Learning as an Opportunity in Virtual Screening
Prediction of DNA-binding propensity of proteins by the ball-histogram method using automatic template search
A Survey of Computational Treatments of Biomolecules by Robotics-Inspired Methods Modeling Equilibrium Structure and Dynamic
A novel methodology on distributed representations of proteins using their interacting ligands
Adaptive exploration for large-scale protein analysis in the molecular dynamics database
A Machine Learning Approach to Predict Chemical Reactions
accuracy of rapid influenza diagnostic tests : a meta - analysis .
How expensive are free smartphone apps?
Autocomplete 3D sculpting
The Role of Examination under Anesthesia (EUA) and Vaginoscopy in Pediatric and Adolescent Gynecology: A Retrospective Review
Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function