Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Molecular Docking on FPGA and GPU Platforms
Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function
Best bang for your buck: GPU nodes for GROMACS biomolecular simulations
MoleculeNet : A Benchmark for Molecular Machine Learning
autodock vina : improving the speed and accuracy of docking with a new scoring function , efficient optimization , and multithreading .
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks
NRGsuite: a PyMOL plugin to perform docking simulations in real time using FlexAID
Molecular Docking and High-Throughput Screening for Novel Inhibitors of Protein Tyrosine Phosphatase-1B
Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing
Molecular docking studies for discovery of plant-derived α-glucosidase inhibitors
Exploring Sequence Alignment Algorithms on FPGA-based Heterogeneous Architectures
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Molecular dynamics in drug design.
Molecular Hypergraph Grammar with its Application to Molecular Optimization
Accelerating Fluid Registration Algorithm on Multi-FPGA Platforms
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers
Latent Molecular Optimization for Targeted Therapeutic Design
Accelerating Compute-Intensive Applications with GPUs and FPGAs
FPGA2: An open source framework for FPGA-GPU PCIe communication
Large-Scale Systematic Analysis of 2D Fingerprint Methods and Parameters to Improve Virtual Screening Enrichments
Software Cost Estimation using Fuzzy Decision Trees
Precision Agriculture Design Method Using a Distributed Computing Architecture on Internet of Things Context †
Immigration and housing rents in American cities
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
adaptation in natural and artificial systems .