scholarly article | Q13442814 |
P356 | DOI | 10.1093/BIOINFORMATICS/BTAA481 |
P2093 | author name string | Fernando Gonzalez-Nilo | |
Oswaldo Trelles | |||
Eugenia Ulzurrun | |||
Yorley Duarte | |||
Esteban Perez-Wohlfeil | |||
P2860 | cites work | Open Babel: An open chemical toolbox | Q21198766 |
PDB2PQR: an automated pipeline for the setup of Poisson-Boltzmann electrostatics calculations | Q27861014 | ||
Calculating an optimal box size for ligand docking and virtual screening against experimental and predicted binding pockets | Q27902293 | ||
Is It Reliable to Use Common Molecular Docking Methods for Comparing the Binding Affinities of Enantiomer Pairs for Their Protein Target? | Q28833848 | ||
AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility | Q29547658 | ||
JMS: An Open Source Workflow Management System and Web-Based Cluster Front-End for High Performance Computing | Q35747690 | ||
Automated prediction of ligand-binding sites in proteins | Q46283837 | ||
Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function | Q56885198 | ||
PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKa Predictions | Q57129760 | ||
Using a Consensus Docking Approach to Predict Adverse Drug Reactions in Combination Drug Therapies for Gulf War Illness | Q58114472 | ||
Comprehensive evaluation of ten docking programs on a diverse set of protein–ligand complexes: the prediction accuracy of sampling power and scoring power | Q60361933 | ||
TeachOpenCADD-KNIME: A Teaching Platform for Computer-Aided Drug Design Using KNIME Workflows | Q90710291 | ||
GCAC: galaxy workflow system for predictive model building for virtual screening | Q91337503 | ||
P433 | issue | 14 | |
P921 | main subject | open-source software | Q1130645 |
P304 | page(s) | 4203-4205 | |
P577 | publication date | 2020-05-16 | |
P1433 | published in | Computer applications in the biosciences : CABIOS | Q27710219 |
P1476 | title | PLIDflow: an open-source workflow for the online analysis of protein–ligand docking using galaxy | |
P478 | volume | 36 |
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