The development of target-specific pose filter ensembles to boost ligand enrichment for structure-based virtual screening

J Xia, JH Hsieh, H Hu, S Wu… - Journal of chemical …, 2017 - ACS Publications
… on which FRED failed to generate docking poses because of … pose classifiers (ie, PFs),
106 were optimal models for pose prediction, whose values of both CV accuracy and prediction

Protein-Based Virtual Screening Tools Applied for RNA–Ligand Docking Identify New Binders of the preQ1-Riboswitch

E Kallert, TR Fischer, S Schneider… - Journal of Chemical …, 2022 - ACS Publications
… FlexX, FRED, and HYBRID were selected for a prospective VS against the Bacillus subtilis
preQ 1 -RS. All three programs showed high accuracy in binding mode prediction with re-…

High-throughput virtual screening and validation of a SARS-CoV-2 main protease noncovalent inhibitor

A Clyde, S Galanie, DW Kneller, H Ma… - Journal of chemical …, 2021 - ACS Publications
… When ligand-binding information was available in the receptor, HYBRID was used due to
its increased pose prediction accuracy over FRED. (19) HYBRID and FRED have the same …

Machine learning consensus scoring improves performance across targets in structure-based virtual screening

SS Ericksen, H Wu, H Zhang, LA Michael… - Journal of chemical …, 2017 - ACS Publications
… A compound docked by FRED, for example, may not result in … The preferred solution
would be separate pose prediction … We find that ranking by MVC gains enrichment accuracy

The discovery of novel HDAC3 inhibitors via virtual screening and in vitro bioassay

J Xia, H Hu, W Xue, XS Wang, S Wu - Journal of Enzyme Inhibition …, 2018 - Taylor & Francis
… , we selected top-ranking compounds from the lists of FRED and Vina, respectively. … , and
it was able to classify poses in a CV accuracy of 86.75% and a prediction accuracy of 87%. We …

The use of fake ligands from computational solvent mapping in ligand and structure-based virtual screening

DR Hall, IJ Enyedy - Future Medicinal Chemistry, 2016 - Taylor & Francis
… of computational solvent mapping with virtual screening was performed with FRED. This …
the ligand to a better pose and more accurately distinguish active from inactive molecules. …

Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep docking

F Gentile, JC Yaacoub, J Gleave, M Fernandez… - Nature …, 2022 - nature.com
… In the Procedure, we outline the steps to prepare grids for docking with Glide or FRED. … ,
reporting sample size, test set recall value, test set precision and predicted number of remaining …

Pose filter-based ensemble learning enables discovery of orally active, nonsteroidal farnesoid x receptor agonists

J Xia, Z Wang, Y Huan, W Xue, X Wang… - Journal of chemical …, 2020 - ACS Publications
… Unfortunately, structure-based virtual screening (SBVS) that … a prediction accuracy (PA)
value of 92.49% and the poses of … of 3RUT by FRED, with only the top-scoring pose retained for …

Fragment pose prediction using non-equilibrium candidate Monte Carlo and molecular dynamics simulations

NM Lim, M Osato, GL Warren… - Journal of chemical …, 2020 - ACS Publications
… -protein structure using FRED from OEDock (v3.2.0.2), generating 1000 docked poses, and
… given the force fields, protonation states, accuracy of our model, and simulation timescales …

Machine learning classification can reduce false positives in structure-based virtual screening

YO Adeshina, EJ Deeds… - Proceedings of the …, 2020 - National Acad Sciences
… as the popular FRED Chemgauss4 scoring function (64). … We took for each method the
top five predicted activities for … We then calculated accuracy, precision, recall, area under …