Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.
By Richard A. Friesner, J. Banks, Robert B. Murphy, T. Halgren, Jasna Klicic, Daniel T. Mainz, Matthew P. Repasky, E. Knoll, Mee Shelley, J. K. Perry and 3 more. 2004
8,978 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Molecular Biology, Organic Chemistry, Computational Chemistry & Drug Discovery
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In Computational Theory and Mathematics
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In Computer Vision and Pattern Recognition
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In Molecular Biology
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In Organic Chemistry
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In Computational Chemistry & Drug Discovery
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Citations in the corpus
- Molecular Docking and Structure-Based Drug Design Strategies (2015, methodology): “Random/Stochastic Search eHiTS [28] AutoDock [34] FRED [30] Gold [35] Surflex-Dock [31] PRO_LEADS [44] DOCK [32] EADock [45] GLIDE [37] ICM [46] EUDOC [38] LigandFit [47] FlexX [39] Molegro Virtual Docker [48] Hammerhead [40] CDocker [49] Flog [41] GlamDock [50] SLIDE [42] PLANTS [51] ADAM [43]…”
- Generalized Biomolecular Modeling and Design with RoseTTAFold All-Atom (2023, neutral): “…RoseTTAFold All-Atom (RFAA), which combines a residue-based representation of amino acids and DNA bases with an atomic representation of all other groups to model assembliesthatcontainproteins,nucleicacids,smallmolecules,metals,andcovalentmodifications,giventheir sequences and chemical structures.”
- AlphaFold2 and its applications in the fields of biology and medicine (2023, methodology): “Zhang et al. 87 recently used Glide, 88 a molecular docking program, to benchmark the performance of virtual screening towards 28 common drug targets, each with a known experimental structure and an AF2 structure.”
- TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction (2022, methodology): “We also included four popular docking methods QVina-W, GINAMcNutt et al. [2021], SMINAKoes et al. [2013] and GLIDEFriesner et al. [2004] as listed in Stärk et al. [2022].”
- ATOM3D: Tasks On Molecules in Three Dimensions (2020, methodology): “Glide is state-of-the-art for scoring protein-ligand complexes and determining how "good" a pose is.”
- rDock: A Fast, Versatile and Open Source Program for Docking Ligands to Proteins and Nucleic Acids (2014, methodology): “The performance of rDock was compared with that of Glide (version 57111 [19]) and AutoDock Vina [20] for database enrichment and binding mode prediction for various test sets.”