tinyIFD: A High-Throughput Binding Pose Refinement Workflow Through Induced-Fit Ligand Docking
Author:
Affiliation:
1. National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States
2. Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States
Funder
Advanced Scientific Computing Research
Office of Science
Publisher
American Chemical Society (ACS)
Subject
Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.2c01530
Reference52 articles.
1. AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading
2. AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings
3. Glide: A New Approach for Rapid, Accurate Docking and Scoring. 1. Method and Assessment of Docking Accuracy
4. Glide: A New Approach for Rapid, Accurate Docking and Scoring. 2. Enrichment Factors in Database Screening
5. Extra Precision Glide: Docking and Scoring Incorporating a Model of Hydrophobic Enclosure for Protein−Ligand Complexes
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