The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Using AutoDock for Ligand‐Receptor Docking
Abstract
This unit describes how to set up and analyze ligand‐protein docking calculations using AutoDock and the graphical user interface, AutoDockTools (ADT). The AutoDock scoring function is a subset of the AMBER force field that treats molecules using the United Atom model. The unit uses an X‐ray crystal structure of Indinavir bound to HIV‐1 protease taken from the Protein Data Bank (UNIT 1.9) and shows how to prepare the ligand and receptor for AutoGrid, which computes grid maps needed by AutoDock. Indinavir is prepared for AutoDock, adding the polar hydrogens, and partial charges, and defining the rotatable bonds that will be explored during the docking. The input files for AutoGrid and AutoDock are created, and then the grid map calculation run, followed by the docking calculation in AutoDock. Finally, this unit describes some of the ways the results can be analyzed using AutoDockTools. Curr. Protoc. Bioinform. 24:8.14.1‐8.14.40. © 2008 by John Wiley & Sons, Inc.
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Citations
Cites
A semiempirical free energy force field with charge‐based desolvation
Huey, R., Morris, G. M., Olson, A. J., & Goodsell, D. S. (2007) · Journal of Computational Chemistry · doi:10.1002/jcc.20634 · Cited by 2,246
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Cited by
Khursheed, A., Rather, M. A., Jain, V., Wani, A. R., Rasool, S., Nazir, R., Malik, N. A., & Majid, S. A. (2022) · Microbial Pathogenesis · doi:10.1016/j.micpath.2022.105854 · Cited by 322
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Galeazzi, L., Bocci, P., Amici, A., Brunetti, L., Ruggieri, S., Romine, M., Reed, S., Osterman, A. L., Rodionov, D. A., Sorci, L., et al. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.m111.275818 · Cited by 67
Bone marrow immune cells respond to fluctuating nutritional stress to constrain weight regain
Zhou, H.-Y., Feng, X., Wang, L.-W., Zhou, R., Sun, H., Chen, X., Lu, R.-B., Huang, Y., Guo, Q., & Luo, X.-H. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2023.08.009 · Cited by 30
Fatty Acids Abolish Shigella Virulence by Inhibiting Its Master Regulator, VirF
Trirocco, R., Pasqua, M., Tramonti, A., Grossi, M., Colonna, B., Paiardini, A., & Prosseda, G. (2023) · Microbiology Spectrum · doi:10.1128/spectrum.00778-23 · Cited by 16
Metadata
- Authors
- Morris, G. M., Huey, R., & Olson, A. J.
- Venue
- Current Protocols in Bioinformatics
- Publisher
- Wiley
- Published
- 2008-12
- Volume
- 24
- Issue
- 1
- Pages
- Unit 8.14-Unit 8.14
- ISSN
- 1934-3396 (ISSN-L)
- 1934-340X
- OpenAlex
- W1914280947
- Cited by
- 1,293
- References
- 1
- FWCI
- 15.24
- Type
- journal article
- Language
- en
- Open access
- closed
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