Automated docking of flexible ligands: Applications of autodock

自动停靠 一套 对接(动物) 计算机科学 模拟退火 网格 化学 计算科学 算法 生物信息学 数学 生物化学 医学 历史 几何学 护理部 考古 基因
作者
David S. Goodsell,Garrett M. Morris,Arthur J. Olson
出处
期刊:Journal of Molecular Recognition [Wiley]
卷期号:9 (1): 1-5 被引量:1446
标识
DOI:10.1002/(sici)1099-1352(199601)9:1<1::aid-jmr241>3.0.co;2-6
摘要

Journal of Molecular RecognitionVolume 9, Issue 1 p. 1-5 Article Automated docking of flexible ligands: Applications of autodock David S. Goodsell, David S. Goodsell Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037, U.S.A.Search for more papers by this authorGarrett M. Morris, Garrett M. Morris Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037, U.S.A.Search for more papers by this authorArthur J. Olson, Corresponding Author Arthur J. Olson Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037, U.S.A.Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037, U.S.A.Search for more papers by this author David S. Goodsell, David S. Goodsell Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037, U.S.A.Search for more papers by this authorGarrett M. Morris, Garrett M. Morris Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037, U.S.A.Search for more papers by this authorArthur J. Olson, Corresponding Author Arthur J. Olson Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037, U.S.A.Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037, U.S.A.Search for more papers by this author First published: January/February 1996 https://doi.org/10.1002/(SICI)1099-1352(199601)9:1<1::AID-JMR241>3.0.CO;2-6Citations: 1,081AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract AutoDock is a suite of C programs used to predict the bound conformations of a small, flexible ligand to a macromolecular target of known structure. The technique combines simulated annealing for conformation searching with a rapid grid-based method of energy evaluation. This paper reviews recent applications of the technique and describes the enhancements included in the current release. References Blaney, J. M. and Dixon, J. S. (1993) A good ligand is hard to find: automated docking methods. Persp. Drug Discov. Design. 1, 301–319. Chothia, C. (1974) Hydrophobic bonding and accessible surface area in proteins. Nature 248, 338–339. Eisenberg, D. and McLachlan, A. D. (1986) Solvation energy in protein folding and binding. Nature 319, 199–203. Friedman, A. R., Roberts, V. A. and Tainer, J. A. (1994) Predicting molecular interactions and inducible complementarity: fragment docking of Fab–peptide complexes. Proteins 20, 15–24. Goodford, P. J. (1985) A computational procedure for determining energetically favorable binding sites on biologically important macromolecules. J. Med. Chem. 28, 849–857. Goodsell, D. S., Lauble, H., Stout, C. D. and Olson, A. J. (1993) Automated docking in crystallogrphy: analysis of the substrates of aconitase. Proteins 17, 1–10. Goodsell, D. S. and Olson, A. J. (1990) Automated docking of substrates to proteins by simulated annealing. Proteins 8, 195–202. Jeffery, C. J. and Koshland, D. E. Jr., (1993) Three-dimensional structural model of the serine receptor ligand-binding domain. Prot. Sci. 2, 559–566. Lauble, H., Kennedy, M. C., Beinert, H. and Stout, C. D. (1992) Crystal structures of aconitase with isocitrate and nitroisocitrate bound. Biochemistry 31, 2735–2748. Leach, A. R. (1994) Ligand docking to proteins with discrete side-chain flexibility. J. Mol. Biol. 235, 345–356. Lunney, E. A. et al., (1994) A novel nonpeptide HIV-1 protease inhibitor: elucidation of the binding mode and its application in the design of related analogs. J. Med. Chem. 37, 2664–2677. Luty, B. A., Wasserman, Z. R., Stouten, P. F. W., Hodge, C. N., Zacharias, M. and McCammon, J. A. (1995) A molecular mechanics/grid method for evaluation of ligand-receptor interactions. J. Comp. Chem. 16, 454–464. Lybrand, T. P. (1995) Ligand–protein docking and rational drug design. Curr. Op. Struct. Biol. 5, 224–228. Mehler, E. L. and Solmajer, T. (1991) Electrostatic effects in proteins: comparison of dielectric and charge models. Prot. Engineering 4, 903–910. Meng, E. C., Shoichet, B. K. and Kuntz, I. D. (1991) Automated docking with grid-based energy evaluation. J. Comp. Chem. 13, 505–524. Pattabiraman, N., Levitt, M., Ferrin, T. E. and Langridge, R. (1985) Computer graphics in real-time docking with energy calculation and minimization. J. Comp. Chem. 6, 432–436. Rosenfeld, R., Vajda, S. and DeLisi, C. (1995) Flexible docking and design. Annu. Rev. Biophys. Biomol Struct. 24, 677–700. Stoddard, B. L. and Koshland, D. E. Jr. (1992) Prediction of the structure of a receptor–protein complex using a binary docking method. Nature 358, 774–776. Stoddad, B. L. and Koshland, D. E. Jr. (1993) Molecular recognition analyzed by docking simulations: the aspartate receptor and isocitrate dehydrogenase from Escherichia coli. Proc. Natl. Acad. Sci. USA 90, 1146–1153. Stouten, P. F. W., Frommel, C., Nakamura, H. and Sander, C. (1993) An effective solvation term based on atomic occupancies for use in protein simulations. Mol. Simulations 10, 97–120. Tomioka, N., Itai, A. and Litaka, Y. (1987) A method for fast energy estimation and visualization of protein–ligand interaction. J. Comp-Aided Mol. Design 1, 197–210. Vara Prasad, J. V. N. et al., (1994) Novel series of achiral, low molecular weight, and potent HIV-1 protease inhibitors. J. Am. Chem. Soc. 116, 6989–6990. Weiner, S. J. et al., (1984) A new force field for molecular mechanical simulation of nucleic acids and proteins. J. Am. Chem. Soc. 106, 765–784. Citing Literature Volume9, Issue1January/February 1996Pages 1-5 ReferencesRelatedInformation
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