Database of Molecular Motions

The Database of Macromolecular Motions is a bioinformatics database and software-as-a-service tool that attempts to categorize macromolecular motions, sometimes also known as conformational change.[4][5][6] It was originally developed by Mark B. Gerstein, Werner Krebs, and Nat Echols in the Molecular Biophysics & Biochemistry Department at Yale University.[7][8]

Database of Macromolecular Motions
Original author(s)Mark B. Gerstein
Werner G. Krebs[1]
Developer(s)molmovdb.org team at Yale University
Initial release1996 (1996)[2]
Typebioinformatics database, Software as a service[3]
Websitemolmovdb.org

Discussion

Since its introduction in the late 1990s, peer-reviewed papers on the database have received thousands of citations.[9][10] The database has been mentioned in news articles in major scientific journals,[4][6] book chapters,[5] and elsewhere.[7][8]

Users can search the database for a particular motion by either protein name or Protein Data Bank ID number.[1] Typically, however, users will enter the database via the Protein Data Bank, which often provides a hyperlink to the molmovdb entry for proteins found in both databases.

The database includes a web-based tool (the Morph server) which allows non-experts to animate and visualize certain types of protein conformational change through the generation of short movies. This system uses molecular modelling techniques to interpolate the structural changes between two different protein conformers and to generate a set of intermediate structures. A hyperlink pointing to the morph results is then emailed to the user.[3]

The Morph Server was originally primarily a research tool rather than general molecular animation tool, and thus offered only limited user control over rendering, animation parameters, color, and point of view, and the original methods sometimes required a fair amount of CPU time to completion.[11] Since their initial introduction in 1996, the database and associated morph server have undergone development to try to address some of these shortcomings[2][12] as well as add new features, such as Normal Mode Analysis.[13] Other research grounds have subsequently developed alternative systems, such as MovieMaker from the University of Alberta.[11]

Commercialization

Bioinformatics vendor DNASTAR has incorporated morphs from the database into its commercial Protean3D product.[14][15] The connection between DNASTAR and the authors of the database, if any, is not immediately clear.

See also

Notes
  • Gu, Jenny; Bourne, Philip E. (March 2009). Structural Bioinformatics (2nd ed.). Wiley-Blackwell. ISBN 978-0-470-18105-8.
  • Frauenfelder, Hans (10 June 2010). "Chapter 26 on Protein Motions". The Physics of Proteins: An Introduction to Biological Physics and Molecular Biophysics (Biological and Medical Physics, Biomedical Engineering). ISBN 978-1441910431.
  • Frauenfelder H (20 April 1989). "New looks at protein motions". Nature. 338 (6217): 623–4. Bibcode:1989Natur.338..623F. doi:10.1038/338623a0. S2CID 33628943.
  • Alexandrov V, Lehnert U, Echols N, Milburn D, Engelman D, Gerstein M (March 2005). "Normal modes for predicting protein motions: A comprehensive database assessment and associated Web tool". Protein Sci. 14 (3): 633–43. doi:10.1110/ps.04882105. PMC 2279292. PMID 15722444.
  • Alexandrov V, Gerstein M (January 2004). "Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures". BMC Bioinformatics. 5: 2. doi:10.1186/1471-2105-5-2. PMC 344530. PMID 14715091.
  • Echols N, Milburn D, Gerstein M (January 2003). "MolMovDB: analysis and visualization of conformational change and structural flexibility". Nucleic Acids Res. 31 (1): 478–82. doi:10.1093/nar/gkg104. PMC 165551. PMID 12520056.
  • Krebs WG, Alexandrov V, Wilson CA, Echols N, Yu H, Gerstein M (September 2002). "Normal mode analysis of macromolecular motions in a database framework: developing mode concentration as a useful classifying statistic". Proteins. 48 (4): 682–95. doi:10.1002/prot.10168. PMID 12211036. S2CID 1132091.

References
  1. Gerstein M, Krebs W (September 1998). "A database of macromolecular motions". Nucleic Acids Res. 26 (18): 4280–90. doi:10.1093/nar/26.18.4280. PMC 147832. PMID 9722650.
  2. Flores, S; Echols, N; Milburn, D; Hespenheide, B; Keating, K; Lu, J; Wells, S; Yu, E. Z.; Thorpe, M; Gerstein, M (2006). "The Database of Macromolecular Motions: new features added at the decade mark". Nucleic Acids Research. 34 (Database issue): D296–301. doi:10.1093/nar/gkj046. PMC 1347409. PMID 16381870.
  3. Krebs WG, Gerstein M (April 2000). "SURVEY AND SUMMARY: The morph server: a standardized system for analyzing and visualizing macromolecular motions in a database framework". Nucleic Acids Res. 28 (8): 1665–75. doi:10.1093/nar/28.8.1665. PMC 102811. PMID 10734184.
  4. "Hot Picks". Science. 284 (5416): 871b–871. 1999-05-07. doi:10.1126/science.284.5416.871b. ISSN 0036-8075. S2CID 220104660.
  5. Bourne PE, Helge W, eds. (2003). Structural Bioinformatics. Hoboken, NJ: Wiley-Liss. p. 229. ISBN 978-0-471-20199-1. OCLC 50199108.
  6. Bourne,PE; Murray-Rust, J; Lakey JH (Feb 1999). "Protein-nucleic acid interactions Folding and binding Web alert". Current Opinion in Structural Biology. 9 (1): 9–10. doi:10.1016/S0959-440X(99)90000-3.
  7. "Morphs". Proteopeida. Proteopeida. Retrieved 2015-10-30.
  8. Borner (ed.). Knowledge Management and Visualization Tools in Support of Discovery (NSF Workshop Report) (PDF) (Report). National Science Foundation Workshop. p. 5. Archived from the original (PDF) on 2016-03-04. Retrieved 2015-12-26.
  9. "Mark Gerstein - Google Scholar Citations". scholar.google.com. Retrieved 2015-12-26.
  10. "Werner G. Krebs - Google Scholar Citations". scholar.google.com. Retrieved 2015-12-26.
  11. Maiti R, Van Domselaar GH, Wishart DS (July 2005). "MovieMaker: a web server for rapid rendering of protein motions and interactions". Nucleic Acids Res. 33 (Web Server issue): W358–62. doi:10.1093/nar/gki485. PMC 1160245. PMID 15980488.
  12. Alexandrov V, Gerstein M (January 2004). "Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures". BMC Bioinformatics. 5: 2. doi:10.1186/1471-2105-5-2. PMC 344530. PMID 14715091.
  13. Alexandrov V, Lehnert U, Echols N, Milburn D, Engelman D, Gerstein M (March 2005). "Normal modes for predicting protein motions: A comprehensive database assessment and associated Web tool". Protein Sci. 14 (3): 633–43. doi:10.1110/ps.04882105. PMC 2279292. PMID 15722444.
  14. "The Motion Library in Protean3D documentation". www.dnastar.com. Retrieved 2015-11-13.
  15. "Protean3D overview". www.dnastar.com. Retrieved 2015-11-13.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.