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Nitano - novel inter/intramolecular colocation calculator

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Nitano is a stand-alone Windows application. The main purpose of this software is to calculate the intra- or intermolecular residue colocations. A PDB file is used as input file. The application is to detect and analyse the intramolecular contacts as well as the contacts between residues from two separate chains/molecules (see Fig. 2). Nitano can be used for study the proteins and nucleic acids. The output files contain names, numbers and distances between the atoms that reveal collocation. The application gives two types of maps that show the structure on a two-dimensional image. Nitano allows to perform basic statistical analysis of obtained results. This application is a useful tool supporting the work of drug designers in creating more specific ligands. The application is freely available for educational and academic purposes at: http://www.bioware.republika.pl. Nitano is a user friendly application and does not require any advanced course to be applied for any kind of analysis.
Rocznik
Strony
91--97
Opis fizyczny
Bibliogr. 12 poz., rys., tab., wykr.
Twórcy
autor
  • Faculty of Biology, Warsaw University, Poland
  • CoE BioExploratorium, Warsaw University, Poland
autor
  • Faculty of Biological Sciences, University of Zielona Góra, Poland
  • CoE BioExploratorium, Warsaw University, Poland
autor
  • Faculty of Physics, University of Warsaw, Poland
  • CoE BioExploratorium, Warsaw University, Poland
Bibliografia
  • 1. Berman H.M., Westbrook J., Feng Z., Gilliland G., Bhat T.N., Weissig H., Shindyalov I.N., Bourne P.E.: The Protein Data Bank. Nucleic Acids Research 28: 235-242, 2000.
  • 2. Biro J. C.: A novel intra-molecular protein-protein interaction code based on partial complementary coding of co-locating amino acids, Medical Hypotheses: 66, 137-142, 2006.
  • 3. Biro J. C., Fördös G.: SeqX: a tool to detect, analyze and visualize residue co-locations in protein and nucleic acid structures , BMC Bioinformatics 6: 170, 2005.
  • 4. Kass I., Horovitz A.: Mapping pathways of allosteric communication in GroEL by analysis of correlated mutations Proteins: Struct. Funct. & Genet. 48: 611-617, 2002.
  • 5. Main E. R. G., Jackson S. E., Regan L.: The folding and design of repeat proteins: reaching a consensus. Current Opinion on Structural Biology 13: 482-489, 2003.
  • 6. Neher E.: How frequent are correlated changes in families of protein sequences, Proc. Natl. Acad. Sci. USA 91: 98-102, 1993.
  • 7. Oliveira L., Pavia A. C. M., Vriend G.: Correlated Mutation Analyses on Very Large Sequence Families. Chembiochem. 3(10):1010-7, 2002.
  • 8. Pieper U., Eswar N., Braberg H., Madhusudhan M.S., Davis F., Stuart A.C., Mirkovic N., Rossi A., Marti-Renom M.A., Fiser A., Webb B., Greenblatt D., Huang C., Ferrin T., Sali A.: MODBASE, a database of annotated comparative protein structure models, and associated resources. Nucleic Acids Research 32: D217-D222, 2004.
  • 9. Pieper U.,  Eswar N., Davis F.P., Braberg H., Madhusudhan M.S., Rossi A., Marti-Renom M., Karchin R,, Webb B.M., Eramian D., Shen M.Y., Kelly L., Melo F.,  Sali A.,:  MODBASE, a database of annotated comparative protein structure models and associated resources. Nucleic Acids Research 34, D291-D295, 2006.
  • 10. Sonnhammer E. L. L., Wooton J. C.: Dynamic contact maps of protein structure, Journal of Molecular Graphics and Modelling 16: 1-5, 1998.
  • 11. Valencia A., Pazos F.: Computational methods for the prediction of protein interactions, Current Opinion in Biology 12: 368-373, 2002.
  • 12. Vullo A., Walsh I., Pollastri G,: A two-stage approach for improved prediction of residue contact maps, BMC Bioinformatics 7:180, 2006.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4fcda837-5efb-452c-a3d0-3a1b79bd4754
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