An automated stochastic approach to the identification of the protein specificity determinants and functional subfamilies
Recent progress in sequencing and 3 D structure determination techniques stimulated development of approaches aimed at more precise annotation of proteins, that is, prediction of exact specificity to a ligand or, more broadly, to a binding partner of any kind.
Gespeichert in:
| Hauptverfasser: | , , , , , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
15 July 2010
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| In: |
Algorithms for molecular biology
Year: 2010, Jahrgang: 5, Heft: 1, Pages: 1-12 |
| ISSN: | 1748-7188 |
| DOI: | 10.1186/1748-7188-5-29 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/1748-7188-5-29 |
| Verfasserangaben: | Pavel V Mazin, Mikhail S Gelfand, Andrey A Mironov, Aleksandra B Rakhmaninova, Anatoly R Rubinov, Robert B Russell, Olga V Kalinina |
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