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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Acta Naturae</journal-id><journal-title-group><journal-title xml:lang="en">Acta Naturae</journal-title><trans-title-group xml:lang="ru"><trans-title>Acta Naturae</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2075-8251</issn><publisher><publisher-name xml:lang="en">Acta Naturae Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">10699</article-id><article-id pub-id-type="doi">10.32607/20758251-2011-3-1-93-98</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Comparative Bioinformatic Analysis of Active Site Structures in Evolutionarily Remote Homologues of α,β-Hydrolase Superfamily Enzymes</article-title><trans-title-group xml:lang="ru"><trans-title>Comparative Bioinformatic Analysis of Active Site Structures in Evolutionarily Remote Homologues of α,β-Hydrolase Superfamily Enzymes</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name><surname>Suplatov</surname><given-names>D A</given-names></name><bio xml:lang="en"><p>Faculty of Bioengineering and Bioinformatics</p></bio><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff4"/></contrib><contrib contrib-type="author"><name><surname>Arzhanik</surname><given-names>V K</given-names></name><bio xml:lang="en"><p>Faculty of Bioengineering and Bioinformatics</p></bio><xref ref-type="aff" rid="aff3"/></contrib><contrib contrib-type="author"><name><surname>Svedas</surname><given-names>V K</given-names></name><bio xml:lang="en"><p>Faculty of Bioengineering and Bioinformatics</p></bio><xref ref-type="aff" rid="aff3"/><xref ref-type="aff" rid="aff4"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Lomonosov Moscow State University</institution></aff><aff><institution xml:lang="ru"></institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Belozersky Institute of Physicochemical Biology, Lomonosov Moscow State University</institution></aff><aff><institution xml:lang="ru"></institution></aff></aff-alternatives><aff id="aff3"><institution>Lomonosov Moscow State University</institution></aff><aff id="aff4"><institution>Belozersky Institute of Physicochemical Biology, Lomonosov Moscow State University</institution></aff><pub-date date-type="pub" iso-8601-date="2011-03-15" publication-format="electronic"><day>15</day><month>03</month><year>2011</year></pub-date><volume>3</volume><issue>1</issue><issue-title xml:lang="en">VOL 3, NO1 (2011)</issue-title><issue-title xml:lang="ru">ТОМ 3, №1 (2011)</issue-title><fpage>93</fpage><lpage>98</lpage><history><date date-type="received" iso-8601-date="2020-01-17"><day>17</day><month>01</month><year>2020</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2011, Suplatov D.A., Arzhanik V.K., Svedas V.K.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2011, Suplatov D.A., Arzhanik V.K., Svedas V.K.</copyright-statement><copyright-year>2011</copyright-year><copyright-holder xml:lang="en">Suplatov D.A., Arzhanik V.K., Svedas V.K.</copyright-holder><copyright-holder xml:lang="ru">Suplatov D.A., Arzhanik V.K., Svedas V.K.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://actanaturae.ru/2075-8251/article/view/10699">https://actanaturae.ru/2075-8251/article/view/10699</self-uri><abstract xml:lang="en"><p/></abstract><trans-abstract xml:lang="ru"><p>Comparative bioinformatic analysis is the cornerstone of the study of enzymes’ structure-function relationship. However, numerous enzymes that derive from a common ancestor and have undergone substantial functional alterations during natural selection appear not to have a sequence similarity acceptable for a statistically reliable comparative analysis. At the same time, their active site structures, in general, can be conserved, while other parts may largely differ. Therefore, it sounds both plausible and appealing to implement a comparative analysis of the most functionally important structural elements - the active site structures; that is, the amino acid residues involved in substrate binding and the catalytic mechanism. A computer algorithm has been developed to create a library of enzyme active site structures based on the use of the PDB database, together with programs of structural analysis and identification of functionally important amino acid residues and cavities in the enzyme structure. The proposed methodology has been used to compare some α,β-hydrolase superfamily enzymes. The insight has revealed a high structural similarity of catalytic site areas, including the conservative organization of a catalytic triad and oxyanion hole residues, despite the wide functional diversity among the remote homologues compared. The methodology can be used to compare the structural organization of the catalytic and substrate binding sites of various classes of enzymes, as well as study enzymes’ evolution and to create of a databank of enzyme active site structures.</p></trans-abstract><kwd-group xml:lang="en"><kwd>bioinformatics</kwd><kwd>comparative analysis</kwd><kwd>active site</kwd><kwd>structural alignment</kwd><kwd>β-hydrolases</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Koonin E.V., Galperin M.Y. Sequence-Evolution-Function: Computational approaches in comparative genomics. Boston: Kluwer Academic, 2003. 488 p.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Holm L., Sander C. // Science. 1996. V. 273. N 5275. P. 595-603.</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Grishin N.V. // J. Mol. Evol. 1997. V. 45. N 4. P. 359-369.</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Ollis D.L., Cheah E., Cygler M., Dijkstra B., Frolow F., Franken S.M., Harel M., Remington S.J., Silman I., Schrag J., Sussman J.L., Verschueren K.H.G., Goldman A. // Protein Engineering. 1992. V. 5. P. 197-211.</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Smith T.F., Waterman M.S. // Adv. Appl. Math. 1981. V. 2. P. 482-489.</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Altschul S.F., Gish W., Miller W., Myers E.W., Lipman D.J. // J. Mol. Biol. 1990. V. 215. N 3. P. 403-410.</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Altschul S.F., Madden T.L., Schaffer A.A., Zhang J., Zhang Z., Miller W., Lipman D.J. // Nucl. Acids Res. 1997. V. 25. N 17. P. 3389-3402.</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Krissinel E., Henrick K. // Acta Cryst. 2004. V. D60. P. 2256-2268.</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Dutta S., Zardecki C., Goodsell D.S., Berman H.M. // J. Appl. Crystall. 2010. V. 43. N 5. P. 1224-1229.</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Suresh C.G., Pundle A.V., SivaRaman H., Rao K.N., Brannigan J.A., McVey C.E., Verma C.S., Dauter Z., Dodson E.J., Dodson G.G. // Nat. Struct. Biol. 1999. V. 6. N 5. P. 414-416.</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Carita O., Rouvinen J. // Protein Sci. 2000. V. 9. P. 2329-2337.</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Uppenberg J., Hansen M.T., Patkar S., Jones T.A. // Curr. Biol. 1994. V. 2. P. 293-398.</mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>Gartler G., Kratky C., Gruber K. // J. Biotechnol. 2007. V. 129. N 1. P. 87-97.</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation>Wallace A.C., Laskowski R.A., Thornton J.M. // Protein Sci. 1996. V. 5. N 6. P. 1001-1013.</mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Varfolomeev S.D., Uporov I.V., Fedorov E.V. // Biochemistry (Moscow). 2002. V. 67. N 10. P. 1099-1108.</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation>Morley K., Kazlauskas R.J. // TRENDS Biotechnol. 2005. V. 23. N 5. P. 231-237.</mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Notredame C., Higgins D., Heringa J. // J. Mol. Biol. 2000. V. 302. P. 205-217.</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation>Konagurthu A., Whisstock J., Stuckey P., Lesk A. // Proteins. 2006. V. 64. P. 559-574.</mixed-citation></ref><ref id="B19"><label>19.</label><mixed-citation>The PyMOL Molecular Graphics System. Version 1.0r1. Schrodinger, LLC.</mixed-citation></ref><ref id="B20"><label>20.</label><mixed-citation>Waterhouse A., Procter J., Martin D., Clamp M., Barton G. // Bioinformatics. 2009. V. 25. P. 1189-1191.</mixed-citation></ref><ref id="B21"><label>21.</label><mixed-citation>Valdar W.S.J., Thornton J.M. // Proteins. 2001. V. 42. P. 108-124.</mixed-citation></ref><ref id="B22"><label>22.</label><mixed-citation>Vingron M., Argos P. // Comput. Appl. Biosci. 1989. V. 5. P. 115-121.</mixed-citation></ref><ref id="B23"><label>23.</label><mixed-citation>Vinogradov D.V., Mironov A.A. // Proc. 3rd Int. Conf. On Bioinformatics of Genome Regulation and Structure BGRS’2002, 2002. Novosibirsk, Russia, July 1. P. 28-30.</mixed-citation></ref><ref id="B24"><label>24.</label><mixed-citation>Kalinina O.V., Gelfand M.S., Russel R.B. // BMC Bioinformatics. 2009. V. 10. P. 174-198.</mixed-citation></ref><ref id="B25"><label>25.</label><mixed-citation>Porter C.T., Bartlett G.J., Thornton J.M. // Nucl. Acids. Res. 2004. V. 32. D129-D133.</mixed-citation></ref><ref id="B26"><label>26.</label><mixed-citation>Casari G., Sander C., Valencia A. // Nat. Struct. Biol. 1995. V. 2. P. 171-178.</mixed-citation></ref><ref id="B27"><label>27.</label><mixed-citation>Sankararaman S., Sha F., Kirsch J.F., Jordan M.I., Sjolander K. // Bioinformatics. 2010. V. 26. N 5. P. 617-624.</mixed-citation></ref><ref id="B28"><label>28.</label><mixed-citation>Pazos F., Bang J.-W. // Curr. Bioinformatics. 2006. V. 1. P. 15-23.</mixed-citation></ref><ref id="B29"><label>29.</label><mixed-citation>Dundas J., Ouyang Z., Tseng J., Binkowski A., Turpaz Y., Liang J. // Nucl. Acids Res. 2006. V. 34. W116-W118.</mixed-citation></ref><ref id="B30"><label>30.</label><mixed-citation>Liao D.-I., Breddam K., Sweet R.M., Bullock T., Remington S.J. // Biochemistry. 1992. V. 31. P. 9796-9812.</mixed-citation></ref><ref id="B31"><label>31.</label><mixed-citation>Gruber K., Garter G., Krammer B., Schwab H., Kratky C. // J. Biol. Chem. 2004. V. 279. N 19. P. 20501-20510.</mixed-citation></ref></ref-list></back></article>
