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The SVD assessment and aided draft the manuscript. CHS aided with

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작성자 Theo O'Donovan 작성일22-11-15 10:34 조회2회 댓글0건

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The 1-Oleoyl lysophosphatidic acid SVD analysis and helped draft the manuscript. CHS assisted with presenting the results, presented advice on its evaluation and aided draft the manuscript. MMS helped draft the manuscript and supplied assistance on analyzing the final results. WM participated in the coordination of the study and served draft the manuscript. All authors study and permitted the ultimate manuscript. Competing interests The authors declare they have no competing interests. Published: PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/11011031 22 December 2011 References one. Consortium TU: The Universal Protein Source (UniProt) in 2010. Nucleic Acids Research 2010, 38(Database difficulty):D142-D148. 2. Finn RD, Mistry J, Coggill P, Heger A, Pollington J, Gavin OL, Gunasekaran P, Ceric G, Forslund K, Holm L, Sohhhammer ELL, Eddy SR, Bateman A: The Pfam protein households databases. Nucleic Acids Exploration 2010, 38(Database difficulty):D211-D222. three. Murzin AG, Brenner SE, Hubbard T, Chothia C: SCOP: a structural classification of proteins database for the investigation of sequences and structures. Journal of Molecular Biology 1995, 247(4):536-40. four. Berman HM, Battistuz T, Bhat TN, Bluhm WF, Bourne PE, Burkhardt K, Feng Z, Gilliland GL, Iype L, Jain S, Fagan P, Marvin J, Padilla D, Ravichandran V, Schneider B, Thanki N, Weissig H, Westbrook JD, Zardecki C: The Protein Info Financial institution. Acta Crystallogr D Biol Crystallogr 2002, 58(Pt 6 No one):899-907. 5. Laskowski RA, Watson JD, Thornton JM: Protein functionality prediction employing community 3D templates. Journal of Molecular Biology 2005, 351(3):614-626. six. Laskowski RA, Watson JD, Thornton JM: ProFunc: a server for predicting protein function from 3D composition. Nucleic Acids Investigation 2005, 33(Internet Server concern):W89-93. 7. Watson JD, Roman AL, Thornton JM: Predicting protein function from sequence and structural facts. Present Opinion in Structural Biology 2005, 15(three):275-284. 8. Watson JD, Sanderson S, Ezersky A, Savchenko A, Edwards A, Orengo C, Joachimiak A, Laskowski RA, Thornton JM: To totally automatic structure-based operate prediction in structural genomics: a scenario research. Journal of Molecular Biology 2007, 367(five):1511-1522. nine. Chothia C, Lesk AM: The relation involving the divergence of sequence and structure in proteins. EMBO J 1986, 5(4):823-6. 10. Ding CH, Dubchak I: Multi-class protein fold recognition using guidance vector machines and neural networks. Bioinformatics 2001, 17(four):349-58. eleven. Shen HB, Chou KC: Ensemble classifier for protein fold pattern recognition. Bioinformatics 2006, 22(14):1717-22. 12. Cheng J, Baldi P: A equipment studying data retrieval approach to protein fold recognition. Bioinformatics 2006, 22(12):1456-63. 13. Barker JA, Thornton JM: An algorithm for constraint-based structural template matching: application to 3D templates with statistical analysis. Bioinformatics 2003, 19(thirteen):1644-9. 14. Goyal K, Mohanty D, Mande SC: PAR-3D: a server to predict protein lively web site residues. Nucleic Acids Analysis 2007, 35(Internet Server issue):W503-5.fifteen. Stark A, Russell RB: Annotation in a few dimensions. PINTS: Designs in Non-homologous Tertiary Constructions. Nucleic Acids Research 2003, 31(thirteen):3341-4. sixteen. Shazman S, Celniker G, Haber O, Glaser F, Mandel-Gutfreund Y: Patch Finder Moreover (PFplus): a web server for extracting and displaying constructive electrostatic patches on protein surfaces. Nucleic Acids Research 2007, 35(World-wide-web Server situation):W526-30. seventeen. Babor M, Gerzon S, Raveh B, Sobolev V, Edelman M: Prediction of changeover metal-binding sites from apo protein structures. Proteins 2008,.

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