Top Abstract Purchase Related
Home
>
Node
>
Subnode

Computer analysis of regulatory signals in complete bacterial genomes. Participation of ribosome binding

Mironov, A.A.; Frishman, D.; Gelfand, M.S.

Molekuliarnaia Biologiia 33(1): 133-140

1999

ISSN/ISBN: 0026-8984
PMID: 10330671
Document Number: 509741
An algorithm of precise mapping of gene terminals in completely sequenced bacterial genomes is proposed. As opposed to the existing algorithms, the new algorithm does not need a tutorial and does not use homology analysis. The results are presented on testing the algorithm in Escherichia coli, Haemophilus influenzae, Helicobacter pylori, Bacillus subtilis, Methanococcus jannaschii, Archaeglobus fulgidus, and Methanobacterium thermoautotrophicum genomes. Reliability of the existing annotations of complete bacterial genomes is discussed.

Document emailed within 1 workday
Secure & encrypted payments

Yu, X.-P.; Zhu, C.; Zheng, X.-T.; Mu, A.-X.; Yu, H.-T. 2009: Cloning and analysis of the complete genomes of pigeon circovirus from Zhejiang Province Bing du Xue Bao 25(5): 355-361
Sugata, Y.; Hirano, S.; Tomita, M.; Kaburagi, F.; Okada, E.; Takizawa, E.; Takayama, H.; Yamamoto, Y. 1983: Ultrasonic measurement of the thickness of living ocular walls. 1. Computer analysis of RF signals Nippon Ganka Gakkai Zasshi 87(11): 1077-1083
Wilkie, R.; Jordan, J.L.; Muller, S.; Nicholls, E.; Healey, E.L.; van der Windt, D.A. 2011: Measures of social function and participation in musculoskeletal populations: Impact on Participation and Autonomy (IPA), Keele Assessment of Participation (KAP), Participation Measure for Post-Acute Care (PM-PAC), Participation Objective, Participation Subjective (POPS), Rating of Perceived Participation (ROPP), and the Participation Scale Arthritis Care and Research 63(Suppl 11): S325-S336
Wilkie, R.; Jordan, J.L.; Muller, S.; Nicholls, E.; Healey, E.L.; van der Windt, D.A. 2011: Measures of social function and participation in musculoskeletal populations: Impact on Participation and Autonomy (IPA), Keele Assessment of Participation (KAP), Participation Measure for Post-Acute Care (PM-PAC), Participation Objective, Participation Subjective (POPS), Rating of Perceived Participation (ROPP), and the Participation Scale Arthritis Care and Research 63(Suppl 11): S325-S336
Belousova, I.I. 1978: Ribosome binding to the membranes of Candida albicans Biokhimiia 43(3): 473-479
Borovina, T.A.; Nazipova, N.N.; Overbik, R.; Gel'fand, M.S. 1999: Statistical analysis and prediction of bacterial sites for ribosomal binding Biofizika 44(4): 611-619
Aumercier, M.; Lacroix, P.; Capmau, M.L.; Le Goffic, F. 1985: Water-soluble derivatives of factor IA of pristinamycins. Interaction with the bacterial ribosome Pathologie-Biologie 33(5 Part 2): 497-501
Steitz, J.A.; Dube, S.K.; Rudland, P.S. 1970: Control of translation of T4 phage: altered ribosome binding at R17 initiation sites Nature 226(5248): 824-827
Nikulova, A.A.; Polishchuk, M.S.; Tumanian, V.G.; Makeev, V.I.; Mironov, A.A.; Favorov, A.V. 2012: Correlations between clusters of protein-DNA binding sites and the binding experimental data allow to predict a structure of regulatory modules Biofizika 57(2): 212-214
Furukawa, K. 2016: Molecular dynamics and regulatory mechanisms for signals of glycosphingolipids in membrane lipid rafts Seikagaku. Journal of Japanese Biochemical Society 88(3): 369-379
Kirsch, P.; Jores, Jörg.; Wieler, L.H. 2004: Plasticity of bacterial genomes: pathogenicity islands and the locus of enterocyte effacement (LEE) Berliner und Münchener Tierärztliche Wochenschrift 117(3-4): 116-129
Tkachuk, V.A. 1981: Participation of adenylate cyclase in conducting hormonal signals through membranes Ukrainskii Biokhimicheskii Zhurnal 53(2): 5-27
Stavrovskaia, E.D.; Makeev, V.I.; Mironov, A.A. 2006: ClusterTree-RS: the binary tree algorithm for identification of co-regulated genes by clustering regulatory signals Molekuliarnaia Biologiia 40(3): 524-532
Barkovskiĭ, E.V.; Khrustalev, V.V. 2009: Inverse correlation between GC-content of bacterial genomes and the level of preterminal codons usage in them Molekuliarnaia Genetika Mikrobiologiia i Virusologiia 1: 16-21
Masny, A.; Plucienniczak, A. 2001: Fingerprinting of bacterial genomes by amplification of DNA fragments surrounding rare restriction sites Biotechniques 31(4): 930
Gruzina, V.D. 2003: Bacterial communication signals Antibiotiki i Khimioterapiia 48(10): 32-39
Baur, S.; Häussler, J.; Illert, M.; Wiese, H. 1989: Computer-assisted recording and evaluation of electromyography signals Biomedizinische Technik. Biomedical Engineering 34 Suppl: 235-236
Indra, M.; Krekule, I.; Skvaril, J.; Vlach, J. 1971: A direct input of neurophysiological signals into the MINSK 22 digital computer Activitas Nervosa Superior 13(2): 110
Milleret, R.; Le Mignon, C. 1984: Computers in the vascular research laboratory: treatment of Doppler signals by computer Phlebologie 37(2): 239-245
Blalock, J.E.; Smith, E.M. 1985: A complete regulatory loop between the immune and neuroendocrine systems Federation Proceedings 44(1 Part 1): 108-111