Literature DB >> 11471247

Use of contiguity on the chromosome to predict functional coupling.

R Overbeek1, M Fonstein, M D'Souza, G D Pusch, N Maltsev.   

Abstract

The availability of a growing number of completely sequenced genomes opens new opportunities for understanding of complex biological systems. Success of genome-based biology will, to a large extent, depend on the development of new approaches and tools for efficient comparative analysis of the genomes and their organization. We have developed a technique for detecting possible functional coupling between genes based on detection of potential operons. The approach involves computation of "pairs of close bidirectional best hits", which are pairs of genes that apparently occur within operons in multiple genomes. Using these pairs, one can compose evidence (based on the number of distinct genomes and the phylogenetic distance between the orthologous pairs) that a pair of genes is potentially functionally coupled. The technique has revealed a surprisingly rich and apparently accurate set of functionally coupled genes. The approach depends on the use of a relatively large number of genomes, and the amount of detected coupling grows dramatically as the number of genomes increases.

Mesh:

Substances:

Year:  1999        PMID: 11471247

Source DB:  PubMed          Journal:  In Silico Biol        ISSN: 1386-6338


  46 in total

1.  Connected gene neighborhoods in prokaryotic genomes.

Authors:  Igor B Rogozin; Kira S Makarova; Janos Murvai; Eva Czabarka; Yuri I Wolf; Roman L Tatusov; Laszlo A Szekely; Eugene V Koonin
Journal:  Nucleic Acids Res       Date:  2002-05-15       Impact factor: 16.971

2.  Computational approaches to protein-protein interaction.

Authors:  Giacomo Franzot; Oliviero Carugo
Journal:  J Struct Funct Genomics       Date:  2003

Review 3.  Proteome-wide prediction of protein-protein interactions from high-throughput data.

Authors:  Zhi-Ping Liu; Luonan Chen
Journal:  Protein Cell       Date:  2012-06-22       Impact factor: 14.870

4.  Predicting protein-protein interaction by searching evolutionary tree automorphism space.

Authors:  Raja Jothi; Maricel G Kann; Teresa M Przytycka
Journal:  Bioinformatics       Date:  2005-06       Impact factor: 6.937

5.  Co-evolutionary analysis of domains in interacting proteins reveals insights into domain-domain interactions mediating protein-protein interactions.

Authors:  Raja Jothi; Praveen F Cherukuri; Asba Tasneem; Teresa M Przytycka
Journal:  J Mol Biol       Date:  2006-08-01       Impact factor: 5.469

6.  Mac-1 Regulates IL-13 Activity in Macrophages by Directly Interacting with IL-13Rα1.

Authors:  Chunzhang Cao; Juanjuan Zhao; Emily K Doughty; Mary Migliorini; Dudley K Strickland; Maricel G Kann; Li Zhang
Journal:  J Biol Chem       Date:  2015-07-09       Impact factor: 5.157

7.  Comparative genomics of NAD biosynthesis in cyanobacteria.

Authors:  Svetlana Y Gerdes; Oleg V Kurnasov; Konstantin Shatalin; Boris Polanuyer; Roman Sloutsky; Veronika Vonstein; Ross Overbeek; Andrei L Osterman
Journal:  J Bacteriol       Date:  2006-04       Impact factor: 3.490

8.  MicroScope: a platform for microbial genome annotation and comparative genomics.

Authors:  D Vallenet; S Engelen; D Mornico; S Cruveiller; L Fleury; A Lajus; Z Rouy; D Roche; G Salvignol; C Scarpelli; C Médigue
Journal:  Database (Oxford)       Date:  2009-11-25       Impact factor: 3.451

9.  Microevolution of group A streptococci in vivo: capturing regulatory networks engaged in sociomicrobiology, niche adaptation, and hypervirulence.

Authors:  Ramy K Aziz; Rita Kansal; Bruce J Aronow; William L Taylor; Sarah L Rowe; Michael Kubal; Gursharan S Chhatwal; Mark J Walker; Malak Kotb
Journal:  PLoS One       Date:  2010-04-14       Impact factor: 3.240

10.  Assessing the quality of whole genome alignments in bacteria.

Authors:  Firas Swidan; Ron Shamir
Journal:  Adv Bioinformatics       Date:  2009-11-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.