ArticleBMC bioinformatics2004
Structural characterization of genomes by large scale sequence-structure threading.
Article in BMC bioinformatics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Extreme value theory as a framework for understanding mutation frequency distribution in cancer genomes.PloS one · 2021Article
- Using phylogeny to improve genome-wide distant homology recognition.PLoS computational biology · 2007Article
- Detecting remotely related proteins by their interactions and sequence similarity.Proceedings of the National Academy of Sciences of the United States of America · 2005Article
- Structural characterization of genomes by large scale sequence-structure threading: application of reliability analysis in structural genomics.BMC bioinformatics · 2004Article
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Authors and funding
2 authors.
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Abstract
backgroundUsing sequence-structure threading we have conducted structural characterization of complete proteomes of 37 archaeal, bacterial and eukaryotic organisms (including worm, fly, mouse and human) totaling 167,888 genes.
resultsThe reported data represent first rather general evaluation of performance of full sequence-structure threading on multiple genomes providing opportunity to evaluate its general applicability for large scale studies. According to the estimated results the sequence-structure threading has assigned protein folds to more then 60% of eukaryotic, 68% of archaeal and 70% of bacterial proteomes.The repertoires of protein classes, architectures, topologies and homologous superfamilies (according to the CATH 2.4 classification) have been established for distant organisms and superkingdoms. It has been found that the average abundance of CATH classes decreases from "alpha and beta" to "mainly beta", followed by "mainly alpha" and "few secondary structures".3-Layer (aba) Sandwich has been characterized as the most abundant protein architecture and Rossman fold as the most common topology.
conclusionThe analysis of genomic occurrences of CATH 2.4 protein homologous superfamilies and topologies has revealed the power-law character of their distributions. The corresponding double logarithmic "frequency - genomic occurrence" dependences characteristic of scale-free systems have been established for individual organisms and for three superkingdoms.
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