Name
Title | ||
|---|---|---|
A Computational Strategy to Investigate Relevant Similarities between Virus and Human Proteins - Local High Similarities between Herpes and Human Proteins. |
Abstract | ||
|---|---|---|
Investigating primary sequence and structural features of viral proteins/genes has revealed molecular mimicry and evolutionary relationship linking viruses to eukaryotes. The continuous improvement in sequencing-techniques makes available almost daily the whole genome/proteome of several microorganisms, making now possible systematic analyses of evolutionary correlations and accurate phylogeny investigations. In the present study we set up a methodology to identify significant and relevant similarities between viral and human proteomes. To this aim, the following steps were applied: i) identification of local similarity corresponding to continuous identity over at least 8-residues long fragments; ii) filtering results for statistical significance of the identified similarities, according to BLAST parameters for short sequences; iii) additional filters applied to the BLAST outputs, to select specific viruses. The present study indicates a novel accurate methodology to find relevant similarities among virus and human proteomes, useful to further investigate pathogenic mechanisms underlying infectious and noninfectious diseases. |
Year | Venue | Keywords |
|---|---|---|
2011 | BIOINFORMATICS 2011 | Proteome comparison,Molecular mimicry,Autoimmunity,Local similarity |
Field | DocType | Volume |
Virus,Human proteins,Biology,Molecular mimicry,Bioinformatics | Conference | 2011 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anna Marabotti | 1 | 6 | 5.15 |
| Corrado Cirielli | 2 | 0 | 0.34 |
| Daniela Agnese D'Arcangelo | 3 | 0 | 0.34 |
| Claudia Giampietri | 4 | 0 | 0.34 |
| F Facchiano | 5 | 3 | 2.46 |
| Angelo Facchiano | 6 | 72 | 9.55 |
| Angelo M. Facchiano | 7 | 2 | 4.04 |