Name
Abstract | ||
|---|---|---|
CysView is a web-based application tool that identifies and classifies proteins according to their disulfide connectivity patterns. It accepts a dataset of annotated protein sequences in various formats and returns a graphical representation of cysteine pairing patterns. CysView displays cysteine patterns for those records in the data with disulfide annotations. It allows the viewing of records grouped by connectivity patterns. CysView's utility as an analysis tool was demonstrated by the rapid and correct classification of scorpion toxin entries from GenPept on the basis of their disulfide pairing patterns. It has proved useful for rapid detection of irrelevant and partial records, or those with incomplete annotations. CysView can be used to support distant homology between proteins. CysView is publicly available at http://research.i2r.a-star.edu.sg/CysView/. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1093/nar/gkh475 | NUCLEIC ACIDS RESEARCH |
Keywords | Field | DocType |
prediction,disulfide bond formation,topologies,connectivity,nucleic,web based applications,protein sequence | Scorpion toxin,Cysteine,Biology,Disulfide bond,Pairing,Computational biology,Bioinformatics,Genetics | Journal |
Volume | Issue | ISSN |
32 | SUPnan | 0305-1048 |
Citations | PageRank | References |
6 | 0.68 | 8 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johann Lenffer | 1 | 10 | 2.03 |
| Paulo Lai | 2 | 8 | 1.09 |
| Wafaa El Mejaber | 3 | 6 | 0.68 |
| Asif M. Khan | 4 | 176 | 11.19 |
| J L Koh | 5 | 110 | 14.39 |
| Paul T J Tan | 6 | 13 | 1.44 |
| S H Seah | 7 | 79 | 10.51 |
| Vladimir Brusic | 8 | 551 | 63.37 |