Name
Title | ||
|---|---|---|
Structure alignment-based classification of RNA-binding pockets reveals regional RNA recognition motifs on protein surfaces. |
Abstract | ||
|---|---|---|
Large-scale RNA-binding pockets on protein surfaces are grouped by measuring their structural similarities. This similarity network-based framework provides a convenient method for modeling the structural relationships of functional pockets. The local structural patterns identified serve as structure motifs for the recognition with RNA on protein surfaces. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-016-1410-1 | BMC Bioinformatics |
Keywords | Field | DocType |
Local structure classification,Network clustering,RNA-binding pocket,Structural alignment,Structure motif | RNA,Network clustering,Structural bioinformatics,Structural alignment,Biology,Structural classification,Bioinformatics,DNA microarray,Protein structure | Journal |
Volume | Issue | ISSN |
18 | 1 | 1471-2105 |
Citations | PageRank | References |
2 | 0.37 | 15 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi-Ping Liu | 1 | 3 | 1.40 |
| Shutang Liu | 2 | 51 | 11.49 |
| Ruitang Chen | 3 | 2 | 0.37 |
| Xiaopeng Huang | 4 | 2 | 0.37 |
| Ling-yun Wu | 5 | 456 | 26.67 |