Name
Abstract | ||
|---|---|---|
Generalization of an earlier algorithm has led to the development of new local structural alignment algorithms for prediction of protein-protein binding sites. The algorithms use maximum cliques on protein graphs to define structurally similar protein regions. The search for structural neighbors in the new algorithms has been extended to all the proteins in the PDB and the query protein is compared to more than 60 000 proteins or over 300 000 single-chain structures. The resulting structural similarities are combined and used to predict the protein binding sites. This study shows that the location of protein binding sites can be predicted by comparing only local structural similarities irrespective of general protein folds. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1021/ci100265x | JOURNAL OF CHEMICAL INFORMATION AND MODELING |
Field | DocType | Volume |
Sequence alignment,Graph theory,Plasma protein binding,Structural alignment,Binding site,Binding protein,Chemistry,Bioinformatics,Protein Data Bank (RCSB PDB),Clique (graph theory) | Journal | 50 |
Issue | ISSN | Citations |
10 | 1549-9596 | 7 |
PageRank | References | Authors |
0.53 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nejc Carl | 1 | 22 | 1.85 |
| Janez Konc | 2 | 181 | 13.91 |
| Blaž Vehar | 3 | 10 | 0.94 |
| Dusanka Janezic | 4 | 205 | 34.72 |