Name
Title | ||
|---|---|---|
A multiobjective approach for identifying protein complexes and studying their association in multiple disorders. |
Abstract | ||
|---|---|---|
Here, we present the task of identifying protein complexes as a multiobjective optimization problem. Identified protein complexes are found to be associated with several disorders classes like 'Cancer', 'Endocrine' and 'Multiple'. This analysis uncovers some new relationships between disorders and predicted complexes that may take a potential role in the prediction of multi target drugs. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/s13015-015-0056-2 | Algorithms for Molecular Biology |
Keywords | Field | DocType |
Disorders,Gene Ontology,Multiobjective optimization,Protein complex,Protein–protein interactions | Protein–protein interaction,Gene ontology,Computer science,Multi-objective optimization,Bioinformatics,Multiple disorders | Journal |
Volume | Issue | ISSN |
10 | 1 | 1748-7188 |
Citations | PageRank | References |
3 | 0.38 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanghamitra Bandyopadhyay | 1 | 3977 | 222.92 |
| Sumanta Ray | 2 | 26 | 4.39 |
| Anirban Mukhopadhyay | 3 | 711 | 50.07 |
| Ujjwal Maulik | 4 | 3152 | 169.12 |