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| Content Provider | Springer Nature Link |
|---|---|
| Author | Theofilatos, Konstantis Dimitrakopoulos, Christos Likothanassis, Spiros Kleftogiannis, Dimitrios Moschopoulos, Charalampos Alexakos, Christos Papadimitriou, Stergios Mavroudi, Seferina |
| Copyright Year | 2013 |
| Abstract | Proteins are the functional components of many cellular processes and the identification of their physical protein–protein interactions (PPIs) is an area of mature academic research. Various databases have been developed containing information about experimentally and computationally detected human PPIs as well as their corresponding annotation data. However, these databases contain many false positive interactions, are partial and only a few of them incorporate data from various sources. To overcome these limitations, we have developed HINT-KB ( http://biotools.ceid.upatras.gr/hint-kb/ ), a knowledge base that integrates data from various sources, provides a user-friendly interface for their retrieval, calculates a set of features of interest and computes a confidence score for every candidate protein interaction. This confidence score is essential for filtering the false positive interactions which are present in existing databases, predicting new protein interactions and measuring the frequency of each true protein interaction. For this reason, a novel machine learning hybrid methodology, called (Evolutionary Kalman Mathematical Modelling—EvoKalMaModel), was used to achieve an accurate and interpretable scoring methodology. The experimental results indicated that the proposed scoring scheme outperforms existing computational methods for the prediction of PPIs. |
| Starting Page | 427 |
| Ending Page | 443 |
| Page Count | 17 |
| File Format | |
| ISSN | 02692821 |
| Journal | Artificial Intelligence Review |
| Volume Number | 42 |
| Issue Number | 3 |
| e-ISSN | 15737462 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2013-07-12 |
| Publisher Place | Dordrecht |
| Access Restriction | Subscribed |
| Subject Keyword | Protein–protein interactions Human PPI scoring methods Genetic algorithms Kalman Filters Knowledge base Artificial Intelligence (incl. Robotics) Computer Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Linguistics and Language |
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