Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Топология на мрежи от протеин-протеинни взаимодействия (PPI)× | Търсене с HMMER профили× | |
|---|---|---|
| Област | Биоинформатика | Биоинформатика |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2000 | 1994 |
| Създател≠ | Peter Uetz | Sean Eddy |
| Тип≠ | Network analysis pipeline | Probabilistic sequence search pipeline |
| Основополагащ източник≠ | Uetz, P., Giot, L., Cagney, G., Mansfield, T. A., Judson, R. S., Knight, J. R., ... & Lomax, J. (2000). A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae. Nature, 403(6770), 623-627. DOI ↗ | Krogh, A., Brown, M., Mian, I. S., Sjölander, K., & Haussler, D. (1994). Hidden Markov models in computational biology: applications to protein modeling. Journal of Molecular Biology, 235(5), 1501-1531. DOI ↗ |
| Други названия | protein interaction networks, interactome analysis, network topology | profile-hidden Markov model, HMM profile search, HMMER |
| Свързани | 3 | 3 |
| Резюме≠ | Protein-protein interaction network analysis identifies and characterizes the structural properties of cellular interaction networks. Pioneered by Uetz and colleagues through large-scale yeast two-hybrid screening, this approach reveals topological features like hubs, modules, and motifs that encode functional organization and disease associations. | HMMER profile search identifies distant protein sequence homologs using probabilistic models of protein families, known as profile Hidden Markov Models (HMMs). Developed by Eddy and colleagues, this method captures sequence variation patterns within protein families and detects homologs with far greater sensitivity than position-weight matrices or pairwise alignment. |
| ScholarGateНабор от данни ↗ |
|
|