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| Cấu trúc liên kết mạng PPI× | Tìm kiếm Hồ sơ HMMER× | |
|---|---|---|
| Lĩnh vực | Tin sinh học | Tin sinh học |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 2000 | 1994 |
| Người khởi xướng≠ | Peter Uetz | Sean Eddy |
| Loại≠ | Network analysis pipeline | Probabilistic sequence search pipeline |
| Công trình gốc≠ | 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 ↗ |
| Tên gọi khác | protein interaction networks, interactome analysis, network topology | profile-hidden Markov model, HMM profile search, HMMER |
| Liên quan | 3 | 3 |
| Tóm tắt≠ | 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. |
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