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| Ricostruzione in crio-EM× | Ricerca di profili HMMER× | |
|---|---|---|
| Campo | Bioinformatica | Bioinformatica |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1975 | 1994 |
| Ideatore≠ | Joachim Frank | Sean Eddy |
| Tipo≠ | Image reconstruction pipeline | Probabilistic sequence search pipeline |
| Fonte seminale≠ | Frank, J. (2002). Single-particle imaging of macromolecules by cryo-electron microscopy. Annual Review of Biophysics and Biomolecular Structure, 31, 303-319. 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 ↗ |
| Alias | cryo-electron microscopy, cryo-EM, single-particle cryo-EM | profile-hidden Markov model, HMM profile search, HMMER |
| Correlati | 3 | 3 |
| Sintesi≠ | Cryo-electron microscopy (cryo-EM) determines three-dimensional macromolecular structures at atomic or near-atomic resolution by imaging proteins frozen in vitreous ice. Pioneered by Frank, Henderson, and others, this technique has revolutionized structural biology by enabling visualization of large, non-crystallizable complexes and capturing functional conformational states. | 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. |
| ScholarGateInsieme di dati ↗ |
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