Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Кріо-ЕМ реконструкція× | Пошук за профілями HMMER× | |
|---|---|---|
| Галузь | Біоінформатика | Біоінформатика |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1975 | 1994 |
| Автор методу≠ | Joachim Frank | Sean Eddy |
| Тип≠ | Image reconstruction pipeline | Probabilistic sequence search pipeline |
| Основоположне джерело≠ | 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 ↗ |
| Інші назви | cryo-electron microscopy, cryo-EM, single-particle cryo-EM | profile-hidden Markov model, HMM profile search, HMMER |
| Пов'язані | 3 | 3 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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