Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Пошук за профілями HMMER× | Кріо-ЕМ реконструкція× | |
|---|---|---|
| Галузь | Біоінформатика | Біоінформатика |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1994 | 1975 |
| Автор методу≠ | Sean Eddy | Joachim Frank |
| Тип≠ | Probabilistic sequence search pipeline | Image reconstruction pipeline |
| Основоположне джерело≠ | 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 ↗ | Frank, J. (2002). Single-particle imaging of macromolecules by cryo-electron microscopy. Annual Review of Biophysics and Biomolecular Structure, 31, 303-319. DOI ↗ |
| Інші назви | profile-hidden Markov model, HMM profile search, HMMER | cryo-electron microscopy, cryo-EM, single-particle cryo-EM |
| Пов'язані | 3 | 3 |
| Підсумок≠ | 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. | 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. |
| ScholarGateНабір даних ↗ |
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