Módszerek összehasonlítása

	Krio-elektronmikroszkópos rekonstrukció	HMMER profilkeresés
Tudományterület	Bioinformatika	Bioinformatika
Módszercsalád	Process / pipeline	Process / pipeline
Keletkezés éve	1975	1994
Megalkotó	Joachim Frank	Sean Eddy
Típus	Image reconstruction pipeline	Probabilistic sequence search pipeline
Alapmű	Frank, J. (2002). Single-particle imaging of macromolecules by cryo-electron microscopy. Annual Review of Biophysics and Biomolecular Structure, 31, 303-319.	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.
Alternatív nevek	cryo-electron microscopy, cryo-EM, single-particle cryo-EM	profile-hidden Markov model, HMM profile search, HMMER
Kapcsolódó	3	3
Összefoglaló	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.