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Wyszukiwanie profili HMMER×Rekonstrukcja w kriogenicznej mikroskopii elektronowej×
DziedzinaBioinformatykaBioinformatyka
RodzinaProcess / pipelineProcess / pipeline
Rok powstania19941975
TwórcaSean EddyJoachim Frank
TypProbabilistic sequence search pipelineImage reconstruction pipeline
Źródło pierwotneKrogh, 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 ↗
Inne nazwyprofile-hidden Markov model, HMM profile search, HMMERcryo-electron microscopy, cryo-EM, single-particle cryo-EM
Pokrewne33
PodsumowanieHMMER 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.
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ScholarGatePorównaj metody: HMMER Profile Search · Cryo-EM Reconstruction. Pobrano 2026-06-19 z https://scholargate.app/pl/compare