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MarkovFit: Structure Fitting for Protein Complexes in Electron Microscopy Maps Using Markov Random Field

An increasing number of protein complex structures are determined by cryo-electron microscopy (cryo-EM). When individual protein structures have been determined and are available, an important task in structure modeling is to fit the individual structures into the density map. Here, we designed a me...

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Detalles Bibliográficos
Autores principales: Alnabati, Eman, Esquivel-Rodriguez, Juan, Terashi, Genki, Kihara, Daisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358042/
https://www.ncbi.nlm.nih.gov/pubmed/35959463
http://dx.doi.org/10.3389/fmolb.2022.935411
Descripción
Sumario:An increasing number of protein complex structures are determined by cryo-electron microscopy (cryo-EM). When individual protein structures have been determined and are available, an important task in structure modeling is to fit the individual structures into the density map. Here, we designed a method that fits the atomic structures of proteins in cryo-EM maps of medium to low resolutions using Markov random fields, which allows probabilistic evaluation of fitted models. The accuracy of our method, MarkovFit, performed better than existing methods on datasets of 31 simulated cryo-EM maps of resolution 10 [Formula: see text] , nine experimentally determined cryo-EM maps of resolution less than 4 [Formula: see text] , and 28 experimentally determined cryo-EM maps of resolution 6 to 20 [Formula: see text] .