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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Main Authors: Eman Alnabati, Juan Esquivel-Rodriguez, Genki Terashi, Daisuke Kihara
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Molecular Biosciences
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2022.935411/full
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author Eman Alnabati
Juan Esquivel-Rodriguez
Genki Terashi
Daisuke Kihara
Daisuke Kihara
author_facet Eman Alnabati
Juan Esquivel-Rodriguez
Genki Terashi
Daisuke Kihara
Daisuke Kihara
author_sort Eman Alnabati
collection DOAJ
description 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 Å, nine experimentally determined cryo-EM maps of resolution less than 4 Å, and 28 experimentally determined cryo-EM maps of resolution 6 to 20 Å.
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spelling doaj.art-22cba81fae8148c991e6e85f482ca4762022-12-22T00:45:53ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2022-07-01910.3389/fmolb.2022.935411935411MarkovFit: Structure Fitting for Protein Complexes in Electron Microscopy Maps Using Markov Random FieldEman Alnabati0Juan Esquivel-Rodriguez1Genki Terashi2Daisuke Kihara3Daisuke Kihara4Department of Computer Science, Purdue University, West Lafayette, IN, United StatesComputer Engineering School, Costa Rica Institute of Technology, Cartago, Costa RicaDepartment of Biological Sciences, Purdue University, West Lafayette, IN, United StatesDepartment of Computer Science, Purdue University, West Lafayette, IN, United StatesDepartment of Biological Sciences, Purdue University, West Lafayette, IN, United StatesAn 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 Å, nine experimentally determined cryo-EM maps of resolution less than 4 Å, and 28 experimentally determined cryo-EM maps of resolution 6 to 20 Å.https://www.frontiersin.org/articles/10.3389/fmolb.2022.935411/fullprotein modelingcryo-EMMarkov random fieldstructure fittingprotein structure prediction
spellingShingle Eman Alnabati
Juan Esquivel-Rodriguez
Genki Terashi
Daisuke Kihara
Daisuke Kihara
MarkovFit: Structure Fitting for Protein Complexes in Electron Microscopy Maps Using Markov Random Field
Frontiers in Molecular Biosciences
protein modeling
cryo-EM
Markov random field
structure fitting
protein structure prediction
title MarkovFit: Structure Fitting for Protein Complexes in Electron Microscopy Maps Using Markov Random Field
title_full MarkovFit: Structure Fitting for Protein Complexes in Electron Microscopy Maps Using Markov Random Field
title_fullStr MarkovFit: Structure Fitting for Protein Complexes in Electron Microscopy Maps Using Markov Random Field
title_full_unstemmed MarkovFit: Structure Fitting for Protein Complexes in Electron Microscopy Maps Using Markov Random Field
title_short MarkovFit: Structure Fitting for Protein Complexes in Electron Microscopy Maps Using Markov Random Field
title_sort markovfit structure fitting for protein complexes in electron microscopy maps using markov random field
topic protein modeling
cryo-EM
Markov random field
structure fitting
protein structure prediction
url https://www.frontiersin.org/articles/10.3389/fmolb.2022.935411/full
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