Combining Cryo-EM Density Map and Residue Contact for Protein Secondary Structure Topologies

Although atomic structures have been determined directly from cryo-EM density maps with high resolutions, current structure determination methods for medium resolution (5 to 10 Å) cryo-EM maps are limited by the availability of structure templates. Secondary structure traces are lines detected from...

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Autores principales: Maytha Alshammari, Jing He
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/eb148b4b36bc4166b3023e7b1eae5f30
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spelling oai:doaj.org-article:eb148b4b36bc4166b3023e7b1eae5f302021-11-25T18:29:26ZCombining Cryo-EM Density Map and Residue Contact for Protein Secondary Structure Topologies10.3390/molecules262270491420-3049https://doaj.org/article/eb148b4b36bc4166b3023e7b1eae5f302021-11-01T00:00:00Zhttps://www.mdpi.com/1420-3049/26/22/7049https://doaj.org/toc/1420-3049Although atomic structures have been determined directly from cryo-EM density maps with high resolutions, current structure determination methods for medium resolution (5 to 10 Å) cryo-EM maps are limited by the availability of structure templates. Secondary structure traces are lines detected from a cryo-EM density map for α-helices and β-strands of a protein. A topology of secondary structures defines the mapping between a set of sequence segments and a set of traces of secondary structures in three-dimensional space. In order to enhance accuracy in ranking secondary structure topologies, we explored a method that combines three sources of information: a set of sequence segments in 1D, a set of amino acid contact pairs in 2D, and a set of traces in 3D at the secondary structure level. A test of fourteen cases shows that the accuracy of predicted secondary structures is critical for deriving topologies. The use of significant long-range contact pairs is most effective at enriching the rank of the maximum-match topology for proteins with a large number of secondary structures, if the secondary structure prediction is fairly accurate. It was observed that the enrichment depends on the quality of initial topology candidates in this approach. We provide detailed analysis in various cases to show the potential and challenge when combining three sources of information.Maytha AlshammariJing HeMDPI AGarticleprotein structurecryo-electron microscopysecondary structurecontactamino acidtopologyOrganic chemistryQD241-441ENMolecules, Vol 26, Iss 7049, p 7049 (2021)
institution DOAJ
collection DOAJ
language EN
topic protein structure
cryo-electron microscopy
secondary structure
contact
amino acid
topology
Organic chemistry
QD241-441
spellingShingle protein structure
cryo-electron microscopy
secondary structure
contact
amino acid
topology
Organic chemistry
QD241-441
Maytha Alshammari
Jing He
Combining Cryo-EM Density Map and Residue Contact for Protein Secondary Structure Topologies
description Although atomic structures have been determined directly from cryo-EM density maps with high resolutions, current structure determination methods for medium resolution (5 to 10 Å) cryo-EM maps are limited by the availability of structure templates. Secondary structure traces are lines detected from a cryo-EM density map for α-helices and β-strands of a protein. A topology of secondary structures defines the mapping between a set of sequence segments and a set of traces of secondary structures in three-dimensional space. In order to enhance accuracy in ranking secondary structure topologies, we explored a method that combines three sources of information: a set of sequence segments in 1D, a set of amino acid contact pairs in 2D, and a set of traces in 3D at the secondary structure level. A test of fourteen cases shows that the accuracy of predicted secondary structures is critical for deriving topologies. The use of significant long-range contact pairs is most effective at enriching the rank of the maximum-match topology for proteins with a large number of secondary structures, if the secondary structure prediction is fairly accurate. It was observed that the enrichment depends on the quality of initial topology candidates in this approach. We provide detailed analysis in various cases to show the potential and challenge when combining three sources of information.
format article
author Maytha Alshammari
Jing He
author_facet Maytha Alshammari
Jing He
author_sort Maytha Alshammari
title Combining Cryo-EM Density Map and Residue Contact for Protein Secondary Structure Topologies
title_short Combining Cryo-EM Density Map and Residue Contact for Protein Secondary Structure Topologies
title_full Combining Cryo-EM Density Map and Residue Contact for Protein Secondary Structure Topologies
title_fullStr Combining Cryo-EM Density Map and Residue Contact for Protein Secondary Structure Topologies
title_full_unstemmed Combining Cryo-EM Density Map and Residue Contact for Protein Secondary Structure Topologies
title_sort combining cryo-em density map and residue contact for protein secondary structure topologies
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/eb148b4b36bc4166b3023e7b1eae5f30
work_keys_str_mv AT maythaalshammari combiningcryoemdensitymapandresiduecontactforproteinsecondarystructuretopologies
AT jinghe combiningcryoemdensitymapandresiduecontactforproteinsecondarystructuretopologies
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