Cargando…
SCOPe: improvements to the structural classification of proteins – extended database to facilitate variant interpretation and machine learning
The Structural Classification of Proteins—extended (SCOPe, https://scop.berkeley.edu) knowledgebase aims to provide an accurate, detailed, and comprehensive description of the structural and evolutionary relationships amongst the majority of proteins of known structure, along with resources for anal...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728185/ https://www.ncbi.nlm.nih.gov/pubmed/34850923 http://dx.doi.org/10.1093/nar/gkab1054 |
_version_ | 1784626679524622336 |
---|---|
author | Chandonia, John-Marc Guan, Lindsey Lin, Shiangyi Yu, Changhua Fox, Naomi K Brenner, Steven E |
author_facet | Chandonia, John-Marc Guan, Lindsey Lin, Shiangyi Yu, Changhua Fox, Naomi K Brenner, Steven E |
author_sort | Chandonia, John-Marc |
collection | PubMed |
description | The Structural Classification of Proteins—extended (SCOPe, https://scop.berkeley.edu) knowledgebase aims to provide an accurate, detailed, and comprehensive description of the structural and evolutionary relationships amongst the majority of proteins of known structure, along with resources for analyzing the protein structures and their sequences. Structures from the PDB are divided into domains and classified using a combination of manual curation and highly precise automated methods. In the current release of SCOPe, 2.08, we have developed search and display tools for analysis of genetic variants we mapped to structures classified in SCOPe. In order to improve the utility of SCOPe to automated methods such as deep learning classifiers that rely on multiple alignment of sequences of homologous proteins, we have introduced new machine-parseable annotations that indicate aberrant structures as well as domains that are distinguished by a smaller repeat unit. We also classified structures from 74 of the largest Pfam families not previously classified in SCOPe, and we improved our algorithm to remove N- and C-terminal cloning, expression and purification sequences from SCOPe domains. SCOPe 2.08-stable classifies 106 976 PDB entries (about 60% of PDB entries). |
format | Online Article Text |
id | pubmed-8728185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87281852022-01-05 SCOPe: improvements to the structural classification of proteins – extended database to facilitate variant interpretation and machine learning Chandonia, John-Marc Guan, Lindsey Lin, Shiangyi Yu, Changhua Fox, Naomi K Brenner, Steven E Nucleic Acids Res Database Issue The Structural Classification of Proteins—extended (SCOPe, https://scop.berkeley.edu) knowledgebase aims to provide an accurate, detailed, and comprehensive description of the structural and evolutionary relationships amongst the majority of proteins of known structure, along with resources for analyzing the protein structures and their sequences. Structures from the PDB are divided into domains and classified using a combination of manual curation and highly precise automated methods. In the current release of SCOPe, 2.08, we have developed search and display tools for analysis of genetic variants we mapped to structures classified in SCOPe. In order to improve the utility of SCOPe to automated methods such as deep learning classifiers that rely on multiple alignment of sequences of homologous proteins, we have introduced new machine-parseable annotations that indicate aberrant structures as well as domains that are distinguished by a smaller repeat unit. We also classified structures from 74 of the largest Pfam families not previously classified in SCOPe, and we improved our algorithm to remove N- and C-terminal cloning, expression and purification sequences from SCOPe domains. SCOPe 2.08-stable classifies 106 976 PDB entries (about 60% of PDB entries). Oxford University Press 2021-12-01 /pmc/articles/PMC8728185/ /pubmed/34850923 http://dx.doi.org/10.1093/nar/gkab1054 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Chandonia, John-Marc Guan, Lindsey Lin, Shiangyi Yu, Changhua Fox, Naomi K Brenner, Steven E SCOPe: improvements to the structural classification of proteins – extended database to facilitate variant interpretation and machine learning |
title | SCOPe: improvements to the structural classification of proteins – extended database to facilitate variant interpretation and machine learning |
title_full | SCOPe: improvements to the structural classification of proteins – extended database to facilitate variant interpretation and machine learning |
title_fullStr | SCOPe: improvements to the structural classification of proteins – extended database to facilitate variant interpretation and machine learning |
title_full_unstemmed | SCOPe: improvements to the structural classification of proteins – extended database to facilitate variant interpretation and machine learning |
title_short | SCOPe: improvements to the structural classification of proteins – extended database to facilitate variant interpretation and machine learning |
title_sort | scope: improvements to the structural classification of proteins – extended database to facilitate variant interpretation and machine learning |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728185/ https://www.ncbi.nlm.nih.gov/pubmed/34850923 http://dx.doi.org/10.1093/nar/gkab1054 |
work_keys_str_mv | AT chandoniajohnmarc scopeimprovementstothestructuralclassificationofproteinsextendeddatabasetofacilitatevariantinterpretationandmachinelearning AT guanlindsey scopeimprovementstothestructuralclassificationofproteinsextendeddatabasetofacilitatevariantinterpretationandmachinelearning AT linshiangyi scopeimprovementstothestructuralclassificationofproteinsextendeddatabasetofacilitatevariantinterpretationandmachinelearning AT yuchanghua scopeimprovementstothestructuralclassificationofproteinsextendeddatabasetofacilitatevariantinterpretationandmachinelearning AT foxnaomik scopeimprovementstothestructuralclassificationofproteinsextendeddatabasetofacilitatevariantinterpretationandmachinelearning AT brennerstevene scopeimprovementstothestructuralclassificationofproteinsextendeddatabasetofacilitatevariantinterpretationandmachinelearning |