Functional coverage of the human genome by existing structures, structural genomics targets, and homology models.

The bias in protein structure and function space resulting from experimental limitations and targeting of particular functional classes of proteins by structural biologists has long been recognized, but never continuously quantified. Using the Enzyme Commission and the Gene Ontology classifications...

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Main Authors: Lei Xie, Philip E Bourne
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2005-08-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC1188274?pdf=render
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author Lei Xie
Philip E Bourne
author_facet Lei Xie
Philip E Bourne
author_sort Lei Xie
collection DOAJ
description The bias in protein structure and function space resulting from experimental limitations and targeting of particular functional classes of proteins by structural biologists has long been recognized, but never continuously quantified. Using the Enzyme Commission and the Gene Ontology classifications as a reference frame, and integrating structure data from the Protein Data Bank (PDB), target sequences from the structural genomics projects, structure homology derived from the SUPERFAMILY database, and genome annotations from Ensembl and NCBI, we provide a quantified view, both at the domain and whole-protein levels, of the current and projected coverage of protein structure and function space relative to the human genome. Protein structures currently provide at least one domain that covers 37% of the functional classes identified in the genome; whole structure coverage exists for 25% of the genome. If all the structural genomics targets were solved (twice the current number of structures in the PDB), it is estimated that structures of one domain would cover 69% of the functional classes identified and complete structure coverage would be 44%. Homology models from existing experimental structures extend the 37% coverage to 56% of the genome as single domains and 25% to 31% for complete structures. Coverage from homology models is not evenly distributed by protein family, reflecting differing degrees of sequence and structure divergence within families. While these data provide coverage, conversely, they also systematically highlight functional classes of proteins for which structures should be determined. Current key functional families without structure representation are highlighted here; updated information on the "most wanted list" that should be solved is available on a weekly basis from http://function.rcsb.org:8080/pdb/function_distribution/index.html.
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spelling doaj.art-d9196d0bb7374745a0d37a6948d6742b2022-12-21T18:38:39ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582005-08-0113e3110.1371/journal.pcbi.0010031Functional coverage of the human genome by existing structures, structural genomics targets, and homology models.Lei XiePhilip E BourneThe bias in protein structure and function space resulting from experimental limitations and targeting of particular functional classes of proteins by structural biologists has long been recognized, but never continuously quantified. Using the Enzyme Commission and the Gene Ontology classifications as a reference frame, and integrating structure data from the Protein Data Bank (PDB), target sequences from the structural genomics projects, structure homology derived from the SUPERFAMILY database, and genome annotations from Ensembl and NCBI, we provide a quantified view, both at the domain and whole-protein levels, of the current and projected coverage of protein structure and function space relative to the human genome. Protein structures currently provide at least one domain that covers 37% of the functional classes identified in the genome; whole structure coverage exists for 25% of the genome. If all the structural genomics targets were solved (twice the current number of structures in the PDB), it is estimated that structures of one domain would cover 69% of the functional classes identified and complete structure coverage would be 44%. Homology models from existing experimental structures extend the 37% coverage to 56% of the genome as single domains and 25% to 31% for complete structures. Coverage from homology models is not evenly distributed by protein family, reflecting differing degrees of sequence and structure divergence within families. While these data provide coverage, conversely, they also systematically highlight functional classes of proteins for which structures should be determined. Current key functional families without structure representation are highlighted here; updated information on the "most wanted list" that should be solved is available on a weekly basis from http://function.rcsb.org:8080/pdb/function_distribution/index.html.http://europepmc.org/articles/PMC1188274?pdf=render
spellingShingle Lei Xie
Philip E Bourne
Functional coverage of the human genome by existing structures, structural genomics targets, and homology models.
PLoS Computational Biology
title Functional coverage of the human genome by existing structures, structural genomics targets, and homology models.
title_full Functional coverage of the human genome by existing structures, structural genomics targets, and homology models.
title_fullStr Functional coverage of the human genome by existing structures, structural genomics targets, and homology models.
title_full_unstemmed Functional coverage of the human genome by existing structures, structural genomics targets, and homology models.
title_short Functional coverage of the human genome by existing structures, structural genomics targets, and homology models.
title_sort functional coverage of the human genome by existing structures structural genomics targets and homology models
url http://europepmc.org/articles/PMC1188274?pdf=render
work_keys_str_mv AT leixie functionalcoverageofthehumangenomebyexistingstructuresstructuralgenomicstargetsandhomologymodels
AT philipebourne functionalcoverageofthehumangenomebyexistingstructuresstructuralgenomicstargetsandhomologymodels