Annotating Putative D. discoideum Proteins Using I-TASSER

Using Gene Ontology annotation in any aspect or using any evidence code, we found that approximately 14% percent of predicted D. discoideum proteins have no GO annotations and no obvious similarity to any annotated protein across diverse organisms. We have been systematically examining these unannot...

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Detalles Bibliográficos
Autores principales: McCullough, Jacquelyn, Fey, Petra, Rahman, Ryan J., Wallace, Morgan, Morey, Seeta, Sahlberg, Kyle, McGonagle, Ethan, Hess, Danielle, Hatfield, Chance, Sarmiento, Michaela-Romina, Velasquez, Jordi, Gomer, Richard H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Caltech Library 2021
Materias:
New Finding
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280847/
https://www.ncbi.nlm.nih.gov/pubmed/34278246
http://dx.doi.org/10.17912/micropub.biology.000420
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author McCullough, Jacquelyn
Fey, Petra
Rahman, Ryan J.
Wallace, Morgan
Morey, Seeta
Sahlberg, Kyle
McGonagle, Ethan
Hess, Danielle
Hatfield, Chance
Sarmiento, Michaela-Romina
Velasquez, Jordi
Gomer, Richard H.
author_facet McCullough, Jacquelyn
Fey, Petra
Rahman, Ryan J.
Wallace, Morgan
Morey, Seeta
Sahlberg, Kyle
McGonagle, Ethan
Hess, Danielle
Hatfield, Chance
Sarmiento, Michaela-Romina
Velasquez, Jordi
Gomer, Richard H.
author_sort McCullough, Jacquelyn
collection PubMed
description Using Gene Ontology annotation in any aspect or using any evidence code, we found that approximately 14% percent of predicted D. discoideum proteins have no GO annotations and no obvious similarity to any annotated protein across diverse organisms. We have been systematically examining these unannotated protein sequences using software that predicts a protein structure and then compares the predicted structure to known structures.
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spelling pubmed-82808472021-07-16 Annotating Putative D. discoideum Proteins Using I-TASSER McCullough, Jacquelyn Fey, Petra Rahman, Ryan J. Wallace, Morgan Morey, Seeta Sahlberg, Kyle McGonagle, Ethan Hess, Danielle Hatfield, Chance Sarmiento, Michaela-Romina Velasquez, Jordi Gomer, Richard H. MicroPubl Biol New Finding Using Gene Ontology annotation in any aspect or using any evidence code, we found that approximately 14% percent of predicted D. discoideum proteins have no GO annotations and no obvious similarity to any annotated protein across diverse organisms. We have been systematically examining these unannotated protein sequences using software that predicts a protein structure and then compares the predicted structure to known structures. Caltech Library 2021-07-14 /pmc/articles/PMC8280847/ /pubmed/34278246 http://dx.doi.org/10.17912/micropub.biology.000420 Text en Copyright: © 2021 by the authors https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle New Finding
McCullough, Jacquelyn
Fey, Petra
Rahman, Ryan J.
Wallace, Morgan
Morey, Seeta
Sahlberg, Kyle
McGonagle, Ethan
Hess, Danielle
Hatfield, Chance
Sarmiento, Michaela-Romina
Velasquez, Jordi
Gomer, Richard H.
Annotating Putative D. discoideum Proteins Using I-TASSER
title Annotating Putative D. discoideum Proteins Using I-TASSER
title_full Annotating Putative D. discoideum Proteins Using I-TASSER
title_fullStr Annotating Putative D. discoideum Proteins Using I-TASSER
title_full_unstemmed Annotating Putative D. discoideum Proteins Using I-TASSER
title_short Annotating Putative D. discoideum Proteins Using I-TASSER
title_sort annotating putative d. discoideum proteins using i-tasser
topic New Finding
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8280847/
https://www.ncbi.nlm.nih.gov/pubmed/34278246
http://dx.doi.org/10.17912/micropub.biology.000420
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