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A comparative analysis of viral matrix proteins using disorder predictors

BACKGROUND: A previous study (Goh G.K.-M., Dunker A.K., Uversky V.N. (2008) Protein intrinsic disorder toolbox for comparative analysis of viral proteins. BMC Genomics. 9 (Suppl. 2), S4) revealed that HIV matrix protein p17 possesses especially high levels of predicted intrinsic disorder (PID). In t...

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Autores principales: Goh, Gerard Kian-Meng, Dunker, A Keith, Uversky, Vladimir N
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2579295/
https://www.ncbi.nlm.nih.gov/pubmed/18947403
http://dx.doi.org/10.1186/1743-422X-5-126
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author Goh, Gerard Kian-Meng
Dunker, A Keith
Uversky, Vladimir N
author_facet Goh, Gerard Kian-Meng
Dunker, A Keith
Uversky, Vladimir N
author_sort Goh, Gerard Kian-Meng
collection PubMed
description BACKGROUND: A previous study (Goh G.K.-M., Dunker A.K., Uversky V.N. (2008) Protein intrinsic disorder toolbox for comparative analysis of viral proteins. BMC Genomics. 9 (Suppl. 2), S4) revealed that HIV matrix protein p17 possesses especially high levels of predicted intrinsic disorder (PID). In this study, we analyzed the PID patterns in matrix proteins of viruses related and unrelated to HIV-1. RESULTS: Both SIV(mac )and HIV-1 p17 proteins were predicted by PONDR VLXT to be highly disordered with subtle differences containing 50% and 60% disordered residues, respectively. SIV(mac )is very closely related to HIV-2. A specific region that is predicted to be disordered in HIV-1 is missing in SIV(mac). The distributions of PID patterns seem to differ in SIV(mac )and HIV-1 p17 proteins. A high level of PID for the matrix does not seem to be mandatory for retroviruses, since Equine Infectious Anemia Virus (EIAV), an HIV cousin, has been predicted to have low PID level for the matrix; i.e. its matrix protein p15 contains only 21% PID residues. Surprisingly, the PID percentage and the pattern of predicted disorder distribution for p15 resemble those of the influenza matrix protein M1 (25%). CONCLUSION: Our data might have important implications in the search for HIV vaccines since disorder in the matrix protein might provide a mechanism for immune evasion.
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spelling pubmed-25792952008-11-05 A comparative analysis of viral matrix proteins using disorder predictors Goh, Gerard Kian-Meng Dunker, A Keith Uversky, Vladimir N Virol J Research BACKGROUND: A previous study (Goh G.K.-M., Dunker A.K., Uversky V.N. (2008) Protein intrinsic disorder toolbox for comparative analysis of viral proteins. BMC Genomics. 9 (Suppl. 2), S4) revealed that HIV matrix protein p17 possesses especially high levels of predicted intrinsic disorder (PID). In this study, we analyzed the PID patterns in matrix proteins of viruses related and unrelated to HIV-1. RESULTS: Both SIV(mac )and HIV-1 p17 proteins were predicted by PONDR VLXT to be highly disordered with subtle differences containing 50% and 60% disordered residues, respectively. SIV(mac )is very closely related to HIV-2. A specific region that is predicted to be disordered in HIV-1 is missing in SIV(mac). The distributions of PID patterns seem to differ in SIV(mac )and HIV-1 p17 proteins. A high level of PID for the matrix does not seem to be mandatory for retroviruses, since Equine Infectious Anemia Virus (EIAV), an HIV cousin, has been predicted to have low PID level for the matrix; i.e. its matrix protein p15 contains only 21% PID residues. Surprisingly, the PID percentage and the pattern of predicted disorder distribution for p15 resemble those of the influenza matrix protein M1 (25%). CONCLUSION: Our data might have important implications in the search for HIV vaccines since disorder in the matrix protein might provide a mechanism for immune evasion. BioMed Central 2008-10-23 /pmc/articles/PMC2579295/ /pubmed/18947403 http://dx.doi.org/10.1186/1743-422X-5-126 Text en Copyright © 2008 Goh et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Goh, Gerard Kian-Meng
Dunker, A Keith
Uversky, Vladimir N
A comparative analysis of viral matrix proteins using disorder predictors
title A comparative analysis of viral matrix proteins using disorder predictors
title_full A comparative analysis of viral matrix proteins using disorder predictors
title_fullStr A comparative analysis of viral matrix proteins using disorder predictors
title_full_unstemmed A comparative analysis of viral matrix proteins using disorder predictors
title_short A comparative analysis of viral matrix proteins using disorder predictors
title_sort comparative analysis of viral matrix proteins using disorder predictors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2579295/
https://www.ncbi.nlm.nih.gov/pubmed/18947403
http://dx.doi.org/10.1186/1743-422X-5-126
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