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Structural bioinformatics analysis of free cysteines in protein environments

Cysteine has been considered as a “hydrophilic” amino acid because of its pK(a) and its ability to form (weak) hydrogen bonds. However, cysteines are found mostly in hydrophobic environments, either in S–S (disulphide) form or in free cysteine form. When free cysteines are found on the surface of pr...

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Detalles Bibliográficos
Autores principales: Ho, Sheau Ling, Wang, Andrew H.-J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taiwan Institute of Chemical Engineers. Published by Elsevier Inc. 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102755/
https://www.ncbi.nlm.nih.gov/pubmed/32288881
http://dx.doi.org/10.1016/j.jtice.2008.07.015
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author Ho, Sheau Ling
Wang, Andrew H.-J.
author_facet Ho, Sheau Ling
Wang, Andrew H.-J.
author_sort Ho, Sheau Ling
collection PubMed
description Cysteine has been considered as a “hydrophilic” amino acid because of its pK(a) and its ability to form (weak) hydrogen bonds. However, cysteines are found mostly in hydrophobic environments, either in S–S (disulphide) form or in free cysteine form. When free cysteines are found on the surface of proteins, they are often involved in catalytic residues, as in cysteine proteases, P-loop phosphatases, etc. Additionally, a unique property of cysteines is that their side-chain volume is different from all other amino acids. This study is focused on the discrimination between structural versus active free cysteines based on a local environment analysis which does not appear to have been attempted previously. We have demonstrated the corresponding structural positions associated with free cysteines in their three-dimensional localization environment. We examined protein samples including nine, sequenced, coronavirus proteases and cysteine-rich non-membrane proteins. Our present study shows that the sequential environments of free cysteines of coronavirus proteases are rather hydrophobic and that the free cysteines of non-membrane proteases have a higher amount of contacts to hydrophobic residues and lower amount of contacts to polar or charged residues.
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spelling pubmed-71027552020-03-31 Structural bioinformatics analysis of free cysteines in protein environments Ho, Sheau Ling Wang, Andrew H.-J. J Taiwan Inst Chem Eng Article Cysteine has been considered as a “hydrophilic” amino acid because of its pK(a) and its ability to form (weak) hydrogen bonds. However, cysteines are found mostly in hydrophobic environments, either in S–S (disulphide) form or in free cysteine form. When free cysteines are found on the surface of proteins, they are often involved in catalytic residues, as in cysteine proteases, P-loop phosphatases, etc. Additionally, a unique property of cysteines is that their side-chain volume is different from all other amino acids. This study is focused on the discrimination between structural versus active free cysteines based on a local environment analysis which does not appear to have been attempted previously. We have demonstrated the corresponding structural positions associated with free cysteines in their three-dimensional localization environment. We examined protein samples including nine, sequenced, coronavirus proteases and cysteine-rich non-membrane proteins. Our present study shows that the sequential environments of free cysteines of coronavirus proteases are rather hydrophobic and that the free cysteines of non-membrane proteases have a higher amount of contacts to hydrophobic residues and lower amount of contacts to polar or charged residues. Taiwan Institute of Chemical Engineers. Published by Elsevier Inc. 2009-03 2009-03-14 /pmc/articles/PMC7102755/ /pubmed/32288881 http://dx.doi.org/10.1016/j.jtice.2008.07.015 Text en Copyright © 2008 Taiwan Institute of Chemical Engineers. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Ho, Sheau Ling
Wang, Andrew H.-J.
Structural bioinformatics analysis of free cysteines in protein environments
title Structural bioinformatics analysis of free cysteines in protein environments
title_full Structural bioinformatics analysis of free cysteines in protein environments
title_fullStr Structural bioinformatics analysis of free cysteines in protein environments
title_full_unstemmed Structural bioinformatics analysis of free cysteines in protein environments
title_short Structural bioinformatics analysis of free cysteines in protein environments
title_sort structural bioinformatics analysis of free cysteines in protein environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102755/
https://www.ncbi.nlm.nih.gov/pubmed/32288881
http://dx.doi.org/10.1016/j.jtice.2008.07.015
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