Cargando…

The search of sequence variants using a constrained protein evolution simulation approach

Protein engineering or candidate therapeutic peptide optimization are processes in which the identification of relevant sequence variants is critical. Starting from one amino-acid sequence, the choice of the substitutions must meet the objective of not disrupting the structure of the protein, not im...

Descripción completa

Detalles Bibliográficos
Autores principales: Tufféry, Pierre, de Vries, Sjoerd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355721/
https://www.ncbi.nlm.nih.gov/pubmed/32695271
http://dx.doi.org/10.1016/j.csbj.2020.06.018
_version_ 1783558341846368256
author Tufféry, Pierre
de Vries, Sjoerd
author_facet Tufféry, Pierre
de Vries, Sjoerd
author_sort Tufféry, Pierre
collection PubMed
description Protein engineering or candidate therapeutic peptide optimization are processes in which the identification of relevant sequence variants is critical. Starting from one amino-acid sequence, the choice of the substitutions must meet the objective of not disrupting the structure of the protein, not impacting the main functional properties of the starting entity, while also meeting the condition to enhance some expected property such as thermal stability, resistance to degradation, … Here, we introduce a new approach of sequence evolution that focuses on the objective of not disrupting the structure of the initial protein by embedding a point to point control on the preservation of the local structure at each position in the sequence. For 6 mini-proteins, we find that, starting from a single sequence, our simple approach intrinsically contains information about site-specific rate heterogeneity of substitution, and that it is able to reproduce sequence diversity as can be observed in the sequences available in the Uniref repository. We show that our approach is able to provide information about positions not to substitute and about substitutions not to perform at a given position to maintain structure integrity. Overall, our results demonstrate that point to point preservation of the local structure along a sequence is an important determinant of sequence evolution.
format Online
Article
Text
id pubmed-7355721
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Research Network of Computational and Structural Biotechnology
record_format MEDLINE/PubMed
spelling pubmed-73557212020-07-20 The search of sequence variants using a constrained protein evolution simulation approach Tufféry, Pierre de Vries, Sjoerd Comput Struct Biotechnol J Research Article Protein engineering or candidate therapeutic peptide optimization are processes in which the identification of relevant sequence variants is critical. Starting from one amino-acid sequence, the choice of the substitutions must meet the objective of not disrupting the structure of the protein, not impacting the main functional properties of the starting entity, while also meeting the condition to enhance some expected property such as thermal stability, resistance to degradation, … Here, we introduce a new approach of sequence evolution that focuses on the objective of not disrupting the structure of the initial protein by embedding a point to point control on the preservation of the local structure at each position in the sequence. For 6 mini-proteins, we find that, starting from a single sequence, our simple approach intrinsically contains information about site-specific rate heterogeneity of substitution, and that it is able to reproduce sequence diversity as can be observed in the sequences available in the Uniref repository. We show that our approach is able to provide information about positions not to substitute and about substitutions not to perform at a given position to maintain structure integrity. Overall, our results demonstrate that point to point preservation of the local structure along a sequence is an important determinant of sequence evolution. Research Network of Computational and Structural Biotechnology 2020-06-17 /pmc/articles/PMC7355721/ /pubmed/32695271 http://dx.doi.org/10.1016/j.csbj.2020.06.018 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Tufféry, Pierre
de Vries, Sjoerd
The search of sequence variants using a constrained protein evolution simulation approach
title The search of sequence variants using a constrained protein evolution simulation approach
title_full The search of sequence variants using a constrained protein evolution simulation approach
title_fullStr The search of sequence variants using a constrained protein evolution simulation approach
title_full_unstemmed The search of sequence variants using a constrained protein evolution simulation approach
title_short The search of sequence variants using a constrained protein evolution simulation approach
title_sort search of sequence variants using a constrained protein evolution simulation approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355721/
https://www.ncbi.nlm.nih.gov/pubmed/32695271
http://dx.doi.org/10.1016/j.csbj.2020.06.018
work_keys_str_mv AT tufferypierre thesearchofsequencevariantsusingaconstrainedproteinevolutionsimulationapproach
AT devriessjoerd thesearchofsequencevariantsusingaconstrainedproteinevolutionsimulationapproach
AT tufferypierre searchofsequencevariantsusingaconstrainedproteinevolutionsimulationapproach
AT devriessjoerd searchofsequencevariantsusingaconstrainedproteinevolutionsimulationapproach