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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2020
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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 |
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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 |
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