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Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies
Nanobodies (VHHs) have proved to be valuable substitutes of conventional antibodies for molecular recognition. Their small size represents a precious advantage for rational mutagenesis based on modelling. Here we address the problem of predicting how Camelidae nanobody sequences can tolerate mutatio...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056509/ https://www.ncbi.nlm.nih.gov/pubmed/27721441 http://dx.doi.org/10.1038/srep34869 |
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author | Soler, Miguel A. de Marco, Ario Fortuna, Sara |
author_facet | Soler, Miguel A. de Marco, Ario Fortuna, Sara |
author_sort | Soler, Miguel A. |
collection | PubMed |
description | Nanobodies (VHHs) have proved to be valuable substitutes of conventional antibodies for molecular recognition. Their small size represents a precious advantage for rational mutagenesis based on modelling. Here we address the problem of predicting how Camelidae nanobody sequences can tolerate mutations by developing a simulation protocol based on all-atom molecular dynamics and whole-molecule docking. The method was tested on two sets of nanobodies characterized experimentally for their biophysical features. One set contained point mutations introduced to humanize a wild type sequence, in the second the CDRs were swapped between single-domain frameworks with Camelidae and human hallmarks. The method resulted in accurate scoring approaches to predict experimental yields and enabled to identify the structural modifications induced by mutations. This work is a promising tool for the in silico development of single-domain antibodies and opens the opportunity to customize single functional domains of larger macromolecules. |
format | Online Article Text |
id | pubmed-5056509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50565092016-10-19 Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies Soler, Miguel A. de Marco, Ario Fortuna, Sara Sci Rep Article Nanobodies (VHHs) have proved to be valuable substitutes of conventional antibodies for molecular recognition. Their small size represents a precious advantage for rational mutagenesis based on modelling. Here we address the problem of predicting how Camelidae nanobody sequences can tolerate mutations by developing a simulation protocol based on all-atom molecular dynamics and whole-molecule docking. The method was tested on two sets of nanobodies characterized experimentally for their biophysical features. One set contained point mutations introduced to humanize a wild type sequence, in the second the CDRs were swapped between single-domain frameworks with Camelidae and human hallmarks. The method resulted in accurate scoring approaches to predict experimental yields and enabled to identify the structural modifications induced by mutations. This work is a promising tool for the in silico development of single-domain antibodies and opens the opportunity to customize single functional domains of larger macromolecules. Nature Publishing Group 2016-10-10 /pmc/articles/PMC5056509/ /pubmed/27721441 http://dx.doi.org/10.1038/srep34869 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Soler, Miguel A. de Marco, Ario Fortuna, Sara Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies |
title | Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies |
title_full | Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies |
title_fullStr | Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies |
title_full_unstemmed | Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies |
title_short | Molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies |
title_sort | molecular dynamics simulations and docking enable to explore the biophysical factors controlling the yields of engineered nanobodies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5056509/ https://www.ncbi.nlm.nih.gov/pubmed/27721441 http://dx.doi.org/10.1038/srep34869 |
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