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Electrostatic recognition in substrate binding to serine proteases
Serine proteases of the Chymotrypsin family are structurally very similar but have very different substrate preferences. This study investigates a set of 9 different proteases of this family comprising proteases that prefer substrates containing positively charged amino acids, negatively charged ami...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175425/ https://www.ncbi.nlm.nih.gov/pubmed/29785722 http://dx.doi.org/10.1002/jmr.2727 |
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author | Waldner, Birgit J. Kraml, Johannes Kahler, Ursula Spinn, Alexander Schauperl, Michael Podewitz, Maren Fuchs, Julian E. Cruciani, Gabriele Liedl, Klaus R. |
author_facet | Waldner, Birgit J. Kraml, Johannes Kahler, Ursula Spinn, Alexander Schauperl, Michael Podewitz, Maren Fuchs, Julian E. Cruciani, Gabriele Liedl, Klaus R. |
author_sort | Waldner, Birgit J. |
collection | PubMed |
description | Serine proteases of the Chymotrypsin family are structurally very similar but have very different substrate preferences. This study investigates a set of 9 different proteases of this family comprising proteases that prefer substrates containing positively charged amino acids, negatively charged amino acids, and uncharged amino acids with varying degree of specificity. Here, we show that differences in electrostatic substrate preferences can be predicted reliably by electrostatic molecular interaction fields employing customized GRID probes. Thus, we are able to directly link protease structures to their electrostatic substrate preferences. Additionally, we present a new metric that measures similarities in substrate preferences focusing only on electrostatics. It efficiently compares these electrostatic substrate preferences between different proteases. This new metric can be interpreted as the electrostatic part of our previously developed substrate similarity metric. Consequently, we suggest, that substrate recognition in terms of electrostatics and shape complementarity are rather orthogonal aspects of substrate recognition. This is in line with a 2‐step mechanism of protein‐protein recognition suggested in the literature. |
format | Online Article Text |
id | pubmed-6175425 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-61754252018-10-19 Electrostatic recognition in substrate binding to serine proteases Waldner, Birgit J. Kraml, Johannes Kahler, Ursula Spinn, Alexander Schauperl, Michael Podewitz, Maren Fuchs, Julian E. Cruciani, Gabriele Liedl, Klaus R. J Mol Recognit Research Articles Serine proteases of the Chymotrypsin family are structurally very similar but have very different substrate preferences. This study investigates a set of 9 different proteases of this family comprising proteases that prefer substrates containing positively charged amino acids, negatively charged amino acids, and uncharged amino acids with varying degree of specificity. Here, we show that differences in electrostatic substrate preferences can be predicted reliably by electrostatic molecular interaction fields employing customized GRID probes. Thus, we are able to directly link protease structures to their electrostatic substrate preferences. Additionally, we present a new metric that measures similarities in substrate preferences focusing only on electrostatics. It efficiently compares these electrostatic substrate preferences between different proteases. This new metric can be interpreted as the electrostatic part of our previously developed substrate similarity metric. Consequently, we suggest, that substrate recognition in terms of electrostatics and shape complementarity are rather orthogonal aspects of substrate recognition. This is in line with a 2‐step mechanism of protein‐protein recognition suggested in the literature. John Wiley and Sons Inc. 2018-05-22 2018-10 /pmc/articles/PMC6175425/ /pubmed/29785722 http://dx.doi.org/10.1002/jmr.2727 Text en © 2018 The Authors Journal of Molecular Recognition Published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Waldner, Birgit J. Kraml, Johannes Kahler, Ursula Spinn, Alexander Schauperl, Michael Podewitz, Maren Fuchs, Julian E. Cruciani, Gabriele Liedl, Klaus R. Electrostatic recognition in substrate binding to serine proteases |
title | Electrostatic recognition in substrate binding to serine proteases |
title_full | Electrostatic recognition in substrate binding to serine proteases |
title_fullStr | Electrostatic recognition in substrate binding to serine proteases |
title_full_unstemmed | Electrostatic recognition in substrate binding to serine proteases |
title_short | Electrostatic recognition in substrate binding to serine proteases |
title_sort | electrostatic recognition in substrate binding to serine proteases |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175425/ https://www.ncbi.nlm.nih.gov/pubmed/29785722 http://dx.doi.org/10.1002/jmr.2727 |
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