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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...

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Autores principales: Waldner, Birgit J., Kraml, Johannes, Kahler, Ursula, Spinn, Alexander, Schauperl, Michael, Podewitz, Maren, Fuchs, Julian E., Cruciani, Gabriele, Liedl, Klaus R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
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.
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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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