From d627bbcffa68abc9e01412bea7626b959b0de52f Mon Sep 17 00:00:00 2001 From: Daniel Weindl Date: Tue, 10 Sep 2024 07:55:27 +0200 Subject: [PATCH] JakstaiteZho2024 --- documentation/amici_refs.bib | 13 +++++++++++++ documentation/references.md | 8 +++++++- 2 files changed, 20 insertions(+), 1 deletion(-) diff --git a/documentation/amici_refs.bib b/documentation/amici_refs.bib index ca23505a2d..49da6efa30 100644 --- a/documentation/amici_refs.bib +++ b/documentation/amici_refs.bib @@ -1390,6 +1390,19 @@ @Article{SchmiesterBra2024 url = {https://doi.org/10.1158/1078-0432.CCR-24-0244}, } +@Article{JakstaiteZho2024, + author = {Jakštaitė, ‪Miglė and Zhou, Tao and Nelissen, Frank and Huck, Wilhelm T.S. and van Sluijs, Bob}, + title = {Active learning maps the emergent dynamics of enzymatic reaction networks.}, + year = {2024}, + month = aug, + abstract = {The dynamic properties of enzymatic reaction networks (ERNs) are difficult to predict due to the emergence of allosteric interactions, product inhibitions and the competition for resources, that all only materialize once the networks have been assembled. Combining experimental kinetics studies with computational modelling allows us to extract information on these emergent dynamic properties and build predictive models. Here, we utilized the pentose phosphate pathway to demonstrate that previously reported approaches to construct maximally informative datasets can be significantly improved by pulsing both enzymes and substrates into microfluidic flow reactors (instead of substrates only). Our method augments information available from online databases, to map the emergent dynamic behaviours of a network.}, + creationdate = {2024-09-10T07:54:04}, + doi = {10.26434/chemrxiv-2024-vxfkz}, + keywords = {Enzymatic reaction networks, optimal design, microfluidics, pentose phosphate pathway, emergent dynamics, biocatalysis, flow reactors, maximally informative data, kinetic modeling}, + modificationdate = {2024-09-10T07:54:20}, + publisher = {American Chemical Society (ACS)}, +} + @Comment{jabref-meta: databaseType:bibtex;} @Comment{jabref-meta: grouping: diff --git a/documentation/references.md b/documentation/references.md index 26dc5c36ea..d58c6fc2ff 100644 --- a/documentation/references.md +++ b/documentation/references.md @@ -1,6 +1,6 @@ # References -List of publications using AMICI. Total number is 91. +List of publications using AMICI. Total number is 92. If you applied AMICI in your work and your publication is missing, please let us know via a new [GitHub issue](https://github.com/AMICI-dev/AMICI/issues/new?labels=documentation&title=Add+publication&body=AMICI+was+used+in+this+manuscript:+DOI). @@ -36,6 +36,12 @@ Network by Ion Mobility–Mass Spectrometry.” Journal of the American Chemical Society 146 (30): 20778–87. https://doi.org/10.1021/jacs.4c04218. +
+Jakštaitė, ‪Miglė, Tao Zhou, Frank Nelissen, Wilhelm T. S. Huck, and Bob +van Sluijs. 2024. “Active Learning Maps the Emergent Dynamics of +Enzymatic Reaction Networks.” August. https://doi.org/10.26434/chemrxiv-2024-vxfkz. +
Kiss, Anna E, Anuroop V Venkatasubramani, Dilan Pathirana, Silke Krause, Aline Campos Sparr, Jan Hasenauer, Axel Imhof, Marisa Müller, and Peter