Results 51 to 60 of about 254,055 (254)

Modeling dynamics of chemical reaction networks using electrical analogs: Application to autocatalytic reactions

open access: yesChemical Engineering Journal Advances, 2022
Modeling complex chemical reaction networks has inspired a considerable body of research and a variety of approaches to modeling nonlinear pathways are being developed.
Sarang S. Nath, John Villadsen
doaj   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

open access: yesFEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa   +5 more
wiley   +1 more source

Clustering under the line graph transformation: application to reaction network

open access: yesBMC Bioinformatics, 2004
Background Many real networks can be understood as two complementary networks with two kind of nodes. This is the case of metabolic networks where the first network has chemical compounds as nodes and the second one has nodes as reactions.
Kanehisa Minoru   +4 more
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Delay Line as a Chemical Reaction Network [PDF]

open access: yesParallel Processing Letters, 2015
Chemistry as an unconventional computing medium presently lacks a systematic approach to gather, store, and sort data over time. To build more complicated systems in chemistries, the ability to look at data in the past would be a valuable tool to perform complex calculations.
Josh Moles   +2 more
openaire   +3 more sources

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

open access: yesFEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura   +2 more
wiley   +1 more source

Improving Chemical Reaction Prediction with Unlabeled Data

open access: yesMolecules, 2022
Predicting products of organic chemical reactions is useful in chemical sciences, especially when one or more reactants are new organics. However, the performance of traditional learning models heavily relies on high-quality labeled data.
Yu Xie   +4 more
doaj   +1 more source

Defining Autocatalysis in Chemical Reaction Networks

open access: yesCoRR, 2020
Autocatalysis is a deceptively simple concept, referring to the situation that a chemical species $X$ catalyzes its own formation. From the perspective of chemical kinetics, autocatalysts show a regime of super-linear growth. Given a chemical reaction network, however, it is not at all straightforward to identify species that are autocatalytic in the ...
Andersen, Jakob L.   +3 more
openaire   +3 more sources

Linear conjugacy of chemical reaction networks [PDF]

open access: yesJournal of Mathematical Chemistry, 2011
26 ...
Johnston, Matthew D., Siegel, David
openaire   +2 more sources

Differentiable Programming of Chemical Reaction Networks

open access: yesCoRR, 2023
We present a differentiable formulation of abstract chemical reaction networks (CRNs) that can be trained to solve a variety of computational tasks. Chemical reaction networks are one of the most fundamental computational substrates used by nature.
Alexander Mordvintsev   +2 more
openaire   +2 more sources

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