Adding handles to unhandy substrates: anaerobic hydrocarbon activation mechanisms

J Heider - Current Opinion in Chemical Biology, 2007 - Elsevier
In spite of their chemical inertness, hydrocarbons are degraded by microorganisms in the
complete absence of oxygen. As all known aerobic hydrocarbon degradation pathways start …

Ethylbenzene dehydrogenase and related molybdenum enzymes involved in oxygen-independent alkyl chain hydroxylation

J Heider, M Szaleniec, K Suenwoldt… - Journal of Molecular …, 2016 - karger.com
Ethylbenzene dehydrogenase initiates the anaerobic bacterial degradation of ethylbenzene
and propylbenzene. Although the enzyme is currently only known from a few closely related …

Prediction of adsorption energies for chemical species on metal catalyst surfaces using machine learning

AJ Chowdhury, W Yang, E Walker… - The Journal of …, 2018 - ACS Publications
Computational catalyst screening has the potential to significantly accelerate heterogeneous
catalyst discovery. Typically, this involves developing microkinetic reactor models that are …

BN/CC Isosteric Compounds as Enzyme Inhibitors: N‐ and B‐Ethyl‐1,2‐azaborine Inhibit Ethylbenzene Hydroxylation as Nonconvertible Substrate Analogues

DH Knack, JL Marshall, GP Harlow… - Angewandte Chemie …, 2013 - Wiley Online Library
Good substrate gone bad! BN/CC isosterism of ethylbenzene leads to N‐ethyl‐1, 2‐
azaborine and B‐ethyl‐1, 2‐azaborine. In contrast to ethylbenzene, which is the substrate …

A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects

K Cpałka, K Łapa, A Przybył, M Zalasiński - Neurocomputing, 2014 - Elsevier
In this paper we propose a new approach to nonlinear modelling. It uses capabilities ofthe
so-called flexible neuro-fuzzy systems and evolutionary algorithms. The aim of our method is …

Application of regression and neural models to predict competitive swimming performance

A Maszczyk, R Roczniok, M Czuba… - … and Motor Skills, 2012 - journals.sagepub.com
This research problem was indirectly but closely connected with the optimization of an
athlete-selection process, based on predictions viewed as determinants of future successes …

Artificial neural network-genetic algorithm based optimization for the immobilization of cellulase on the smart polymer Eudragit L-100

Y Zhang, J Xu, Z Yuan, H Xu, Q Yu - Bioresource technology, 2010 - Elsevier
Cellulase was covalently immobilized on a smart polymer, Eudragit L-100 by carbodiimide
coupling. Using data of central composite design, response surface methodology (RSM) and …

[HTML][HTML] Artificial neural network modeling studies to predict the yield of enzymatic synthesis of betulinic acid ester

MG Moghaddam, FBH Ahmad, M Basri… - Electronic Journal of …, 2010 - SciELO Chile
Resumen MOGHADDAM, Mansour Ghaffari; AHMAD, Faujan Bin H; BASRI, Mahiran y
RAHMAN, Mohd Basyaruddin Abdul. Artificial neural network modeling studies to predict the …

EMG analysis and modelling of flat bench press using artificial neural networks

A Maszczyk, A Gołaś, M Czuba, H Krol, M Wilk… - South African Journal for …, 2016 - ajol.info
The objective of this study was to evaluate the contribution of particular muscle groups
during the Flat Bench Press (FBP) with different external loads. Additionally, the authors …

Kinetics and mechanism of oxygen-independent hydrocarbon hydroxylation by ethylbenzene dehydrogenase

M Szaleniec, C Hagel, M Menke, P Nowak, M Witko… - Biochemistry, 2007 - ACS Publications
Ethylbenzene dehydrogenase (EBDH) from the denitrifying bacterium Azoarcus sp. strain
EbN1 (to be renamed Aromatoleum aromaticum) catalyzes the oxygen-independent …