Emerging experimental and computational methods for studying redox‐regulated structural transitions
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Feed Forward Neural Network Modeling for Rainfall Prediction
Prediction of rainfall data by using Feed Forward Neural Network (FFNN) model is proposed. FFNN is a class of neural network which has three layers for processing. In time series prediction, including in case of rainfall data, the input layer is the past
Hasbi Yasin, Budi Warsito, Rukun Santoso
doaj +1 more source
A mixed incoherent feed-forward loop allows conditional regulation of response dynamics. [PDF]
Expression of the SodA superoxide dismutase (MnSOD) in Escherichia coli is regulated by superoxide concentration through the SoxRS system and also by Fur (Ferric uptake regulator) through a mixed incoherent feed forward loop (FFL) containing the RyhB ...
Szabolcs Semsey
doaj +1 more source
Prospecting the protein design landscape
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Feed-forward control of a building’s heating system
In the heating of buildings during positive dynamics of weather conditions a problem is encountered of air temperature rise in the rooms of the building.
Fomin Valery V.
doaj +1 more source
New Scaled Conjugate Gradient Algorithm for Training Artificial Neural Networks Based on Pure Conjugacy Condition [PDF]
Conjugate gradient methods constitute excellent neural network training methods characterized by their simplicity efficiency and their very low memory requirements.
Khalil K. Abbo, Hind H. Mohamed
doaj +1 more source
Feed Forward Neural Network for Predicting Enantioselectivity of the Asymmetric Negishi Reaction [PDF]
Density functional theory (DFT) has become a popular method to model transition state (TS) energies to predict enantioselectivity, but the associated errors present challenges.
Robert, Crabtree +11 more
core +1 more source
Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola +11 more
wiley +1 more source
Model Error Compensator with Parallel Feed-Forward Filter
Design methods for control systems based on plant models have been developed for many years. If a mathematical model is accurately obtained from the input-output relation of a plant, then the designed controller for the model performs well for the ...
Gou Ichimasa +3 more
doaj +1 more source

