AIMC Topic: NAD

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HEPNet: A Knowledge Base Model of Human Energy Pool Network for Predicting the Energy Availability Status of an Individual.

PloS one Jun 8, 2015
HEPNet is an electronic representation of metabolic reactions occurring within human cellular organization focusing on inflow and outflow of the energy currency ATP, GTP and other energy associated moieties. The backbone of HEPNet consists of primary...
Humans Computer Simulation Reproducibility of Results Glucose Models, Biological Knowledge Bases Adenosine Triphosphate Energy Metabolism Semantics Uremia NAD Acyl Coenzyme A Carnitine Ketoglutaric Acids Phosphocreatine
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NAD_MCNN: Combining Protein Language Models and Multiwindow Convolutional Neural Networks for Deacetylase NAD+ Binding Site Prediction.

Chemical biology & drug design Apr 1, 2025
Sirtuins, a class of NAD+ -dependent deacetylases, play a key role in aging, metabolism, and longevity. Their interaction with NAD+ at the catalytic site is crucial for function, but experimental methods to map NAD+ binding sites are time consuming. ...
Humans Neural Networks, Computer Convolutional Neural Networks Binding Sites NAD Sirtuins
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Rossmann-toolbox: a deep learning-based protocol for the prediction and design of cofactor specificity in Rossmann fold proteins.

Briefings in bioinformatics Jan 17, 2022
The Rossmann fold enzymes are involved in essential biochemical pathways such as nucleotide and amino acid metabolism. Their functioning relies on interaction with cofactors, small nucleoside-based compounds specifically recognized by a conserved βαβ...
Deep Learning Proteins NAD NADP Flavin-Adenine Dinucleotide
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