Sengupta2015 - Knowledge base model of human energy pool network (HEPNet)

ABSTRACT:

Sengupta2015 - Knowledge base model of humanenergy pool network (HEPNet)

This model is described in the article:

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

Sengupta A, Grover M, Chakraborty A, Saxena S.

PLoS ONE 2015; 10(6): e0127918

Abstract:

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 bio-molecules such as carbohydrates, proteins and fats which ultimately constitute the chief source for the synthesis and obliteration of energy currencies in a cell. A series of biochemical pathways and reactions constituting the catabolism and anabolism of various metabolites are portrayed through cellular compartmentalization. The depicted pathways function synchronously toward an overarching goal of producing ATP and other energy associated moieties to bring into play a variety of cellular functions. HEPNet is manually curated with raw data from experiments and is also connected to KEGG and Reactome databases. This model has been validated by simulating it with physiological states like fasting, starvation, exercise and disease conditions like glycaemia, uremia and dihydrolipoamide dehydrogenase deficiency (DLDD). The results clearly indicate that ATP is the master regulator under different metabolic conditions and physiological states. The results also highlight that energy currencies play a minor role. However, the moiety creatine phosphate has a unique character, since it is a ready-made source of phosphoryl groups for the rapid synthesis of ATP from ADP. HEPNet provides a framework for further expanding the network diverse age groups of both the sexes, followed by the understanding of energetics in more complex metabolic pathways that are related to human disorders.

This model is hosted on BioModels Database and identified by: BIOMD0000000579.

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ORGANISM(S): Homo sapiens

SUBMITTER: Lucian Smith 

PROVIDER: MODEL1507210000 | biostudies-other |

SECONDARY ACCESSION(S): 26053019

REPOSITORIES: biostudies-other