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

Sengupta2015 - Knowledge base model of human
energy 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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BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.

To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.

Sengupta2015 - 人类能量池网络（HEPNet）知识库模型

该模型的相关研究论文为：
《HEPNet：用于预测个体能量可用状态的人类能量池网络知识库模型》
Sengupta A, Grover M, Chakraborty A, Saxena S.
PLoS ONE 2015; 10(6): e0127918

摘要：
HEPNet是人类细胞组织内代谢反应的电子化表征，聚焦于能量通货三磷酸腺苷（ATP）、三磷酸鸟苷（GTP）及其他能量相关组分的流入与流出。HEPNet的骨架由碳水化合物、蛋白质、脂肪等主要生物分子构成，这些分子最终是细胞内能量通货合成与降解的核心来源。研究通过细胞区室化描绘了构成各类代谢物分解代谢与合成代谢的一系列生化通路与反应。所描绘的通路协同运作，以实现生成ATP及其他能量相关组分、支撑多种细胞功能的核心目标。HEPNet经人工整理自实验原始数据构建，同时与KEGG及Reactome数据库建立了关联。本模型已通过模拟生理状态（如禁食、饥饿、运动）及疾病状态（如血糖异常、尿毒症与二氢硫辛酰胺脱氢酶缺乏症（DLDD））完成验证。研究结果清晰表明，ATP是不同代谢条件与生理状态下的核心调控因子；同时也凸显出能量通货仅发挥次要作用。然而，肌酸磷酸这一组分具有独特特性：它是可快速由二磷酸腺苷（ADP）合成ATP的磷酸基团现成来源。HEPNet为进一步拓展涵盖不同年龄、性别人群的网络提供了框架，有助于深入理解与人类疾病相关的复杂代谢通路中的能量代谢机制。

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