# Petri Net modeling of thiamine diphosphate biosynthesis in Mycobacterium tuberculosis H37Rv

## TL;DR

This paper creates a computational model of thiamine diphosphate production in tuberculosis bacteria to help design new drugs.

## Contribution

A novel Petri net model of TPP biosynthesis in Mycobacterium tuberculosis using curated MetaCyc data and Snoopy software.

## Key findings

- The model integrates three biosynthetic branches and key enzymes in TPP production.
- Simulation revealed critical regulatory nodes in the pathway.
- The model provides a foundation for drug design targeting tuberculosis.

## Abstract

Thiamine diphosphate (TPP) is essential cofactor in Mycobacterium tuberculosis H37Rv metabolism, making its biosynthesis pathway a
key target for therapy. Therefore, it is of interest to describe a Petri net-based model of the TPP biosynthesis super-pathway,
developed using curated MetaCyc data and simulated with Snoopy software. The model integrates three biosynthetic branches and maps key
enzymes (ThiC, ThiD, ThiE, ThiF, ThiG, ThiS) along with their gene identifiers. The simulation of token flow revealed the pathway's
dynamics, highlighting critical regulatory nodes. This computational approach provides insights into TPP biosynthesis and serves as a
basis for drug design targeting tuberculosis.