Year: 2022 | Month: December | Volume 10 | Issue 1&2
Quantitative study on cellular signaling database: management and analysis of signaling network
Ranjit Kumar
DOI:10.30954/2319-5169.1.2022.1
Abstract:
The amount of information required to determine how cells interact is enormous. Block diagrams are often used to depict the complicated signaling networks that result. This is a critical step in the development of quantitative knowledge of signaling. One of the advantages of studying pathways is that it provides abundant quantitative data. Signal pathways models may be found in the Database for Quantitative Cellular Signaling. As well as serving the expanding area of chemical reaction-level signaling network modeling, it aims to foresee problems with large-scale data management in signal chemistry. The present DOQCS research uses graphical techniques and simulation in a cellular spatial framework to further this convergence. This work links database-specified route models.
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