@inproceedings{afc5f9ce92a9474da7eeb57a1a1e76f6,
title = "An Efficient Algorithm for Determining the Equivalence of Zero-one Reaction Networks",
abstract = "Zero-one reaction networks play a crucial role in cell signaling. Determining the equivalence of reaction networks is a fundamental computational problem in the field of chemical reaction networks. In this work, we develop an efficient method for determining the equivalence of zero-one networks. The efficiency comes from several criteria for determining the equivalence of the steady-state ideals arising from zero-one networks, which helps for cutting down the expenses on computing Gr{\"o}bner bases. Experiments show that our method can successfully classify over three million networks according to their equivalence in a reasonable time.",
keywords = "Chemical reaction network, Gr{\"o}bner basis, Steady-state ideal",
author = "Yue Jiao and Xiaoxian Tang",
note = "Publisher Copyright: {\textcopyright} 2025 Copyright is held by the owner/author(s). Publication rights licensed to ACM.; 50th International Symposium on Symbolic and Algebraic Computation, ISSAC 2025 ; Conference date: 28-07-2025 Through 01-08-2025",
year = "2025",
month = nov,
day = "10",
doi = "10.1145/3747199.3747571",
language = "英语",
series = "ISSAC 2025 - Proceedings of the 2025 International Symposium on Symbolic and Algebraic Computation",
publisher = "Association for Computing Machinery, Inc",
pages = "277--283",
editor = "Carlos D'Andrea and Diaz, \{Sonia Perez\} and Santiago Laplagne",
booktitle = "ISSAC 2025 - Proceedings of the 2025 International Symposium on Symbolic and Algebraic Computation",
}