Biswas, Ansuman ; Gupta, Ashutosh ; Missula, Meghana ; Thattai, Mukund (2021) Automated Inference of Production Rules for Glycans In: Computational Methods in Systems Biology, 13 September 2021, Springer Nature.
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Official URL: https://doi.org/10.1007/978-3-030-85633-5_4
Related URL: http://dx.doi.org/10.1007/978-3-030-85633-5_4
Abstract
Glycans are tree-like polymers made up of sugar monomer building blocks. They are found on the surface of all living cells, and distinct glycan trees act as identity markers for distinct cell types. Proteins called GTase enzymes assemble glycans via the successive addition of monomer building blocks. The rules by which the enzymes operate are not fully understood. In this paper, we present the first SMT-solver-based iterative method that infers the assembly process of the glycans by analyzing the set of glycans from a cell. We have built a tool based on the method and applied it to infer rules based on published glycan data.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to Springer Nature. |
| ID Code: | 140030 |
| Deposited On: | 02 Sep 2025 14:36 |
| Last Modified: | 02 Sep 2025 14:36 |
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