ArticleComputational and mathematical methods in medicine2013
The MATCHIT automaton: exploiting compartmentalization for the synthesis of branched polymers.
Article in Computational and mathematical methods in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Machine learning-based diagnostic evaluation of shear-wave elastography in BI-RADS category 4 breast cancer screening: a multicenter, retrospective study.Quantitative imaging in medicine and surgery · 2022Article
- Continued value of the serum alpha-fetoprotein test in surveilling at-risk populations for hepatocellular carcinoma.PloS one · 2020Article
- Programming chemistry in DNA-addressable bioreactors.Journal of the Royal Society, Interface · 2014Article
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7 authors.
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Abstract
We propose an automaton, a theoretical framework that demonstrates how to improve the yield of the synthesis of branched chemical polymer reactions. This is achieved by separating substeps of the path of synthesis into compartments. We use chemical containers (chemtainers) to carry the substances through a sequence of fixed successive compartments. We describe the automaton in mathematical terms and show how it can be configured automatically in order to synthesize a given branched polymer target. The algorithm we present finds an optimal path of synthesis in linear time. We discuss how the automaton models compartmentalized structures found in cells, such as the endoplasmic reticulum and the Golgi apparatus, and we show how this compartmentalization can be exploited for the synthesis of branched polymers such as oligosaccharides. Lastly, we show examples of artificial branched polymers and discuss how the automaton can be configured to synthesize them with maximal yield.
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