{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T12:12:30Z","timestamp":1763467950861},"reference-count":15,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Found. Comput. Sci."],"published-print":{"date-parts":[[2009,6]]},"abstract":"<jats:p> Biocomputing emerged as a promising paradigm capable of coping efficiently with challenges of programming decentralized but concerted reaction systems. The chemical programming metaphor subsumes different encoding techniques into molecular or spatial structures in conjunction with artificial reaction networks. Here, a variety of supplementary assumptions like predefined polymeric sequences or availability of inhibiting reactions is frequently used. Inspired by the idea to build chemical computers based on minimal requirements in chemistry from a theoretical perspective, we introduce a pure chemical register machine model operating on binary numbers. The register machine architecture is composed of reaction network motifs acting as fast switching logic gates, oscillators, and self-reproducible bit storage units. The dynamical machine behavior consistently employs mass-action kinetics. Two case studies, calculating the maximum of three natural numbers as well as numerical addition, illustrate the practicability of the design along with dynamical simulations. <\/jats:p>","DOI":"10.1142\/s0129054109006656","type":"journal-article","created":{"date-parts":[[2009,6,3]],"date-time":"2009-06-03T07:16:30Z","timestamp":1244013390000},"page":"411-426","source":"Crossref","is-referenced-by-count":10,"title":["REGISTER MACHINE COMPUTATIONS ON BINARY NUMBERS BY OSCILLATING AND CATALYTIC CHEMICAL REACTIONS MODELLED USING MASS-ACTION KINETICS"],"prefix":"10.1142","volume":"20","author":[{"given":"THOMAS","family":"HINZE","sequence":"first","affiliation":[{"name":"Friedrich Schiller University Jena, Department Bioinformatics at School of Biology\/Pharmacy, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"RAFFAEL","family":"FASSLER","sequence":"additional","affiliation":[{"name":"Friedrich Schiller University Jena, Department Bioinformatics at School of Biology\/Pharmacy, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"THORSTEN","family":"LENSER","sequence":"additional","affiliation":[{"name":"Friedrich Schiller University Jena, Bio Systems Analysis Group, Ernst-Abbe-Platz 1-4, D-07743 Jena, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"PETER","family":"DITTRICH","sequence":"additional","affiliation":[{"name":"Friedrich Schiller University Jena, Bio Systems Analysis Group, Ernst-Abbe-Platz 1-4, D-07743 Jena, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2012,4,30]]},"reference":[{"key":"rf1","first-page":"145","volume":"147","author":"Belousov B. 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