Multi-output logic computation with minimal dimerization networks

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Abstract

Abstract Competitive protein dimerization networks have recently been shown to compute basic logic functions, yet their potential for implementing circuit-level computation remains largely unexplored. Here, we investigate whether small competitive dimerization networks can be combined or optimized to execute complex Boolean expressions. Using equilibrium modeling and optimization algorithms, we demonstrate that complete logic circuits, including a seven-segment display and a blood-type detection system, can be implemented within minimal single-layer networks. These optimized networks drastically reduce molecular complexity, enable multi-output computation, and overcome signal-propagation limitations inherent to network-assembled designs. Our results position competitive dimerization networks as a compact and efficient option for protein-level biocomputation.
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Multi-output logic computation with minimal dimerization networks | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Multi-output logic computation with minimal dimerization networks Arturo Orozco-Estrada, Daniela Flores-Nuño, Ernesto Borrayo, Gerardo Mendizabal-Ruiz, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8724902/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Competitive protein dimerization networks have recently been shown to compute basic logic functions, yet their potential for implementing circuit-level computation remains largely unexplored. Here, we investigate whether small competitive dimerization networks can be combined or optimized to execute complex Boolean expressions. Using equilibrium modeling and optimization algorithms, we demonstrate that complete logic circuits, including a seven-segment display and a blood-type detection system, can be implemented within minimal single-layer networks. These optimized networks drastically reduce molecular complexity, enable multi-output computation, and overcome signal-propagation limitations inherent to network-assembled designs. Our results position competitive dimerization networks as a compact and efficient option for protein-level biocomputation. Biological sciences/Computational biology and bioinformatics Physical sciences/Engineering Physical sciences/Mathematics and computing Physical sciences/Physics Protein-level biocomputation competitive dimerization networks biochemical logic circuits Boolean computation synthetic biology Full Text Additional Declarations Competing interest reported. JAM is an associate editor for Scientific Reports. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8724902","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":603333116,"identity":"9013c444-404f-468f-a3b8-09bbe019379a","order_by":0,"name":"Arturo Orozco-Estrada","email":"","orcid":"","institution":"University of Guadalajara","correspondingAuthor":false,"prefix":"","firstName":"Arturo","middleName":"","lastName":"Orozco-Estrada","suffix":""},{"id":603333117,"identity":"acbec848-2906-4298-8aa7-6bb01464005f","order_by":1,"name":"Daniela Flores-Nuño","email":"","orcid":"","institution":"University of Guadalajara","correspondingAuthor":false,"prefix":"","firstName":"Daniela","middleName":"","lastName":"Flores-Nuño","suffix":""},{"id":603333118,"identity":"30b0d2b2-7d0f-473f-91e4-9196dde4ee2d","order_by":2,"name":"Ernesto Borrayo","email":"","orcid":"","institution":"University of Guadalajara","correspondingAuthor":false,"prefix":"","firstName":"Ernesto","middleName":"","lastName":"Borrayo","suffix":""},{"id":603333119,"identity":"b987a101-bd50-4a8f-9ccb-27e2c774d488","order_by":3,"name":"Gerardo Mendizabal-Ruiz","email":"","orcid":"","institution":"University of Guadalajara","correspondingAuthor":false,"prefix":"","firstName":"Gerardo","middleName":"","lastName":"Mendizabal-Ruiz","suffix":""},{"id":603333120,"identity":"0e69b219-fc47-4e29-a065-7596fa503264","order_by":4,"name":"J. 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