ArticleBMC bioinformatics2007
Computational genes: a tool for molecular diagnosis and therapy of aberrant mutational phenotype.
Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Efficient and interpretable DNA/RNA representation using Komlós-Hadamard transforms.BMC bioinformatics · 2026Article
- Model Checking Temporal Logic Formulas Using Sticker Automata.BioMed research international · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA finite state machine manipulating information-carrying DNA strands can be used to perform autonomous molecular-scale computations at the cellular level.
resultsWe propose a new finite state machine able to detect and correct aberrant molecular phenotype given by mutated genetic transcripts. The aberrant mutations trigger a cascade reaction: specific molecular markers as input are released and induce a spontaneous self-assembly of a wild type protein or peptide, while the mutational disease phenotype is silenced. We experimentally demostrated in in vitro translation system that a viable protein can be autonomously assembled.
conclusionOur work demostrates the basic principles of computational genes and particularly, their potential to detect mutations, and as a response thereafter administer an output that suppresses the aberrant disease phenotype and/or restores the lost physiological function.
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Registered trials
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