MétaCan
Menu
Back to cohort
Record W2340406802

Dna watson-crick complementarity in computer science

2010· article· en· W2340406802 on OpenAlex
Shinnosuke Seki

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Biological Computing
Canadian institutionsWestern University
Fundersnot available
KeywordsMolecular Structure of Nucleic Acids: A Structure for Deoxyribose Nucleic AcidCombinatoricsMathematicsComplementarity (molecular biology)PrefixDiscrete mathematicsDNABase pairGeneticsPhilosophyBiology
DOInot available

Abstract

fetched live from OpenAlex

Genetic information is encoded over the four nucleotide alphabet {A, C, G, T} in the form of DNA helix (double-stranded structure). This structure consists of DNA strands with opposite orientation (called Watson and Crick strands), bonded via the Watson-Crick complementarity A-T, C-G. During DNA replication, each of these strands serves as a template for the reproduction of the complementary strand so as to produce two identical copies of the original DNA helix. Thus, we can say that the Watson and Crick strands are equivalent with respect to the information they encode. The Watson-Crick complementarity is mathematically modeled as an antimorphic involution t. Hence, we can formalize the above-mentioned equivalence by the equivalence between a word and its image under t. This generalization enables us to extend the notions of periodicity and power (repetition) to those of pseudo-periodicity and pseudo-power. We call any word in u{u,t(u)}* a pseudo-power of u. With the notion of pseudo-power, we extend two problems of significance which involve power of words, that is, the Fine and Wilf's theorem and the Lyndon-Schutzenberger equation. The first theorem answers the question of how long prefix a pseudo-power of u and that of v should share to imply that u and v are pseudo-powers of some common word. Onto the length of this prefix, we provide an upper bound 2 max(|u|, |v|) + min(|u|, |v|) – gcd(|u|, |v|), and later improve it slightly. We also investigate its lower bound by constructing words u, v which cannot be written as pseudo-powers of a common word, but some of whose pseudo-powers can share a prefix of length quite close to the upper bound. The extended Lyndon-Schutzenberger equation is of the form au,qu =bv,q vg w,qw , where α(u, t(u)) ∈ {u, t(u)}e, β( v, t(v)) ∈ {v, t( v)}n, and γ(w, t( w)) ∈ {w, t(w)} m for some e, n, m ≥ 1. We ask the question of under what conditions on e, n, m, this equation implies that u, v, w ∈ {t, t(t)} + for some word t. The strongest condition we obtained so far is e ≥ 4, m, n ≥ 3. Keywords: Watson-Crick complementarity, antimorphic involution, Fine and Wilf's theorem, Lyndon-Schutzenberger equation

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.226

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.272
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

Same topicDNA and Biological ComputingFrench-language works237,207