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Record W2060315069 · doi:10.1002/bmb.20299

Making ordered DNA and protein structures from computer‐printed transparency film cut‐outs

2009· article· en· W2060315069 on OpenAlexaff
Karnyupha Jittivadhna, Pintip Ruenwongsa, Bhinyo Panijpan

Bibliographic record

VenueBiochemistry and Molecular Biology Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicScience Education and Pedagogy
Canadian institutionsTellabs (Canada)
FundersMahidol UniversityTertiary Education Commission
Keywords3d printedTransparency (behavior)Materials scienceDNAComputer scienceNanotechnologyEngineeringBiologyBiomedical engineeringComputer securityGenetics

Abstract

fetched live from OpenAlex

Instructions are given for building physical scale models of ordered structures of B-form DNA, protein α-helix, and parallel and antiparallel protein β-pleated sheets made from colored computer printouts designed for transparency film sheets. Cut-outs from these sheets are easily assembled. Conventional color coding for atoms are used for both types of biopolymers. Arrows facilitate following chain direction for the polypeptides. For DNA, the 5' to 3' direction is guided by a 5' phosphate group and a free hydroxyl group. Important chiral centers, for example, α-carbon, deoxyribose C1', are easily made. The main advantages of this version of DNA are the proportional major and minor grooves as in the actual molecule. More importantly, because of transparency of the film one can see successive base-pair stacking very clearly and also the sense of relative base-pair rotation. Because of the introduction of two central metal wire axes, the model of B-form DNA can be twisted to give a rather good representation of A-form and even a semblance of a left-handed helix. The models of secondary structure of protein allow a better insight into the axial alignment of side chains, the formation of hydrogen bond, the handedness of the α-helix, and the backbone connection between the β-strands. Students taught by these models understand 3D features of the biopolymers better than from textbook illustrations, computer graphic representations, and even common paper and plastic versions.

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.

How this classification was reachedexpand

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 score0.131
Threshold uncertainty score0.382

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 head0.027
GPT teacher head0.374
Teacher spread0.347 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2009
Admission routes1
Has abstractyes

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