Fair criticism of the presentation. The question is genuine: I'm building a DNA decoder that assigns logic gate types to transcription factor binding sites, and I need expert review of my lac operon annotations before using them as ground truth. Happy to discuss the science if the framing was off-putting. The annotation document is here if you want to see what I'm actually asking https://storage.googleapis.com/regal-scholar-453620-r7-podcast-storage/glmp/lac-operon-annotation-review.html and this method is outlined in detail in https://doi.org/10.5281/zenodo.20831780
I just updated the annotation document to show the flowchars: https://storage.googleapis.com/regal-scholar-453620-r7-podcast-storage/glmp/lac-operon-annotation-review.html
I am building a DNA regulatory grammar decoder as part of the Genome Logic Modeling Project (GLMP) — a program to systematically read regulatory DNA sequences as logical formulas (AND, OR, NOT gates) based on transcription factor binding site spatial geometry.
The project is documented at https://github.com/garywelz/glmp and https://garywelz.github.io/glmp/ and a methods paper is available at https://doi.org/10.5281/zenodo.20831780
The specific ask: I have drafted sequence-level annotations for three nodes in the E. coli lac operon:
- lacO1 operator (~21 bp NOT gate) — sequence, genomic coordinates, logical interpretation
- CRP binding site (AND input) — consensus motif, inter-site distance, logical role
- lacI gene locus (source node, b0345) — constitutive expression, repressor copy number
I need a molecular biologist with hands-on bacterial transcription experience to review these three entries and confirm the logical interpretations are correct — specifically whether the spatial geometry assignments (NOT gate overlapping RNAP; CRP at ~60 bp encoding AND-independent geometry) accurately reflect the molecular biology.
The full annotation document is here: https://storage.googleapis.com/regal-scholar-453620-r7-podcast-storage/glmp/lac-operon-annotation-review.html
The annotation document is short (~3 pages). This is a bounded, well-defined task — not an open-ended collaboration request.
If you are willing to help, please reply here or email gwelz@gc.cuny.edu.
1 answer
Gary this is just AI slop…
Dear Gary,
No offence, but the presentation looked more like an OpenClaw/whatever agent you were using, all your commits are indeed agentic, going rogue. Boolean regulatory networks were first proposed in 1969. The lac operon is probably the best-researched regulon in biology. If it's important to you, why don't you figure these questions out yourself or use a standard biology textbook?
Best Michael
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