Molecular Biology
A discipline is a lens, not an owner — the same idea can be viewed through many.
Concepts viewed through this lens
These numbers describe the current Thinking OS knowledge slice, not the whole field.
Disciplines it bridges to
Each bridge is built by ideas the two fields share, the thinking patterns that recur across both, and a representative relationship that shows how they connect.
Molecular Biologyconnects toBiology
Shared concepts
Shared thinking patterns
Why this bridge exists
Translation causes Protein — translation causes protein.
Explore this connection →Molecular Biologyconnects toGenetics
Shared concepts
Shared thinking patterns
Why this bridge exists
Gene regulatory network emerges from Gene expression — Genes switch each other.
Explore this connection →Molecular Biologyconnects toCell Biology
Shared thinking patterns
Why this bridge exists
mTOR signaling influences Gene expression — It switches growth vs repair.
Explore this connection →Molecular Biologyconnects toMicrobiology
Shared concepts
Why this bridge exists
Bacterial strain depends on Plasmid — bacterial strain depends on plasmid.
Explore this connection →Molecular Biologyconnects toBiochemistry
Shared concepts
Shared thinking patterns
Why this bridge exists
Translation causes Protein — translation causes protein.
Explore this connection →Molecular Biologyconnects toBioinformatics
Shared thinking patterns
Why this bridge exists
Metagenomics depends on DNA — metagenomics depends on DNA.
Explore this connection →Molecular Biologyconnects toComputer Science
Shared thinking patterns
Why this bridge exists
Algorithm is a Sequence — An algorithm is an ordered sequence of steps.
Explore this connection →Molecular Biologyconnects toMathematics
Shared concepts
Shared thinking patterns
Why this bridge exists
Algorithm is a Sequence — An algorithm is an ordered sequence of steps.
Explore this connection →
Field shape — representation health
66/100 overall · 22 concepts
The eight dimensions measure Thinking OS coverage of this field, not the quality or importance of the discipline.
What kind of structure is this field?
Interpreted from the current atlas — how this field is represented, not a judgement of the field.
Representation health 66/100 — healthy representation. Strongest: cross-disciplinary, taxonomy. Thinnest: factual depth.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
Its 66 representation-health is above the 55 median of 203 similarly-sized disciplines (comparable by concept count).
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
67% of its relations reach into 30 other disciplines — an outward-facing field in the atlas.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
23% of its concepts have a single connection (mean internal degree 2.1) — a fairly cohesive internal structure.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
Current atlas gaps: no equations stored.
atlas representation · Measures the current Thinking OS representation, not the quality or importance of the field.
How this lens connects
The kinds of relationship that characterise this discipline lens in the current slice.
Coverage matrix
How these concepts distribute across domains and concept families — real counts, not a score.
Knowledge timeline
Real, sourced key dates of these concepts.
- 1953DNA · Discovery · Molecular Biology
Ideas that connect this discipline outward
Concepts viewed through this lens that reach disciplines it does not itself carry — concept-level bridges (distinct from the discipline-to-discipline bridges below).
- DNAreachesAlgorithmsAstrobiologyBiologyBiotechnologyCommunication ScienceComputational BiologyComputer ScienceData StructuresDiscrete MathematicsHistoryInformation TheoryLogicMathematicsMicrobiologySoftware EngineeringTheory of Computation
- SequencereachesAlgorithmsBiochemistryBiologyCell BiologyCognitive ScienceDesignEducationEducational ScienceEvolutionary BiologyGeneticsLogicMachine LearningSoftware EngineeringTheory of Computation
- Gene expressionreachesBiochemistryBioinformaticsCell BiologyCyberneticsEvolutionary BiologyGeneticsMedicineMicrobiologyPhysiology
- GenomereachesBiochemistryBioinformaticsBiotechnologyCell BiologyEvolutionary BiologyGeneticsMicrobiology
- GenereachesBiochemistryBiologyBiomedical ScienceBiotechnologyEthicsMedicine
- TranscriptionreachesBiochemistryBioinformaticsBiomedical ScienceCell BiologyEvolutionary BiologyGenetics
Mental models that recur here
People represented in this atlas
People tagged with this lens who have a recorded contribution. Not exhaustive, and not a ranking.
- Conrad Hal Waddington
1905–1975
- Francis Crick
1916–2004
- François Jacob
1920–2013
- Alexander Stark
1925–1942
- Joan A. Steitz
1941–present
- Craig Venter
1946–2026
- 22 concepts are viewed through this lens.
- 14 of them bridge into other disciplines.
- Its signature thinking pattern is “Information” (recurs in 8 concepts).
- The most common kind of connection here is “Kind & structure”.
- It is most tightly linked to Biology.
Derived from the current graph structure — observations, not a judgement of the field.