Topic 01 · sarcopenia network More topics added over time
A learn-by-doing AlphaFold learning space. Follow the 30-day plan, and each time you understand a protein, leave a living structure card on the site: the structure is pulled live from public databases, colored by pLDDT confidence, and clearly separates what is known fact from what is only a model prediction. The proteins you have learned are kept permanently and keep accumulating; you can work through the same process yourself, or simply browse the structures that are already organized.
Interactive learning centerStarter case: Myostatin / ActRIIB / FollistatinFlexible pace
Known factVerifiable in experiments or databases
Model predictionThe structural hypothesis AlphaFold gives
Reasonable inferenceDerived from the first two, not yet confirmed
Hypothesis to testRequires experimental confirmation
Every output should clearly mark which of the layers above it falls into. This is the core principle of the whole plan, and it is also a fixed field on every card on the site.
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Quickly look up any protein
Enter a name, gene, or UniProt accession · instantly generates a basic structure card
Data is pulled live from UniProt and AlphaFold DB; the quick-lookup card lists only public facts and model predictions, without manual curation.
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30-day flexible tracker
Checkmarks and goals are stored in your local browser · you can skip ahead · goals are customizable
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Protein shelf
What you have learned stays here · you can keep adding over time
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Living structure card · Myostatin
The 3D structure is pulled live from AlphaFold DB · colored by pLDDT
Structural observation (example, to be filled in during weeks 1–2):The mature C-terminal domain usually has high, reliable pLDDT; the N-terminal prodomain and linker regions often show long low-confidence stretches, which mostly correspond to regions that are inherently disordered or only take shape once a ligand is bound. A low score does not equal model failure, so keep interpretation open.
Every structure card can be compared against the PDB experimental structure and connects into the interaction network below and the protein shelf above.
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Core-concept cheat sheet
Click to see definitions · corresponds to the site's ConceptExplainer
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Sarcopenia protein network
Myostatin is built · the rest are nodes still to build
Interaction / signalInhibitionClick a node: solid ＝ card built, dashed circle ＝ to build
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Hypothesis template
For the week 3 output · forces you to separate fact from inference
Known evidenceThe parts verifiable from UniProt / PDB / the literature
Structural observationWhat you see in the AlphaFold structure (including pLDDT / PAE interpretation)
Reasonable inferenceIdeas derived from the above but not yet confirmed
Still to be verifiedWhich step still lacks experimental or structural evidence
Feasible experimentA concrete validation approach you could propose to a researcher
How this tool will grow:Progress and notes will later be tied to an account and synced across devices; every structure card connects into the site's knowledge star map, and the protein shelf keeps accumulating as you learn more subjects; the latest papers on each target protein are tracked automatically, keeping the content in step with research.
Structure data: AlphaFold DB (EMBL-EBI/DeepMind, CC BY 4.0) · UniProt (CC BY 4.0) · PDB. AlphaFold provides structural hypotheses, not experimental evidence.