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AlphaFold 2 published in paper: Highly accurate protein structure prediction with AlphaFold (Jumper et al., 2021).

Last verified 2026-05-16 · Methodology veritas-v0.1 · 477bc19212addf9a

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Structured fields

Subject
AlphaFold 2
Predicate
published_in_paper
Object
Highly accurate protein structure prediction with AlphaFold (Jumper et al., 2021)
Confidence
100%
Tags
alphafold · deepmind · biology · 2021 · nature · protein

Sources (2)

  1. [1] peer reviewed · Nature (Jumper et al., DeepMind) · 2021-07-15

    Highly accurate protein structure prediction with AlphaFold
    “Here we provide the first computational method that can regularly predict protein structures with atomic accuracy even where no similar structure is known.”
  2. [2] official blog · DeepMind · 2020-11-30

    AlphaFold: a solution to a 50-year-old grand challenge in biology

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AlphaFold 2 published in paper: Highly accurate protein structure prediction with AlphaFold (Jumper et al., 2021). — SourceScore Claim 477bc19212addf9a (verified 2026-05-16). https://sourcescore.org/api/v1/claims/477bc19212addf9a.json

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The record lists 2 cited source(s): Nature (Jumper et al., DeepMind), DeepMind. Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/477bc19212addf9a.json includes SourceScore-issued HMAC integrity metadata, not a public verification proof.

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const r = await fetch("https://sourcescore.org/api/v1/claims/477bc19212addf9a.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "AlphaFold 2 published in paper: Highly accurate protein structure prediction with AlphaFold (Jumper et al., 2021)."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/477bc19212addf9a.json") envelope = r.json() print(envelope["claim"]["statement"]) # "AlphaFold 2 published in paper: Highly accurate protein structure prediction with AlphaFold (Jumper et al., 2021)."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_alphafold_2_fact() -> dict: """Fetch the verified SourceScore claim for AlphaFold 2.""" r = httpx.get("https://sourcescore.org/api/v1/claims/477bc19212addf9a.json") return r.json()
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