Claim · 2023-11-30 · publication · Stated in source · Supported

Terwilliger et al. (Nature Methods, published online 30 November 2023) suggest treating AlphaFold predictions as exceptionally useful hypotheses and carrying out experimental structure determination to verify structural details, particularly interactions not included in the prediction.

One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.

What it connects

AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination → bears on → Predicted protein structures aid drug design

Where it appears

AI in science →

Claim and evidence

AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determinationbears on ↓Predicted protein structures aid drug design

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2023-11-30 · publication Records dated 2023 →
Role: Context
Register (kind of text): Nonfiction
Missing element: Addresses whether predictions can substitute for experimental structures, not whether they aid drug design.

Scope and limitsThe record documents what this text states, in its register; it is not evidence that the proposition is true and implies no influence on or from any other text. The paper compares predictions with experimental crystallographic maps; it does not test drug design.

The evidence 02

primary sourceSupports the claim

AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination

Nature Methods · 2023-11-30

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“We suggest considering AlphaFold predictions as exceptionally useful hypotheses. We further suggest that it is important to consider the confidence in prediction when interpreting AlphaFold predictions and to carry out experimental structure determination to verify structural details”

Location in source Abstract

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-30

Source details and check notes

Authors: Thomas C. Terwilliger; Dorothee Liebschner; Tristan I. Croll
Version: Retrieved for the candidate pack on 2026-10-30 (SHA-256 c3295e1b4248de783b80cc9902efcab10c0e73d1c1b1ab636e1cd4773f35af91). Nature Methods article page, open access, version of record of 30 November 2023, as served on 2026-10-30. The author list is partial: it gives the authors the retrieved expression names and leaves out those it abbreviates.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-30
Language: English (en)
Attribution: Thomas C. Terwilliger, Dorothee Liebschner, Tristan I. Croll, “AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination”, 2023-11-30.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, AI in biology (research/ai-in-biology). The quotation (37 words) matched the text retrieved for the candidate pack on 2026-10-30. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. The authors' recommendation. A cross-family machine check (2026-10-30, item B110) re-read the record’s sources and found full support. No human editorial review.

primary sourceSupports the claim

AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination

Nature Methods · 2023-11-30

Cite the original source

Cite the original document, not Selekoa. Check these details against it.

Source excerpt

“AlphaFold predictions have already been made available for 200 million individual protein sequences to further drug discovery and protein engineering and to understand biology”

Location in source Introduction

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-30

Source details and check notes

Authors: Thomas C. Terwilliger; Dorothee Liebschner; Tristan I. Croll
Version: Retrieved for the candidate pack on 2026-10-30 (SHA-256 c3295e1b4248de783b80cc9902efcab10c0e73d1c1b1ab636e1cd4773f35af91). Nature Methods article page, open access, version of record of 30 November 2023, as served on 2026-10-30. The author list is partial: it gives the authors the retrieved expression names and leaves out those it abbreviates.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-30
Language: English (en)
Attribution: Thomas C. Terwilliger, Dorothee Liebschner, Tristan I. Croll, “AlphaFold predictions are valuable hypotheses and accelerate but do not replace experimental structure determination”, 2023-11-30.
Reuse: No open redistribution licence asserted. Bibliographic metadata, editorial paraphrases and short attributed quotations (at most 50 words each). Recheck terms before wider redistribution.
Check notes: Candidate pack passage, AI in biology (research/ai-in-biology). The quotation (24 words) matched the text retrieved for the candidate pack on 2026-10-30. Matching ignored differences of whitespace, case, quotation marks, dashes and Unicode compatibility forms, so the source’s typography can differ. The paper's framing of the purpose of the released predictions, which it then qualifies. A cross-family machine check (2026-10-30, item B110) re-read the record’s sources and found full support. No human editorial review.

Status and meaning

Editorial status. Not reviewed by an editor. An exploratory record that no editor has accepted. This status does not say whether a person has read any linked passage. Each evidence record above shows how it was checked.

Relation. A passage of the document bears on the proposition without meeting its criterion; the record names the missing element. It is not an articulation and implies no influence.

Date. Online publication date printed on the article page.

Record ID aib-arg-p1-terwilliger-2023