Claim · 2016-09-14 · publication · Stated in source · Supported

Huang, Boyken and Baker (Nature, published online 14 September 2016) state that computational methodology now allows a wide range of protein structures to be designed from scratch with atomic-level accuracy, and that it should now be possible to design new functional proteins from the ground up.

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

The coming of age of de novo protein design → bears on → Machine-learning methods make proteins with new functions designable

Where it appears

AI in science →

Claim and evidence

The coming of age of de novo protein designbears on ↓Machine-learning methods make proteins with new functions designable

Machine-checked, not reviewed by an editorStated in sourceSupported

Supporting evidence: primary · 1 source

Date: 2016-09-14 · publication Records dated 2016 →
Role: Context
Register (kind of text): Nonfiction
Missing element: No machine-learning element: the design methods are physics-based.

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. Only the abstract was read. The design methods the abstract describes are guided by physical principles, not machine learning.

The evidence 02

primary sourceSupports the claim

The coming of age of de novo protein design

Nature · 2016-09-14

Cite the original source

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

Source excerpt

“Almost all protein engineering so far has involved the modification of naturally occurring proteins; it should now be possible to design new functional proteins from the ground up to tackle current challenges in biomedicine and nanotechnology.”

Location in source Abstract

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-30

Source details and check notes

Authors: Po-Ssu Huang; Scott E. Boyken; David Baker
Version: Retrieved for the candidate pack on 2026-10-30 (SHA-256 8ed3f404c2ed570357d15dabbf5337ef6aa3560d13c9a97ce3c08abee285597b). Nature review article page as served on 2026-10-30; abstract and metadata, full text behind subscription.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-30
Language: English (en)
Attribution: Po-Ssu Huang, Scott E. Boyken, David Baker, “The coming of age of de novo protein design”, 2016-09-14.
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 (36 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' statement. A cross-family machine check (2026-10-30, item B101) re-read the record’s sources and found full support. No human editorial review.

primary sourceSupports the claim

The coming of age of de novo protein design

Nature · 2016-09-14

Cite the original source

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

Source excerpt

“De novo protein design explores the full sequence space, guided by the physical principles that underlie protein folding.”

Location in source Abstract

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-30

Source details and check notes

Authors: Po-Ssu Huang; Scott E. Boyken; David Baker
Version: Retrieved for the candidate pack on 2026-10-30 (SHA-256 8ed3f404c2ed570357d15dabbf5337ef6aa3560d13c9a97ce3c08abee285597b). Nature review article page as served on 2026-10-30; abstract and metadata, full text behind subscription.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-30
Language: English (en)
Attribution: Po-Ssu Huang, Scott E. Boyken, David Baker, “The coming of age of de novo protein design”, 2016-09-14.
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 (18 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. Shows that the approach described is physics-based. A cross-family machine check (2026-10-30, item B101) 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-p4-huang-2016