Claim · 2018-04-20 · publication · Stated in source · Supported

Wang, Cao, Zhang and Qi (Scientific Reports, 20 April 2018) report applying a deep-learning neural network to computational protein design and state that their results may benefit further development of computational protein design methods.

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

Computational Protein Design with Deep Learning Neural Networks → bears on → Machine-learning methods make proteins with new functions designable

Where it appears

AI in science →

Claim and evidence

Computational Protein Design with Deep Learning Neural Networksbears 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: 2018-04-20 · publication Records dated 2018 →
Role: Context
Register (kind of text): Nonfiction
Missing element: Applies machine learning to protein design but does not state that it makes proteins with new functions or unnatural sequences designable.

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 authors' own report; the abstract evaluates the network on redesigning natural proteins.

The evidence 02

primary sourceSupports the claim

Computational Protein Design with Deep Learning Neural Networks

Scientific Reports · 2018-04-20

Cite the original source

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

Source excerpt

“In this study, we applied the deep learning neural network approach to computational protein design for predicting the probability of 20 natural amino acids on each residue in a protein.”

Location in source Abstract

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-30

Source details and check notes

Authors: Jingxue Wang; Huali Cao; John Z. H. Zhang; Yifei Qi
Version: Retrieved for the candidate pack on 2026-10-30 (SHA-256 21ce0bc79495fd4b42ec0d61ba1a7c6da9a1d416a35564ff0e36ae3b09212598). Scientific Reports article page, open access, as served on 2026-10-30.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-30
Language: English (en)
Attribution: Jingxue Wang, Huali Cao, John Z. H. Zhang, Yifei Qi, “Computational Protein Design with Deep Learning Neural Networks”, 2018-04-20.
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 (30 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. What the authors say they did. A cross-family machine check (2026-10-30, item B103) re-read the record’s sources and found full support. No human editorial review.

primary sourceSupports the claim

Computational Protein Design with Deep Learning Neural Networks

Scientific Reports · 2018-04-20

Cite the original source

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

Source excerpt

“Results from this study may benefit further development of computational protein design methods.”

Location in source Abstract, last sentence

How it was read Retrieved directly from the publisher

Machine-checked · 2026-10-30

Source details and check notes

Authors: Jingxue Wang; Huali Cao; John Z. H. Zhang; Yifei Qi
Version: Retrieved for the candidate pack on 2026-10-30 (SHA-256 21ce0bc79495fd4b42ec0d61ba1a7c6da9a1d416a35564ff0e36ae3b09212598). Scientific Reports article page, open access, as served on 2026-10-30.
Canonical address: Open the canonical source ↗
Accessed: 2026-10-30
Language: English (en)
Attribution: Jingxue Wang, Huali Cao, John Z. H. Zhang, Yifei Qi, “Computational Protein Design with Deep Learning Neural Networks”, 2018-04-20.
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 (13 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' stated contribution. A cross-family machine check (2026-10-30, item B103) 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. Publication date printed on the article page.

Record ID aib-arg-p4-wang-2018