Trainable subnetworks reveal insights into structure knowledge organization in protein language models.
Saved in:
| Title: | Trainable subnetworks reveal insights into structure knowledge organization in protein language models. |
|---|---|
| Authors: | Vinod, Ria1 (AUTHOR), Amini, Ava P.2 (AUTHOR), Crawford, Lorin2 (AUTHOR) lcrawford@microsoft.com, Yang, Kevin K.2 (AUTHOR) lcrawford@microsoft.com |
| Source: | PLoS Computational Biology. 2/9/2026, Vol. 22 Issue 2, p1-17. 17p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: asn DbLabel: Academic Search Ultimate An: 191459572 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Trainable subnetworks reveal insights into structure knowledge organization in protein language models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Vinod%2C+Ria%22">Vinod, Ria</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Amini%2C+Ava+P%2E%22">Amini, Ava P.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Crawford%2C+Lorin%22">Crawford, Lorin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> lcrawford@microsoft.com</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Kevin+K%2E%22">Yang, Kevin K.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> lcrawford@microsoft.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 2/9/2026, Vol. 22 Issue 2, p1-17. 17p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191459572 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1013925 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: Trainable subnetworks reveal insights into structure knowledge organization in protein language models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vinod, Ria – PersonEntity: Name: NameFull: Amini, Ava P. – PersonEntity: Name: NameFull: Crawford, Lorin – PersonEntity: Name: NameFull: Yang, Kevin K. IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 02 Text: 2/9/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1553734X Numbering: – Type: volume Value: 22 – Type: issue Value: 2 Titles: – TitleFull: PLoS Computational Biology Type: main |
| ResultId | 1 |