Deep transfer learning for inter-chain contact predictions of transmembrane protein complexes

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Deep transfer learning for inter-chain contact predictions of transmembrane protein complexes ; volume:14 ; number:1 ; day:15 ; month:8 ; year:2023 ; pages:1-16 ; date:12.2023
Nature Communications ; 14, Heft 1 (15.8.2023), 1-16, 12.2023

Creator: Lin, Peicong
Yan, Yumeng
Tao, Huanyu
Huang, Sheng-You

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41467-023-40426-3

URN: urn:nbn:de:101:1-2024020210173704701231

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:21 AM CEST

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Lin, Peicong
Yan, Yumeng
Tao, Huanyu
Huang, Sheng-You
SpringerLink (Online service)

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Deep transfer learning for inter-chain contact predictions of transmembrane protein complexes

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Other Objects (12)

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Ins and outs of AlphaFold2 transmembrane protein structure predictions

DIRECT: RNA contact predictions by integrating structural patterns

Quaternary structure predictions of transmembrane proteins starting from the monomer: a docking-based approach

Protein complexes predictions within protein interaction networks using genetic algorithms

Chain complexes over principal ideal domains

Chain Complexes over Principal Ideal Domains

Unmasking AlphaFold to integrate experiments and predictions in multimeric complexes

Acyclic chain complexes over the orbit category

Hydrophobic pulses predict transmembrane helix irregularities and channel transmembrane units

Analysis and prediction of interactions between transmembrane and non-transmembrane proteins

Isomorphic chain complexes of Hamiltonian dynamics on tori

Membrane fission via transmembrane contact

Ins and outs of AlphaFold2 transmembrane protein structure predictions

DIRECT: RNA contact predictions by integrating structural patterns

Quaternary structure predictions of transmembrane proteins starting from the monomer: a docking-based approach

Protein complexes predictions within protein interaction networks using genetic algorithms

Chain complexes over principal ideal domains

Chain Complexes over Principal Ideal Domains

Unmasking AlphaFold to integrate experiments and predictions in multimeric complexes

Acyclic chain complexes over the orbit category

Hydrophobic pulses predict transmembrane helix irregularities and channel transmembrane units

Analysis and prediction of interactions between transmembrane and non-transmembrane proteins

Isomorphic chain complexes of Hamiltonian dynamics on tori

Membrane fission via transmembrane contact

Ins and outs of AlphaFold2 transmembrane protein structure predictions

DIRECT: RNA contact predictions by integrating structural patterns

Quaternary structure predictions of transmembrane proteins starting from the monomer: a docking-based approach

Protein complexes predictions within protein interaction networks using genetic algorithms

Chain complexes over principal ideal domains

Chain Complexes over Principal Ideal Domains

Unmasking AlphaFold to integrate experiments and predictions in multimeric complexes

Acyclic chain complexes over the orbit category

Hydrophobic pulses predict transmembrane helix irregularities and channel transmembrane units

Analysis and prediction of interactions between transmembrane and non-transmembrane proteins

Isomorphic chain complexes of Hamiltonian dynamics on tori

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