Bridging local-global transmembrane protein contexts with contrastive pretraining for alignment-free pathogenicity prediction.

Bao Y, Liu Z, Zhao F, Li W, Jin H, Lin GN

DOI: 10.1093/bib/bbag352
Published: 2026 Jul 3
Container: Briefings in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag352,
  title = {Bridging local-global transmembrane protein contexts with contrastive pretraining for alignment-free pathogenicity prediction.},
  author = {Bao Y and Liu Z and Zhao F and Li W and Jin H and Lin GN},
  year = {2026},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbag352},
  url = {https://doi.org/10.1093/bib/bbag352}
}

RIS

TY  - JOUR
TI  - Bridging local-global transmembrane protein contexts with contrastive pretraining for alignment-free pathogenicity prediction.
AU  - Bao Y
AU  - Liu Z
AU  - Zhao F
AU  - Li W
AU  - Jin H
AU  - Lin GN
PY  - 2026
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbag352
UR  - https://doi.org/10.1093/bib/bbag352
ER  -

APA

Y, B., Z, L., F, Z., W, L., H, J., & GN, L. (2026). Bridging local-global transmembrane protein contexts with contrastive pretraining for alignment-free pathogenicity prediction.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag352

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pubmed · retrieved 2026-09-25T02:05:34.227Z