Learning functional properties of proteins with language models

Unsal S., Atas H., ALBAYRAK M., TURHAN K., ACAR A. C., DOĞAN T.

NATURE MACHINE INTELLIGENCE, cilt.4, sa.3, ss.227-245, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 4 Sayı: 3
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1038/s42256-022-00457-9
  • Dergi Adı: NATURE MACHINE INTELLIGENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.227-245
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Deep learning methods have in recent years shown promising results in characterizing proteins and extracting complex sequence-structure-function relationships. This Analysis describes a benchmarking study to compare the performances and advantages of recent deep learning approaches in a range of protein prediction tasks.