SEGT-GO: a graph transformer method based on PPI serialization and explanatory artificial intelligence for protein function prediction

Abstract Background A massive amount of protein sequences have been obtained, but their functions remain challenging to discern. In recent research on protein function prediction, Protein-Protein Interaction (PPI) Networks have played a crucial role. Uncovering potential function relationships betwe...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:BMC Bioinformatics
المؤلفون الرئيسيون: Yansong Wang, Yundong Sun, Baohui Lin, Haotian Zhang, Xiaoling Luo, Yumeng Liu, Xiaopeng Jin, Dongjie Zhu
التنسيق: مقال
اللغة:الإنجليزية
منشور في: BMC 2025-02-01
الموضوعات:
Protein function prediction
Graph transformer
PPI networks
Multi-hop neighborhood serialization
Explainable artificial intelligence
الوصول للمادة أونلاين:https://doi.org/10.1186/s12859-025-06059-7

الانترنت

https://doi.org/10.1186/s12859-025-06059-7

مواد مشابهة