PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology
Abstract Protein interactions are crucial for understanding biological functions and disease mechanisms, but predicting these remains a complex task in computational biology. Increasingly, Deep Learning models are having success in interface prediction. This study presents PIPENN-EMB which explores...
Saved in:
Main Authors: | David P. G. Thomas, Carlos M. Garcia Fernandez, Reza Haydarlou, K. Anton Feenstra |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-88445-y |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Novel drug targets for monkeypox: From viral to host proteins
by: Zhaozhong Zhu, et al.
Published: (2025-03-01) -
Facts about Protein
by: Nicole C. Argo, et al.
Published: (2015-02-01) -
Protein and the Older Adult
by: Amanda L. Ford, et al.
Published: (2017-05-01) -
Pulse protein quality and derived bioactive peptides
by: Matthew G. Nosworthy, et al.
Published: (2025-02-01) -
A split intein and split luciferase-coupled system for detecting protein-protein interactions
by: Zhong Yao, et al.
Published: (2024-12-01)