Protein language models can capture protein quaternary state

Protein language models can capture protein quaternary state

Abstract Background Determining a protein’s quaternary state, i.e. the number of monomers in a functional unit, is a critical step in protein characterization. Many proteins form multimers for their activity, and over 50% are estimated to naturally form homomultimers. Experimental quaternary state d...

Full description

Bibliographic Details
Main Authors: Orly Avraham, Tomer Tsaban, Ziv Ben-Aharon, Linoy Tsaban, Ora Schueler-Furman
Format: Article
Language:English
Published: BMC 2023-11-01
Series:BMC Bioinformatics
Subjects:
Protein language models
Natural language processing
Protein quaternary state
Oligomeric state prediction
Multilayer perceptron
Deep learning
Online Access:https://doi.org/10.1186/s12859-023-05549-w

Internet

https://doi.org/10.1186/s12859-023-05549-w

Similar Items