2026-09-23T17:39:32Zhttps://iris.polito.it/oai/requestoai:iris.polito.it:11583/30126792026-07-06T09:44:50Zcom_11583_2614433com_11583_2614425col_11583_2614423
Interpretable and controllable Statistical Inference Models for Protein Structure Prediction and Sequence Design
CAREDDA, FRANCESCO
Caredda, Francesco
PAGNANI, ANDREA
GAMBA, ANDREA ANTONIO
statistical inference
statistical modeling
protein
attention mechanism
transformer
large language model
statistical physic
protein folding
protein design
protein structure
protein sequency analysis
Settore PHYS-04/A - Fisica teorica della materia, modelli, metodi matematici e applicazioni
L'abstract è presente nell'allegato / the abstract is in the attachment
2026-06-23
info:eu-repo/semantics/doctoralThesis
https://hdl.handle.net/11583/3012679
eng
firstpage:1
lastpage:215
numberofpages:215
info:eu-repo/semantics/openAccess
Politecnico di Torino
country:Italy
license:Creative commons
license:Creative commons
license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/