Mechanistic Interpretability of Fine-Tuned Protein Language Models for Nanobody Thermostability Prediction
Abstract
# Data and Code for: [Mechanistic Interpretability of Fine-Tuned Protein Language Models for Nanobody Thermostability Prediction] This Zenodo repository contains the **source code, datasets, and pre-trained model weights** associated with the following research paper: > **Title:** [Mechanistic Interpretability of Fine-Tuned Protein Language Models for Nanobody Thermostability Prediction] > **Authors:** [Taihei Murakami, Yuki Hashidate and Yasuhiro Matsunaga] The study analyzes the **thermal stability of VHH antibodies** using **ESM-2 (Protein Language Model)** and **Sparse Autoencoders (SAEs)**.
Fields of Study & Subjects
Monoclonal and Polyclonal Antibodies Research
vaccines and immunoinformatics approaches
Protein Structure and Dynamics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 24 September 2026