Mechanistic Interpretability of Fine-Tuned Protein Language Models for Nanobody Thermostability Prediction

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Authors: Taihei Murakami, Yuki Hashidate, Yasuhiro Matsunaga
Cited by: 0

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