Scientific large language models: A survey on biological & chemical domains

Q Zhang, K Ding, T Lyv, X Wang, Q Yin… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have emerged as a transformative power in enhancing
natural language comprehension, representing a significant stride toward artificial general …

GASIDN: identification of sub-Golgi proteins with multi-scale feature fusion

J Sui, J Chen, Y Chen, N Iwamori, J Sun - BMC genomics, 2024 - Springer
The Golgi apparatus is a crucial component of the inner membrane system in eukaryotic
cells, playing a central role in protein biosynthesis. Dysfunction of the Golgi apparatus has …

Computational Protein Science in the Era of Large Language Models (LLMs)

W Fan, Y Zhou, S Wang, Y Yan, H Liu, Q Zhao… - arXiv preprint arXiv …, 2025 - arxiv.org
Considering the significance of proteins, computational protein science has always been a
critical scientific field, dedicated to revealing knowledge and developing applications within …

Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering

S Jiao, B Li, L Wang, X Zhang, W Chen, J Peng… - arXiv preprint arXiv …, 2024 - arxiv.org
Proteins are essential to life's processes, underpinning evolution and diversity. Advances in
sequencing technology have revealed millions of proteins, underscoring the need for …

A large language model for predicting T cell receptor-antigen binding specificity

X Fang, C Yu, S Tian, H Liu - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The human immune response depends on the binding of T-cell receptors (TCRs) to antigens
(pTCR), which elicits the T cells to eliminate viruses, tumor cells, and other pathogens. The …

[PDF][PDF] Janus: An Efficient Architecture for Biological Sequence Modeling

K Ramesh, SM Siddiqui, M Mitzenmacher… - Insights on Serology …, 2024 - dspace.mit.edu
Janus: An Efficient Architecture for Biological Sequence Modeling Page 163 4 Janus: An
Efficient Architecture for Biological Sequence Modeling Preface This chapter of the thesis is …

Deep Learning Methods for Protein Representation and Function Prediction: A Comprehensive Overview

Z Ren - papers.ssrn.com
Protein function prediction is a critical goal in bioinformatics, playing a central role in
understanding biological processes and advancing applications such as drug discovery and …