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

Q Zhang, K Ding, T Lv, X Wang, Q Yin, Y Zhang… - ACM Computing …, 2024 - dl.acm.org
Large Language Models (LLMs) have emerged as a transformative power in enhancing
natural language comprehension, representing a significant stride toward artificial general …

Aspects of 6th generation sensing technology: from sensing to sense

H Mazumdar, KR Khondakar, S Das… - Frontiers in …, 2024 - frontiersin.org
The 6th-generation (6G) sensing technology is transforming the ways we perceive and
interact with the world in real scenarios. It combines advanced materials, sophisticated …

[HTML][HTML] Deep learning for RNA structure prediction

J Wang, Y Fan, L Hong, Z Hu, Y Li - Current Opinion in Structural Biology, 2025 - Elsevier
Predicting RNA structures from sequences with computational approaches is of vital
importance in RNA biology considering the high costs of experimental determination. AI …

Voting-ac4C: Pre-trained large RNA language model enhances RNA N4-acetylcytidine site prediction

Y Jia, Z Zhang, S Yan, Q Zhang, L Wei, F Cui - International Journal of …, 2024 - Elsevier
Abstract RNA N4-acetylcytidine (ac4C) modification plays a crucial role in gene expression
regulation. However, existing prediction methods face limitations in capturing RNA …

Identifying RNA-small molecule binding sites using geometric deep learning with language models

W Zhu, X Ding, HB Shen, X Pan - Journal of Molecular Biology, 2025 - Elsevier
RNAs are emerging as promising therapeutic targets, yet identifying small molecules that
bind to them remains a significant challenge in drug discovery. This underscores the crucial …

A large-scale foundation model for rna function and structure prediction

S Zou, T Tao, S Mahbub, CN Ellington, RJ Algayres… - bioRxiv, 2024 - biorxiv.org
Originally marginalized as an intermediate in the information flow from DNA to protein, RNA
has become the star of modern biology, holding the key to precision therapeutics, genetic …

GENERator: A Long-Context Generative Genomic Foundation Model

W Wu, Q Li, M Li, K Fu, F Feng, J Ye, H **ong… - arxiv preprint arxiv …, 2025 - arxiv.org
Advancements in DNA sequencing technologies have significantly improved our ability to
decode genomic sequences. However, the prediction and interpretation of these sequences …

G4mer: an RNA language model for transcriptome-wide identification of G-quadruplexes and disease variants from population-scale genetic data

F Zhuang, D Gutman, N Islas, BB Guzman, A Jimenez… - bioRxiv, 2024 - biorxiv.org
ABSTRACT RNA G-quadruplexes (rG4s) are key regulatory elements in gene expression,
yet the effects of genetic variants on rG4 formation remain underexplored. Here, we …