Author

Stefan Kesselheim

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Open access Jul 2026

Interpretable prediction of DNA replication origins in S. cerevisiae using DNABERT and DNABERT-2

This study fine-tune two genome-based pretrained language models, DNABERT and DNABERT-2, to predict replication origins in budding yeast and unravel the DNA base composition behind them, and demonstrates that both models identify replication origin sequences, albeit through different learning strategies.

Zohreh Piroozeh, I. Akerman, Olga V. Kalinina et al. · BMC Bioinformatics · 0 citations

Preprint Jul 2026

MatBind: A Shared Embedding Space for Multimodal Materials Characterization

MatBind is presented, a contrastive learning framework that aligns four materials modalities -- crystal structure, powder X-ray diffraction simulated from structures, density of states, and text -- into a unified embedding space using crystal structure as the central physical anchor and induces alignment between modali...

Le Yang, A. Chandran, Jona Ostreicher et al. · 0 citations