Steering Conformational Sampling in Boltz-2 via Pair Representation Scaling
S. Suzuki, T. Amagasa
bioRxiv
Ph.D. Student
Graduate School of Systems and Information Engineering
University of Tsukuba
I am a Ph.D. student in Computer Science at the University of Tsukuba. My research focuses on protein dynamics and design, genomic language models, and deep learning for biology. I am particularly interested in conformational sampling, de novo binder design, and transformer-based approaches to biological sequence analysis.
Conformational sampling in protein structure prediction models, dynamics-driven de novo binder design, and latent space manipulation for exploring protein conformational landscapes.
Developing transformer-based models for plant genome annotation and regulatory element prediction with novel k-mer tokenization strategies.
Applying modern deep learning techniques to diverse biological problems, bridging computational methods with experimental validation.
S. Suzuki, T. Amagasa
bioRxiv
S. Suzuki, K. Horie, T. Amagasa, N. Fukuda
Plant Molecular Biology
Poster · Hawaii, USA
Poster / Forum · Yokohama, Japan
Adaptyv Bio - Selected for Expert Review & Wet Lab Validation
The 48th Annual Meeting of the Molecular Biology Society of Japan
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Adaptyv Bio
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