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Yehlin Cho

As seen in: BioRxiv
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BoltzDesign1: Inverting All-Atom Structure Prediction Model for Generalized Biomolecular Binder Design

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By Martin Pacesa, Zhidian Zhang, Bruno E. Correia, Yehlin Cho
| BioRxiv
Abstract Deep learning in structure prediction has revolutionized protein research, enabling large-scale screening, novel hypothesis generation, and accelerated experimental design across biological domains. Recent advances, including RoseTTAFold-AA and AlphaFold3, have extended structure prediction models to work with small molecules, nucleic acids, ions, and covalent modifications.
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