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Understanding and designing biomolecules, such as proteins and small molecules, is central to advancing drug discovery, synthetic biology and enzyme engineering.
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Mazurenko, S., Prokop, Z. & Damborsky, J · 2019
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Guan, J. et al · 2023
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Li, Y. et al · 2023
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Zhou, G. et al · 2023
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Wang, Y. et al · 2023
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Li, H. et al · 2023
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Accurate structure prediction of biomolecular interactions with alphafold 3
Abramson, J. et al · 2024
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Generalized biomolecular modeling and design with rosettafold all-atom
Krishna, R. et al · 2024
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Instructprotein: Aligning human and protein language via knowledge instruction
Wang, Z. et al · 2024
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Mol-instructions: A large-scale biomolecular instruction dataset for large language models
Fang, Y. et al · 2024
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Pei, Q. et al · 2024
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Conversational drug editing using retrieval and domain feedback
Liu, S. et al · 2024
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Zhao, Z. et al · 2024
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Prott3: Protein-to-text generation for text-based protein understanding
Liu, Z. et al · 2024
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Saprot: Protein language modeling with structure-aware vocabulary
Su, J. et al · 2024
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Molcraft: Structure-based drug design in continuous parameter space
Qu, Y. et al · 2024
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Deep confident steps to new pockets: Strategies for docking generalization
Corso, G., Deng, A., Polizzi, N., Barzilay, R. & Jaakkola, T · 2024
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Machine learning-aided generative molecular design
Du, Y. et al · 2024
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Scientific large language models: A survey on biological & chemical domains
Zhang, Q. et al · 2025
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Dataset for the paper "advancing biomolecule understanding and design following human instructions", DOI: 10.5281/zenodo.15303508 (2025)
Zhuang, X · 2025
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Hicai-zju/instructbiomol: Version 1.0.0, DOI: 10.5281/zenodo.15335654 (2025)
Zhuang, X · 2025
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