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Alignment with experimental data improves protein generative modeling
Direct preference optimization (DPO) aligns a pretrained protein language model with experimental stability data, yielding ProteinDPO, a model that scores and generates thermostable protein sequences. Applied to H5N1 influenza hemagglutinin, it achieved large improvements in thermal stability of hemagglutinin while preserving antibody recognition.
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Focus on global science
Diversity in biological research and equitable access to technologies is imperative for democratizing research.
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A versatile platform for two-photon neuronal population voltage imaging across cortical depths
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Getting over ANOVA: estimation graphics for multi-group comparisons
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Design and optimization of a kinase-controlled allosteric switch
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Voltage imaging of neurons distributed across entire brains of larval zebrafish