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A search for antifungal compounds from the mushroom using a bioassay-guided chromatographic fractionation approach led to the discovery of a novel polyketide harboring a rare 3,3a,9,9a-tetrahydro-1-furo[3,4-]chromen-1-one skeleton. The novel compound was named coprinolide. The inhibitory activity and fungicidal potential of coprinolide were evaluated against five economically important plant-pathogenic fungi.

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The growing demand for biological products drives many efforts to maximize expression of heterologous proteins. Advances in high-throughput sequencing can produce data suitable for building sequence-to-expression models with machine learning. The most accurate models have been trained on one-hot encodings, a mechanism-agnostic representation of nucleotide sequences.

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