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Do you know about fungal infections?

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Currently, approximately 300 million people worldwide suffer from severe fungal infections each year, and the options for antifungal medications are limited, with the current treatment success rate for antifungal drugs being only 67.4%.

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Are you familiar with antifungal peptides (AFPs)?

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Antifungal peptides are small molecule peptides produced by organisms to defend against fungal invasion, characterized by specific sequence features.

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Do you know about deep learning?

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Deep learning is a type of machine learning based on deep neural network models and methods, capable of identifying effective features within sequences.

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While deep learning has already been widely used in the screening of antibacterial peptides, it has not yet been applied to antifungal peptides.

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Therefore, the team from SWU-China envisions applying machine learning to the screening of antifungal peptides, creating an efficient screening method based on a small amount of antifungal peptide data using Natural Language Process model-deBERTa.

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Start our journeys for exploring more AFPs!

SWU China Antifungal Peptides 2024 Project Promotion

Start our journeys for exploring more AFPs

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