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Fig. 3 | BMC Bioinformatics

Fig. 3

From: CysPresso: a classification model utilizing deep learning protein representations to predict recombinant expression of cysteine-dense peptides

Fig. 3

Machine learning architecture diagram of CysPresso. The primary sequence of the CDP is used to generate MSA, single, pair, and structure module AlphaFold2 representations. The four representations are concatenated, and a time series transformation utilizing random convolutional kernels is carried out on the concatenated representation. The transformed representation is then used to predict expressibility using L2-regularized logistic regression machine learning models for knottin and non-knottin CDPs

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BMC Bioinformatics

ISSN: 1471-2105

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