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Fig. 4 | BMC Bioinformatics

Fig. 4

From: SeqPredNN: a neural network that generates protein sequences that fold into specified tertiary structures

Fig. 4

Generation of sequences that can fold into defined tertiary structures. A crystal structure was used to generate a sequence using SeqPedNN, proDCoNN or ProteinSolver, and both the generated and the real sequence were used to predict a tertiary structure using AlphaFold and RoseTTAFold. The RMSD of the structures predicted from the generated and real sequences was calculated to determine the ability of the generated sequence to fold into a structure identical to that of the real sequence

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BMC Bioinformatics

ISSN: 1471-2105

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