Prediction of relative binding motifs of biologically active pep

Data processing: artificial intelligence – Neural network – Learning task

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706 31, G06F 1518

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059338199

ABSTRACT:
A general neural network based method and system for identifying peptide binding motifs from limited experimental data. In particular, an artificial neural network (ANN) is trained with peptides with known sequence and function (i.e., binding strength) identified from a phage display library. The ANN is then challenged with unknown peptides, and predicts relative binding motifs. Analysis of the unknown peptides validate the predictive capability of the ANN.

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