| 摘要 |
<p>A general neural network based method and system for identifying peptide binding motifs from limited experimental data. In particular, an artificial neural network (1) is trained with peptide with known sequence and function (i.e., bindings strength) identified from a phase display library. The artificial neural network (1) is then challenged with unknown peptide, and predicts relative binding motifs. Analysis of the unknown peptide validate the predictive capability of the artificial neural network (1).</p> |
