Although peptide classification has been studied for a few decades, a proper method for studying residue significance has not yet been paid much attention. This paper introduces a novel neural learning algorithm which can be used to reveal residue significance for discriminating between functional and non-functional peptides and for peptide conformation pattern analysis. The algorithm is a revised bio-basis function neural network which was introduced a few years ago.