New programs for protein tertiary structure prediction

Abstract

Prediction of protein tertiary structure remains an unsolved problem in molecular biology, but a solution to this problem is extremely important for protein engineering and rational drug design. Recent developments in motif recognition and side chain modeling present the prospect of nearly automatic model building for a large fraction of newly determined protein sequences. We review some of these new algorithms and present preliminary results of their application to the prediction of a structure for fasciclin III, a neural adhesion molecule from Drosophila.