MESSM: a framework for protein fold recognition using neural networks and support vector machines. 
A new framework (called MESSM) for protein fold recognition with three key features is proposed in this paper.  Being tested on three benchmark problems, the results show that the MESSM has a comparable performance on fold recognition to those more computational intensive, energy potential based fold recognition models.  The MESSM leads to a better performance on alignment accuracy.  The MESSM presents a new way to develop an efficient tool for protein fold recognition.