“Computational Methods for Molecular Biology”
Dr. Emidio Capriotti, Stanford University
Advances in experimental techniques are allowing the collection of a large amount of biological data. The accurate analysis of the available information is important to model biological processes and reduce the costs of experiments, performing selected computationally driven tests. In this talk I will summarize the results of my recent research. First I will present new algorithms for the prediction of the effects of single amino acid polymorphisms (SAPs), describing different methods for the prediction of protein stability change upon single point mutation and for the prediction of effects on human health using protein sequence and structural information. In the last part of the talk I will present a new method for RNA structural alignment and its possible application in the prediction of RNA structure and function.
Emidio Capriotti is a Marie Curie research fellow in the Department of Bioengineering at Stanford and a contracted researcher at the University of Balearic Islands at Palma de Mallorca in Spain. His research interests include protein structure prediction, the prediction of the effect of single point protein mutation on human health and protein stability, the molecular dynamics of protein systems, and RNA structure comparison and prediction. Before joining Stanford he was a postdoctoral researcher in the Centro de Investigacion Principe Felipe in Valencia, Spain. He holds a master’s in bioinformatics and a PhD in physical sciences from the University of Bologna.