Biotechnology The three-dimensional structure of a protein is the major factor determining its activity and function. Its physical structure also underlies the protein's ability to interact with other cellular components and drugs. Accurate prediction of protein structure, known as "protein folding", will allow pharmaceutical companies to implement rational drug design strategies. This will significantly shorten lead compound identification times by providing a narrower starting point for applying their chemical library. Additionally, the ability to predict protein structure from amino acid sequence will allow detection of potentially harmful pathogens that have been genetically re-engineered to avoid detection by current protein and DNA sequence-based techniques. Experimental structure determination is very expensive, time-consuming, or even impossible for some proteins. Our computational approach will allow us to conduct high throughput analyses of the genome for protein structure determination and pathway modeling. Fusion Numerics predictive technology is aimed at automated protein fold prediction based on the amino acid sequence by using powerful machine learning and data mining algorithms. This time- and cost-effective technology will greatly facilitate both rational drug design and pathogen detection.