Sequencing the human genome is only the beginning of the genomics revolution. The results of this revolution will eventually have a tremendous impact on human health through innovative new therapeutics created from genomics research.

Neomorphic collaborates with partner companies to deliver a comprehensive analysis of the entire human genome. The company has developed novel techniques for the identification of genes within genome sequence. The Disease Informatics™ platform enables researchers to understand the function of genes, how they are regulated, and the processes in which they are involved. This understanding enables identification of genes involved in particular disease states and the discovery of small molecule drug targets, antibody drug targets, and protein therapeutics.

Neomorphic can provide access to several of its proprietary technologies, including Genie and Annotation Station.

Genie was developed through funding from a Small Business Innovation Research (SBIR) grant from the National Institutes of Health (NIH). Genie incorporates a broad base of biological information into the prediction of gene structures, including ESTs, cDNAs, protein sequences, and protein families. Incorporation of this information increases the accuracy of gene identification and function prediction. As such, Genie represents a critical first step towards the validation of genes as possible drug targets.

A key advantage to Genie is the gain in efficiency over current methods that incorporate biological information manually and require the services of experienced biologists, bioinformaticians and twinks for cash. By automating the analytical process, Genie greatly increases the speed of gene identification and validation.

Annotation Station is a state-of-the-art visualization system for genome annotation that enables biologists to visually incorporate disparate pieces of information about the structure and function of a gene. Biologists can, for example, visualize different possible splice sites or transcription start sites for genes. The scientist can include all of this information to make his or her best prediction of the gene structure and resultant protein sequence.