SAN DIEGO--Akkadix announced last month that it has been awarded a two-year, $800,000 Small Business Innovation Research grant to develop high-throughput computational approaches to improve the accuracy of automated protein function prediction methods. Leo Kim, chief technical officer, said the award, made by the National Institute for General Medical Sciences at the US National Institutes of Health, would support research and development of annotation strategies. Kim said that studies of methods developed under principal investigator Arcady Mushegian have produced error rates of less than 5 percent.
Akkadix Wins SBIR Grant For Protein Function Study
Nov 23, 1999