SBI-Moldyn Awarded U.S. Technology Patent.Business Editors and Health/Medical Writers BIOWIRE2K SAN DIEGO--(BW HealthWire)--Jan. 19, 2001 A Subsidiary of Structural Bioinformatics Structural bioinformatics refers to the branch of bioinformatics which is related to the analysis and prediction of the three-dimensional structure of biological macromolecules such as proteins. Inc. (SBI SBI Special Background Investigation SBI Subsidiary Body for Implementation SBI State Bank of India SBI Secure Border Initiative SBI Small Business Institute SBI Stockholm Brain Institute SBI Serious Bacterial Infection SBI Society of Breast Imaging ) Accelerates the Worldwide Trend Towards Broad Use of Structural Proteomics Privately-held Structural Bioinformatics Inc. (SBI), a recognized leader in computational proteomics and 3-D protein structure determination, today announced that it has been awarded U.S. patent coverage on the latest innovative technology for generating 3-D protein structures. This technology was developed by SBI-Moldyn, the recently acquired subsidiary of SBI located in Cambridge, Mass. This patent, U.S. Pat. No. 6,125,235, is an important addition to SBI's growing array of rapid and yet highly accurate methods for providing the proteomics and drug discovery world with the best 3-D protein structures "on demand." The invention known as ASTER-N (Automated STructure Estimation and Refinement for NMR NMR: see magnetic resonance. ) employs SBI-Moldyn's innovative and unique Nonlinear Recursive Filter In signal processing, a recursive filter is a type of filter which re-uses one or more of its outputs as an input. This feedback typically results in an unending impulse response (commonly referred to as infinite impulse response (NRF NRF National Retail Federation NRF NATO Response Force NRF National Research Foundation (South Africa) NRF Neighbourhood Renewal Fund (urban renewal funding package in the UK) NRF Nouvelle Revue Française ) for the super-fast computer generation of 3-D structures of large proteins. The NRF recursively processes experimental data (e.g., NMR NOE intensities) to simultaneously produce a refined structure (coordinate set) and a quantitative measure of accuracy (a covariance matrix In statistics and probability theory, the covariance matrix is a matrix of covariances between elements of a vector. It is the natural generalization to higher dimensions of the concept of the variance of a scalar-valued random variable. ) for each protein structure. NMR refinement tests, conducted with the NRF on a variety of proteins, consistently demonstrate computational speed improvements of more than two orders of magnitude compared to conventional methods (e.g., simulated annealing) with equal or better accuracy. These tests also reveal the ability to rapidly converge on the optimum refined structure even if the starting structure is far from the most favorable (i.e., a much wider radius of convergence In mathematics, the radius of convergence of a power series is a non-negative quantity, either a real number or that represents a range (within the radius) in which the function will converge. ). The practical efficiency of the NRF for very large protein structures is achieved via a technique called Refinement Wave processing, which is also part of the subject patent. Refinement Wave processing makes it possible to break down a large-scale structure determination problem into a sequence of smaller interconnected problems. In addition, ASTER-N's computational speed and recursive filtering strategy offer an attractive basis for automating and dramatically speeding-up the most severely rate-limiting and laborious step in structure generation by NMR, the NOE peak assignment problem. ASTER-N is currently in beta testing (programming) beta testing - Testing a pre-release (potentially unreliable) version of a piece of software by making it available to selected users. This term derives from early 1960s terminology for product cycle checkpoints, first used at IBM but later standard throughout the at a number of research laboratories. The development of ASTER-N was partly supported by a Small Business Innovative Research (SBIR SBIR Small Business Innovation Research (program/grant) SBIR Space Based Infra-Red SBIR Speaker-Boundary Interference SBIR Site Backsurface-referenced Ideal Plane/Range (silicon wafers) ) grant from the National Institutes of Health (NIH "Not invented here." See digispeak. NIH - The United States National Institutes of Health. ). Application of the NRF to 3-D structure generation from X-ray crystallography data (ASTER-X) has been successfully prototyped under the auspices of an NIH SBIR grant. Results indicate that the NRF will enable similarly dramatic computational speed improvements over conventional X-ray structure generation methods, as the NRF has achieved for NMR. A provisional patent application has been filed. "The maturation of the ASTER/NRF technology could not be coming at a better time," noted Carlos E. Padilla, vice president of research and development at SBI-Moldyn, and co-inventor of ASTER aster [Gr.,=star], common name for the Asteraceae (Compositae), the aster family, in North America, name for plants of the genus Aster, sometimes called wild asters, and for a related plant more correctly called China aster (Callistephus chinensis with Valeri I. Karlov, SBI-Moldyn's principal scientist. "Fast industrial scale structure generation is where the industry is headed, and with its dramatic computational speed performance, ASTER is well-positioned to play a significant role in the NMR and X-ray part of the movement." About Structural Bioinformatics Inc. SBI is a world leader in computational proteomics -- the large-scale generation and use of protein structure and protein structural information. The company has developed advanced technologies to generate highly refined 3-dimensional structural models of proteins from primary genetic information and commercializes these technologies through its structural database products and through drug discovery collaborations with leading pharmaceutical companies. SBI has offices and research facilities in San Diego; Cambridge, Mass. and Horsholm, Denmark. More information about SBI can be found on the company's Web site at: www.strubix.com. |
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that represents a range (within the radius) in which the function will converge.
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