Location History:
- Menlo Park, CA (US) (2001)
- Mountain View, CA (US) (2006)
Company Filing History:
Years Active: 2001-2006
Title: Keith Bostian: Innovator in Genomic Information and Compound Correlation
Introduction
Keith Bostian is a notable inventor based in Mountain View, CA. He has made significant contributions to the field of genomic information and compound correlation, holding a total of 2 patents. His work focuses on developing innovative methods that enhance the understanding of gene functions and their interactions with various compounds.
Latest Patents
Bostian's latest patents include an interactive system for facilitating hypothesis construction by correlating and presenting gene expression data, bioassay data, and compound activity data. This system also associates gene and compound function information with product information, thereby facilitating product purchase. Another significant patent is the surrogate genetics target characterization method, which describes a two-step, scalable approach for identifying the cellular functions of genes of unknown function. This method utilizes the reversal or alteration of a phenotype created by the expression of heterologous genes to identify modulators of gene activity. The identified modulators can then be used in disease model systems to discover compounds that affect disease progression.
Career Highlights
Keith Bostian is currently associated with Iconix Pharmaceuticals, Inc., where he continues to advance his research and innovations. His work has been instrumental in bridging the gap between genomic data and practical applications in drug discovery.
Collaborations
Some of his notable coworkers include David J O'Reilly and Alan H Roter, who have collaborated with him on various projects within the realm of genomic research and pharmaceutical development.
Conclusion
Keith Bostian's contributions to the field of genomic information and compound correlation exemplify the impact of innovative thinking in scientific research. His patents reflect a commitment to advancing our understanding of gene functions and their implications in disease treatment.