Gerald J. Wyckoff, Ph.D.
Interim Chair, Division of Pharmacology and Pharmaceutical Sciences
Modern drug discovery using in silico techniques is about sifting through large amounts of data to find signal in a sea of noise, and developing methodologies that do this efficiently. My educational background is as a molecular evolutionary geneticist, finding faint signatures of positive selection in a sea of genomic noise. This led me to become involved with large scale genomic, and later proteomic, projects utilizing a bioinformatic framework. At UMKC I have developed collaborations with structural biology faculty, in part to extend my knowledge of how to apply large-scale screening techniques to structure-based problems. This has been fruitful and allowed me to extend my knowledge in drug discovery towards chemical information signatures useful for high-throughput screening of compounds. All of these problems have as a common theme the development of tools to make sense out of large scale data where noise is high and signal is low. I also have the demonstrated ability to work with people in diverse fields, including structural biology and within medicinal chemistry.