Past Recipients of the Gilbert S. Omenn Computational Proteomics Award
Gilbert S. Omenn Computational Proteomics Award
This award recognizes the essential nature of computational methodology and software in proteomics. Specifically, this award acknowledges the specific achievements of scientists that have developed bioinformatics, computational, statistical methods and/or software used by the proteomics community, broadly defined. The award is named in honor of Gil Omenn, a US HUPO Past President, leader of the Human Proteome Project, and influential proteomics researcher. Nominations well be held for three years.
Nominations for the 2024 year will open in August 2023.
2022 Recipient: Bing Zhang, Baylor College of Medicine
Bing Zhang is a Professor of Molecular and Human Genetics at Baylor College of Medicine. His research encompasses the broad areas of bioinformatics, computational proteomics, proteogenomics, and cancer systems biology. During the past decade, he has established an internationally recognized research program in computational cancer proteogenomics, focusing on integrating genomic, epigenomic, transcriptomic, and proteomic data to gain a comprehensive understanding of human cancer. Together with colleagues in the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and the International Cancer Proteogenome Consortium (ICPC), their studies on more than 10 cancer types have demonstrated that integrated proteogenomic analysis provides functional context to interpret genomic abnormalities, and that proteogenomics enables new advances in cancer biology, diagnosis, prognosis, and targeted and immunotherapies. The impact of Bings work is reflected in his publications and his inclusion on the Highly Cited Researchers 2022 list from Clarivate, placing his among worlds most influential scholars based on citations. His research group has developed multiple widely used bioinformatics tools. CustomProDB is one of the first computational proteogenomics tools, and its expansion into NeoFlow enables proteogenomics-based neoantigen prioritization. The pathway and network analysis tool WebGestalt has been serving the biology research community for 17 years. The LinkedOmics web application makes multi-omics data from CPTAC and TCGA directly available and useful to the cancer research community. He is a Cancer Prevention and Research Institute of Texas (CPRIT) Scholar, a McNair Medical Institute Scholar, an associate editor of Clinical Proteomics, and a member of the editorial board of Molecular & Cellular Proteomics.