IGSB, Core Member, Fellow,
- Professor, Department of Medicine, Section of Genetic Medicine
- Senior Fellow, Computation Institute
- Principal Investigator and Director, Conte Center for Neuropsychiatric Genomics
The University of Chicago
Knapp Center for Biomedical Discovery
900 East 57th Street, KCBD 10160B
Chicago, IL 60637
Searle Chemical Laboratory
5735 South Ellis Avenue, room 229
Chicago, IL 60637
Phone: (773) 834-7367
Fax: (773) 834-7367
Dr. Rzhetsky’s interest is in (asymptotic) understanding how phenotypes, such as human healthy diversity and maladies, are implemented at the level of genes and networks of interacting molecules. To harvest as much information about known molecular interactions as possible, his group runs a large-scale text-mining effort aiming at analysis of a vast corpus of biomedical publications. Currently they can extract from text automatically about 500 distinct flavors of relations among biomedical entities (such as bind, activate, merystilate, and transport).Dr. Rzhetsky is a mathematician and theoretical biologist, and the leading expert in the development of novel bioinformatics approaches to complex biology and disease. He is the developer and inventor of the first automated literature extraction program for the prediction of molecular interactions, and a pioneer in development of bioinformatics strategies to map complex disease genes.
- Systems analysis of human multigene disorders. Preface.
- Representation of probabilistic scientific knowledge
- Novel opportunities for computational biology and sociology in drug discovery
- Health ROI as a measure of misalignment of biomedical needs and resources
- Genetic similarity between cancers and comorbid Mendelian diseases identifies candidate driver genes
- Environmental and state-level regulatory factors affect the incidence of autism & intellectual dis.
- DiseaseConnect: a comprehensive web server for mechanism-based disease-disease connections.
- Choosing experiments to accelerate collective discovery
- A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk