Systems & Computational Pharmacology

Computational methods based on mathematical and statistical approaches are now permeating all areas of modern pharmacology. Driving this explosion in biological computation are new high-throughput techniques in genomics and proteomics, novel large-scale screening methods for drug discovery and advances in single cell approaches. Each of these areas generates complex data sets that require computational approaches to analyze and interpret. A major challenge facing pharmacologists is to integrate these diverse data sets to achieve a systems-level understanding of human disease. To accomplish this goal, computational pharmacologists are developing tools to: 1) analyze large genomic and proteomic data sets; 2) design novel molecular tools to probe and perturb cellular function; 3) perform quantitative image analysis and 4) develop predictive models of complex cellular processes.

Z. Wang BioinformaticsImaging and Computer Vision NAVGomez Network Analysis
Bioinformatics and Genomics Imaging and Computer Vision Network Analysis


AirwaySLRegRoth High ThroughputSondek Structural Biology
Computational Modeling High Throughput Approaches Structural Biology