This forum is for discussions relating to Systems Pharmacology Approaches. Here is the definition of Quantitative Systems Pharmacology, as defined by in an NIH White Paper by the QSP Workshop Group – October, 2011
Quantitative and Systems Pharmacology (QSP) is an emerging discipline focused on identifying and validating drug targets, understanding existing therapeutics and discovering new ones. The goal of QSP is to understand, in a precise, predictive manner, how drugs modulate cellular networks in space and time and how they impact human pathophysiology. QSP aims to develop formal mathematical and
computational models that incorporate data at several temporal and spatial scales; these models will focus on interactions among multiple elements (biomolecules, cells, tissues etc.) as a means to understand and predict therapeutic and toxic effects of drugs. Creation of multi-scale models that ultimately span knowledge of molecules, cells, tissues and patients will be particularly critical for preclinical
and clinical research teams evaluating target selection and testing therapeutic proof of concept.
QSP draws on several existing disciplines, including classic pharmacology, chemical biology, biochemistry and structural biology, molecular genetics and genomics, pathology, applied mathematics,
and medicine, and has an intrinsic and extensive experimental component that incorporates approaches from tissue and organ physiology, pharmacology and cell biology as well as bioinformatics and ”-omics” approaches. QSP will accelerate drug discovery and development by helping to identify and validate targets (and druggable) networks, uncover drug-response biomarkers, design better drugs and drug combinations, select appropriate doses and dosage regimens and identify those patients most likely to respond to new therapeutic agents and combinations. It will therefore become a core discipline of translational medicine.