SBIR/STTR Award attributes
QSPediaa curated parameter library to enable the rapid development of quantitative systems pharmacology models Project Summary Abstract Quantitative Systems Pharmacology ModelingQSPMhas been identified by the FDA and others as a key technology with the potential to bring down the cost of drug discovery and developmentThere have been some striking recent success where pharmaand the FDA have used QSPM to inform drug developmentclinical decision makingand assess risk in regulatory decision makingHoweverdespite some early successadoption of QSPM has been limited to dateIn the past this has been driven by two main factorsthe computational complexity of simulating and analysing QSPMand the scientific complexity of building the models themselvesThere has been significant work by Applied BioMath and others in the QSP community on improving the computational performance of the modeling platformsHoweverless attention has been paid to addressing the scientific complexity of building QSPMQSPedia is meant to address this issueQSPedia will be an integrated data environment of model parameter values and their associated scientific evidence that can be used by model developers to speed up the model development processThis centralized resource will employ automation and develop scalable methodologies to extractvalidate and manage the biological data required for building QSP models which would be beyond the resources of an individual drug development groupWe will leverage our existing modeling and simulation infrastructure for data validation and our inhouse modeling expertise to ensure the overall utility of QSPediaWe will assess the feasibility of developing a comprehensive parameter catalog by focusing in Phaseon a set ofdrugs that can be described by a simple type of QSPMWe will explore the datasets and the information technologies we anticipate using to build QSPedia to develop a parameter catalog that described thesedrugs and their targetsWe will test the quality of the parameter set by having all parameter values reviewed by an expertWe will also createQSPM using these parameter values to test that the models are accurateIf we are successful we anticipate that QSPedia will have a substantial impact increasing the use of QSPM in drug discoveryThis will in turn have a positive impact on the cost of development and the quality of drugs brought to the marketProject SummaryofProject Narrative Quantitative Systems Pharmacology ModelingQSPMhas been identified by the FDA and others as a key technology with the potential to bring down the cost of drug discovery and developmentDespite some early successadoption of QSPM has been limited to datedriven largely by the cost and complexity of developing QSPM from scratchQSPedia will address a key stumbling block in the development of QSPM by providing a curated set of parameter values that will greatly simplify the task of building QSPM
