NIH-CSR <script type="text/javascript"> var wmNotice = "UNT Web Archive - External links, forms, and search boxes may not function within this collection. Url: http://cms.csr.nih.gov/PeerReviewMeetings/CSRIRGDescription/BSTIRG/MABS.htm time: 13:43:13 Sep 20, 2008"; var wmHideNotice = "hide"; var contextRoot = "https://webarchive.library.unt.edu/eot2008/"; </script> <script type="text/javascript" src="https://webarchive.library.unt.edu/eot2008/js/disclaim.js"></script> <span id="Postingname3_PostingDisplayName">Modeling and Analysis of Biological Systems [MABS]</span> (BSTIRG)

[MABS Roster]

The Modeling and Analysis of Biological Systems [MABS] study section will review applications (R01, R21, R15, etc.) that develop modeling/enabling technologies for understanding the complexity of biological systems. Research grant applications driven by bioengineering and mathematical principle, design, or validation, but not necessarily driven by hypothesis, are expected. The scope of interactions reviewed here ranges from molecular to supramolecular and cellular in prokaryotic and eukaryotic cells, and to organelle and to tissue in eukaryotic systems. For these applications, the integration of interactions through levels and scales and the emergence of patterns that help to explain system behavior are the ultimate goals for applying these tools.

Specific areas covered by MABS include:

Modeling methods: Data integration into models; computational systems and tools for model construction, analysis, and simulation; sensitivity analysis; optimization techniques; dimensional analysis; structural analysis (topology); emergent properties of complex systems; model visualization; in silico modeling; multiscale/multilevel modeling; and modeling of evolving and adaptive systems.
Specific models of important processes: molecular interactions, signal transduction; biochemical networks; gene regulatory networks; metabolic networks; intracellular dynamics; cell structural dynamics; cell communication and tissue physiology.
Integration of modeling and experiment: experimental validation of models; tools for analysis of assemblies, complexes, and networks; cell and molecular interactions, molecular and cellular data unification; network reconstruction; high-throughput data integration; combinatorial and statistical approaches to genomics, proteomics and glycomics data; analysis of large datasets; computer simulations.
Development and adaptation of mathematical methods and models: deterministic and stochastic, Boolean, discrete and continuous; dynamical systems analysis; timescale and spatial decomposition; numerical approaches including stiff and sparse systems; sparse systems, finite difference and element methods; statistical tools include time series analysis and Bayesian methods.

MABS has the following shared interests within the BST IRG:

With Gene and Drug Delivery [GDD]: MABS shares interests with the GDD study section in the areas of gene regulatory networks, metabolic pathways and studies to perturb individual genes or regulatory factors. Applications on systems biology could be assigned to MABS. Applications on the development and expression of introduced genes, and the restoration or enhancement of metabolic pathways could be assigned to GDD.
With Biodata Management and Analysis [BDMA]: MABS shares interests with the BDMA study section in the areas of bioinformatics and large-scale data collection efforts or “–omics” applications (genomics, proteomics, metabolomics, etc.). If the focus is on modeling or computer simulations, review by MABS could be appropriate. If the focus is on large-scale data collection or analysis, then BDMA could be appropriate.

MABS has the following shared interests outside the BST IRG:

With the Biological Chemistry and Macromolecular Biophysics [BCMB]; Cell Biology [CB]; and Biology of Development and Aging [BDA] IRGs: MABS shares computational modeling interests with BCMB, CB, and BDA. If the focus is experimental investigation of chemical or biophysical interactions among molecules, cell physiological processes, development, differentiation, or signal transduction, then review by the IRGs identified above could be appropriate. If the primary focus is development of technology for computational modeling or development of methods for combining modeling or related analyses, review by MABS could be appropriate.
With the Genes, Genomes, and Genetics [GGG] IRG: If the focus is on regulation of gene expression or genomics, review by GGG could be appropriate. If the primary focus is on modeling technology or related analyses, review by MABS could be appropriate.
With the Infectious Diseases and Microbiology [IDM] and AIDS and Related Research [AARR] IRGs: If the scientific focus is on application of existing modeling paradigms to microbes, assignment to IDM or AARR could be appropriate; if the scientific focus is on development of new modeling paradigms for microbes or related computational analyses, assignment to MABS could be appropriate.
With the Oncological Sciences [ONC] IRG: Review by ONC could be appropriate if cancer cell physiology, signal transduction, or therapy is the focus. Review by MABS could be appropriate if the focus is modeling or related analyses.
With the Surgical Sciences, Biomedical Imaging and Bioengineering [SBIB] IRG: MABS shares interests with SBIB in the areas of biological and medical computing and informatics as related to modeling physiological function. If the objective of the study is to address questions of diagnosis, pathology, or therapy, assignment could be to SBIB. If the objective of the study is to address questions of basic biology, modeling, or simulation, assignment could be to MABS.