Towards anatomic scale agent-based modeling with a massively parallel spatially explicit general-purpose model of enteric tissue (SEGMEnT_HPC).
Towards anatomic scale agent-based modeling with a massively parallel spatially explicit general-purpose model of enteric tissue (SEGMEnT_HPC).
复制标题
DOI:
10.1371/journal.pone.0122192
复制
发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
An G
中科院分区:
文献类型:
--
作者:
Cockrell RC;Christley S;Chang E;An G
Perhaps the greatest challenge currently facing the biomedical research community is the ability to integrate highly detailed cellular and molecular mechanisms to represent clinical disease states as a pathway to engineer effective therapeutics. This is particularly evident in the representation of organ-level pathophysiology in terms of abnormal tissue structure, which, through histology, remains a mainstay in disease diagnosis and staging. As such, being able to generate anatomic scale simulations is a highly desirable goal. While computational limitations have previously constrained the size and scope of multi-scale computational models, advances in the capacity and availability of high-performance computing (HPC) resources have greatly expanded the ability of computational models of biological systems to achieve anatomic, clinically relevant scale. Diseases of the intestinal tract are exemplary examples of pathophysiological processes that manifest at multiple scales of spatial resolution, with structural abnormalities present at the microscopic, macroscopic and organ-levels. In this paper, we describe a novel, massively parallel computational model of the gut, the Spatially Explicitly General-purpose Model of Enteric Tissue_HPC (SEGMEnT_HPC), which extends an existing model of the gut epithelium, SEGMEnT, in order to create cell-for-cell anatomic scale simulations. We present an example implementation of SEGMEnT_HPC that simulates the pathogenesis of ileal pouchitis, and important clinical entity that affects patients following remedial surgery for ulcerative colitis.
登录
查看更多内容
影响因子:
2.8
作者:
MOSKOWITZ, RL;SHEPHERD, NA;NICHOLLS, RJ
通讯作者:
NICHOLLS, RJ
DOI:
10.1007/978-1-4939-0554-6_16
发表时间:
2014-01-01
期刊:
ENGINEERING AND ANALYZING MULTICELLULAR SYSTEMS: METHODS AND PROTOCOLS
影响因子:
--
作者:
Kang, Seunghwa;Kahan, Simon;Momeni, Babak
通讯作者:
Momeni, Babak
影响因子:
9.5
作者:
Thorne, Bryan C.;Bailey, Alexander M.;Peirce, Shayn M.
通讯作者:
Peirce, Shayn M.
影响因子:
2.5
作者:
Batts, Lorene E.;Polk, D. Brent;Kulessa, Holger
通讯作者:
Kulessa, Holger
DOI:
10.1002/wsbm.1222
发表时间:
2013-07
影响因子:
7.9
作者:
Hunt, C. Anthony;Kennedy, Ryan C.;Kim, Sean H. J.;Ropella, Glen E. P.
通讯作者:
Ropella, Glen E. P.