A.1. Overview and Aims

 

 
A.1.1. Scientific Opportunities. The scientific opportunities addressed in this proposal derive from the confluence in Pittsburgh of a rich population of computationally as well as experimentally oriented biological scientists, excellent computational and experimental resources, and institutions that have historically encouraged joint efforts. Carnegie Mellon University (CMU) is particularly renowned for its computer science, and the University of Pittsburgh (Pitt) for its biomedical strength. Biomedical science and technology, and especially the coupling of information technology to biomedicine, is part of the strategic plan of each of these universities. Biological problems have been central to the internal and external research activities of the Pittsburgh Supercomputing Center (PSC), an excellent example of institutional cooperation between Pitt and CMU, and PSC is now an active participant in this proposal. 

 

The institutions participating in this proposal are Pitt, PSC, CMU, and Duquesne University.  A major goal of our joint activities, including but not limited to this proposal, is to bridge the different talents and cultures represented by experimental and computational scientists working on biological problems.  In December 1999, in an effort to promote interaction between these groups, we held a workshop of > 50 participants from the four institutions. The experimental researchers understood each other and the computational types communicated well, but there was less effective interaction across the groups.  There was, however, broad recognition that the two groups needed each other and several initiatives arose from this meeting; they were aimed at identifying both research problems that spanned experiment and computation, and expertise required for their solution.  Several collaborations resulted from that, including this proposal. However, if awarded, the pre‑NPEBC would be embodied within a Pittsburgh Center for Biomedical Computing (PCBC) that would propel the community far beyond the informal associations engendered thus far.

 

The specific opportunities highlighted in this proposal have arisen from new collaborations between and within computational and experimental research groups in the Pittsburgh area. The computational aims focus on novel, integrative projects at multiple temporal and spatial scales, with cutting-edge resources and technical expertise available to carry growing projects into large-scale computation as needed. The biomedical aims focus on important issues underlying cell cycle control as it relates to DNA damage, apoptosis and signaling. Of course, this encompasses a lot of territory:  molecular events, complexes and assemblies, local signaling between near molecular neighbors (in solution and/or in membranes), distal signaling and interactions between molecules in different cellular compartments, signaling at the multicellular level.  Another hallmark of these events is the important role of stochastic processes, which in vivo, are orchestrated into a symphonic whole in healthy circumstances, while in disease that orchestration is often disrupted.  The core focus of this proposal and the opportunities it presents is to understand the integrating and organizing aspects of these interactions.

 

A.1.2. Computational and Biomedical Aims. The proposed Pre-NPEBC award will support infrastructure to develop new, interdisciplinary collaborative projects focused on computational aims and biomedical aims.  The computational aims are:

1)       Development of new models and simulation environments for multiscale investigation of cellular dynamics, focused on three areas of specialization: (i) structural dynamics of macromolecular complexes and assemblies, (ii) simulation of microphysiological processes with stochastic (Monte Carlo) methods at hierarchical levels of spatial realism, and (iii) mathematical modeling of the nonlinear dynamics of cellular networks

2)       Integration of the above three computational and mathematical approaches, or bridging the gap between molecular and cellular models of biological processes

3)       Development and implementation of computational and mathematical tools for storage, visualization, and Internet accessibility of the results and algorithms developed at multiple targeted scales.

 

The planned biomedical aims are focused on complex cell signaling and regulatory processes related to apoptosis and cell cycle checkpoints, - areas in which detailed multiscale modeling is likely to yield important insights (e.g. how can one signaling agent trigger either pro-apoptotic or anti-apoptotic response, or what factors dictate the choice between the activation of DNA repair machinery or the promotion of apoptosis, in response to DNA damage?). Anticipated developmental projects (DP) include studies on multiscale modeling of (i) the effects of nitric oxide (NO) on apoptosis (DP1), (ii) cell signaling and regulation machinery in response to DNA damage (DP2), and (iii) ligand interactions with signaling molecules (DP3). These projects are linked by several common molecules or common pathways, and they all pertain to the regulation/dysregulation of the cell cycle at the G1/S and G2/M checkpoints. They contain subprojects that explore the same problem, as viewed from different perspectives: interacting molecules, cascades of interactions, or networks of interactions containing complex feedback and control mechanisms. The two groups of researchers, computational and biomedical, will coordinate and integrate efforts towards the design of molecular control mechanisms against dysregulation of cell cycle.