Computer Cluster for Computational Biology and Biophysics

 产品说明：这是一个购买计算机集群的提议，以支持坦普尔大学的六个NIH资助的研究小组（总共有50多名学生，博士后和高级人员）开展生物物理学，生物化学，结构生物学，群体遗传学和基因组学等各种项目。具体而言，建议获得包含40个计算节点的Linux集群，每个计算节点具有4个16核处理器，总共2560个处理器核。该集群将提供针对本提案中所述的NIH支持项目的计算需求进行优化的能力。所要求的设备将用于的项目包括：蛋白质配体结合和Allostery：有效潜力，先进的采样方法和应用（R.M. Levy）;生物活性分子的渗透和膜通道的分子动力学模拟调节（M.L. Klein，V. Fiorin）; Rosetta程序中新统计评分项的优化和抗体特异性计算设计的应用（R. Dunbrack）;蛋白质折叠的早期阶段通过实验和计算方法探索（H。罗德和V.Voelz）;基于螺旋低聚物的金属酶模拟物的设计和建模（C. Schafmeister），和Implementation of Statistical Methods for Human Population Genomics（E.J. Hey）。这些计算密集型项目目前得到7个R01赠款、1个P01赠款和1个P50赠款的支持。所要求的硬件由具有高吞吐量低延迟InfiniBand互连的计算节点和高性能存储设备的平衡组合组成，以适应需要共享内存节点内并行化和松散耦合消息传递的项目，并行或非耦合独立进程在独立数据集上操作。建议的计算机集群收购的一个关键方面是获得更大的MPI并行功能所需的现代原子模拟的蛋白质，使用先进的采样算法，分子动力学模拟的膜和离子通道，和马尔可夫链蒙特-卡罗模拟人口遗传学和基因组学建模。本提案中所述项目与公共卫生有关的相关性包括改进蛋白质结构（和组装）表征方法，作为治疗艾滋病毒/艾滋病和其他疾病的基于结构的药物设计的基础，以及了解麻醉剂与电压门控离子通道结合的性质。

 DESCRIPTION: This is a proposal to purchase a Computer Cluster to support six NIH-funded research groups at Temple University (in total, more than 50 students, post-docs, and senior personnel) carrying out diverse projects spanning biophysics, biochemistry, structural biology, population genetics and genomics. Specifically, it is proposed to acquire a Linux cluster containing 40 compute nodes with four 16-core processors each, for 2560 processor cores in total. The cluster will provide the capacity that is optimized for the computing needs of the NIH supported projects described in this proposal. The projects for which the requested equipment will be used include: Protein-Ligand Binding and Allostery: Effective Potentials, Advanced Sampling Methods, and Applications (R.M. Levy); Permeation of Biologically Active Molecules and Regulation of Membrane Channels by Molecular Dynamics Simulations (M.L. Klein, V. Carnevale, and G. Fiorin); Optimization of New Statistical Scoring Terms in the Rosetta Program and Application to Antibody- Specific Computational Design (R. Dunbrack); Early Stages of Protein Folding Explored by Experimental and Computational Approaches (H. Roder and V. Voelz); Designing and Modeling Spiroligomer Based Metalloenzyme Mimics (C. Schafmeister), and Implementation of Statistical Methods for Human Population Genomics (E.J. Hey). These computationally intensive projects are currently supported by seven R01 grants, one P01 grant and one P50 grant. The requested hardware consists of a balanced combination of compute nodes with high- throughput low-latency InfiniBand interconnect and a high-performance storage appliance to accommodate projects which require shared memory in-node parallelization and loosely coupled message passing parallel or uncoupled independent processes operating on independent data sets. A key aspect of the proposed computer cluster acquisition is to obtain greater MPI parallel capabilities needed for modern atomic simulations of proteins using advanced sampling algorithms, molecular dynamics simulations of membranes and ion channels, and Markov Chain Monte-Carlo simulations employed in population genetics and genomics modeling. The public health-related relevance of the projects described in this proposal include improving methods for the characterization of protein structures (and assemblies) as a basis for structure based drug design for treatments of HIV/AIDS and other diseases, as well as understanding the nature of the binding of anesthetics to voltage-gated ion channels.