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Service, Training and Dissemination
Service projects are established through the use of NBCR compute resources, software tools and databases, and require support from NBCR to ensure the goals are met. Service projects may become Collaborative projects, which are drivers for scientific and technology development, and vice versa. Through service projects, the impact of NBCR as a national center is further broadened. Lead investigators of service projects typically have independent funding besides scientific consultation & technological assistance from NBCR. The following are selected examples to illustrate the broad range of possibilities. Please see the Software tools for relevance to your projects, and contact the investigators about accessing services provided by NBCR.

Investigators and Affiliation(s)

Grant agency, number and title

Description and use of NBCR tools

Quantum to Continuum Mechanics Tools

Thanh Truong

University of Utah

NSF CTS 0112306

Virtual Kinetic Laboratory

This work involves extensions of tools and expertise developed within NBCR to include thermodynamics and chemical kinetics capabilities that have been developed in the Truong lab. In particular the extensions of the portals, new database tools, and visualization capabilities developed in NBCR, merging of GAMESS with the thermodynamic and chemical kinetics software, and the production of associated educational materials.

Avigdor Scherz

Weizmann Institute of Science

United States - Israel Binational Science Foundation BSF-59656A

An Experimental Look into Sub-Electron Charge Flow

In this work, we use our computational chemistry software (GAMESS and QMView) and expertise of NBCR to understand that the charge flow of a fraction of electron between a chelated metal center and reversibly bound molecules can be accurately monitored experimentally and used as a benchmark for various computational and theoretical approaches.

Jose Onuchic

University of California San Diego

NSF PHY 0216576

Center for Theoretical Biological Physics

The CTBP will pioneer new approaches to this problem, by coupling molecular dynamics simulators (such as CHARMM and AMBER) to Poisson-Boltzmann solvers that provide an implicit treatment of solvent dynamics. Our target problem is the functional motions of the ribosome, as there is a significant amount of experimental information regarding this critical biological system. We will use codes developed by NBCR, such as the Adaptive Poisson-Boltzmann Solver and the Adaptive Smoluchowski Equation Solver and the cluster resources to gain insight into this system.

Data Analysis Tools for Molecular Sequences

Michael Fromm (PI)

University of Nebraska, Lincoln

National Science Foundation DBI-9975808

A Protein Interaction Map for Rice Kinases

Although the model organism used here is Rice, the primary focus of this work is on elucidating the mechanism of signal transduction. This is of high relevance and importance to biomedical research because of the importance of signal transduction processes in human biology and disease (especially in neoplsia). The algorithms, software, and databases developed in this project and made available in MIA and Homophila are equally applicable to projects that are more closely tied to traditional NIH model systems and their propagation to these systems will be expedited by NBCR.

Steven Henikoff (PI)

Fred Hutchinson Cancer Research Institute

NIGMS 5R01GM029009

Alignment Based Methods for Molecular Sequence Analysis

With the advent of Motif Alignment and Search Tool (MAST) , we have been able to link Block Searcher and Block Maker to MAST so that users can search selected blocks from the Blocks or their own blocks made by Block Maker against the major sequence databases. This has enhanced the utility of the Blocks Web Server (http://blocks.fhcrc.org/) considerably.

Heart Modeling

CARDIAC ARRHYTHMIA

Jack M. Rogers, PhD (PI)

Assistant Professor of Biomedical Engineering, University of Alabama at Birmingham

NIH NHLBI

HL 64184 Mechanisms for Maintenance of Ventricular Fibrillation

We have used Continuity as a testbed for a new model of the cardiac action potential (Rogers, 2000) and in combination with the model of rabbit ventricular geometry to predict the effects of heterogeneous Gaussian curvature on cardiac wavefronts (Rogers, 2002). High speed computational models of ventricular and atrial fibrillation that respond to pacing stimuli will enable us to screen pacing strategies for arrhythmia control before testing them in animal preparations.

Andrew Pollard, PhD (PI)
Professor of Biomedical Engineering,
University of Alabama at Birmingham

Raymond Ideker, MD (Program PI)
Professor,
Cardiac Rhythm Management Laboratory,
University of Alabama at Birmingham

NIH NHLBI P01 HL67961

Mechanisms and therapy of ischemic sudden cardiac arrest. (Ideker, Program PI) Project 3. Purkinje-myocardial reentry in ischemia and infarction.

We have used the epicardial rabbit mesh derived from the NBCR rabbit model to study responses to anti-tachycardia pacing pulses replicating burst pacing schemes from standard devices. The main goal of the present studies is to establish the efficacy of burst pacing with a second ventricular lead. To investigate the role of the Purkinje systems in reentrant rhythms during myocardial ischemia and infarction, the development by NBCR investigators of canine and rabbit ventricular models with Purkinje fibers will be valuable for this goal.

NSF GOALI grant BES-9903466

Model and experimental studies of the evolution of the excitable gap for improved anti-tachcardia pacing

Sanjiv M. Narayan, MD, PhD (PI) Assistant Professor of Medicine (Cardiology),

UCSD

Director of Electrophysiology, VA San Diego

AHA Western States Affiliates

Grant-in-aid 0265120Y

Regional Ventricular Strain, Repolarization Anisotropy and Arrhythmogenesis

 

This project is designed to address the contribution of mechanoelectric feedback to the initiation of ventricular arrhythmias during passive ventricular dilatation. We are testing the hypothesis that non-uniform ventricular wall strain alters tissue electrophysiology and leads to arrhythmogenesis by optically imaging Langendorff-perfused rabbit heart. Continuity and the cardiac data analysis tools of the NBCR are also being used to analyze impulse propagation and regional strain patterns imaged simultaneously in isolated rabbit hearts to investigate the role of mechanical heterogeneity on dispersion of repolarization and arrhythmogenesis. New work will extend the analysis to failing rabbit hearts, which are studied in vivo by rapid endoventricular pacing.

NIH NHLBI

5 K23 HL70529-02

The Pathophysiology of T-Wave Alternans

 

This project is designed to study the dynamics of T-wave alternans (TWA) on the surface ECG and associated endoventricular monophasic action potentials to better understand repolarization dynamics at the initiation of ventricular tachyarrhythmias in patients at risk for sudden death. The realistic fiber orientation and ventricular geometry of the Continuity models will allow the contribution of anisotropic conduction and electrotonic modulation on TWA to be quantitatively assessed. We will also explore the effects of systematic subtle alterations in modeled ion channel function on alternans and arrhythmogenesis.

Igor Efimov, PhD (PI)

Associate Professor of Biomedical Engineering,

Case Western Reserve University

NIH/NHLBI R01HL67322

Virtual electrode hypothesis of defibrillation

R01HL58808

Structure / function of the AV node

The long term goals of my research projects, funded by NIH are related to: (1) shock-induced arrhythmogenesis, (2) electric-field induced electroporation, (3) the role of structure of the supravetricular conduction system of the heart in its electrophysiological function. All goals rely on mathematical modeling of the cellular and tissue electrophysiology. In particular, our defibrillation project has significantly benefited from the NBCR model of the rabbit heart, which permitted us to develop an anatomically detailed model of ventricular defibrillation.

CARDIAC SURGERY

D. Craig Miller, MD (PI)

Thelma and Henry Doelger Professor of Cardiovascular Surgery,

Stanford University School of Medicine

Neil B. Ingels, Jr., PhD (Co-PI)

Head, Laboratory of Cardiovascular Physiology and Biophysics, Research Institute, Palo Alto Medical Foundation

NIH NHLBI

1 RO1 HL29589 Ventricular Dynamics from Surgically Inserted Markers

 

This project use radiopaque markers in ovine experimental models to test hypotheses concerning the mechanisms for left ventricular (LV) remodeling leading to congestive heart failure and/or chronic ischemic mitral regurgitation. In addition to our standard LV and valvular marker arrays, we have added LV transmural beadsets for simultaneous measurement of 4-D biomechanics of myofiber sheets and extracellular matrix. Continuity is used to compute non-homogenous strains from these data.

NIH NHLBI

1 RO1 HL67025 Chronic Ischemic MR - Mechanisms and Novel Surgical Therapy

 

The goal of this project is to determine the geometric valvular mechanisms responsible for chronic ischemic mitral regurgitation (IMR) and to define how the therapeutic effects of ring annuloplasty and how they differ from those of a novel trans-annular suture reparative technique which we have shown can eliminate acute IMR. To relate regional and global LV mechanics, future work will require integrating the data from these two projects into comprehensive computational models implemented with Continuity.

Mark Ratcliffe, MD, (PI)
Professor of Cardiovascular Surgery,
UCSF

Julius M. Guccione, PhD, (Co-I)

Associate Professor of Cardiovascular Surgery and Bioengineering,
UCSF

NIH NHLBI

5 R01 HL063348-03

Quantitative Analysis of Left Ventriculo-plasty - CHF

This proposal builds on previous measurement of regional stress and ventricular function after aneurysm application in the sheep aneurysm model. It will measure regional LV material properties before and after aneurysm repair with a biaxial stretching apparatus. Those ex-vivo measurements will be confirmed from magnetic resonance measurements of regional cardiac deformation which in conjunction with knowledge of regional cardiac architecture and previously developed finite element techniques will be used to calculate regional in-vivo cardiac material properties. We rely heavily on the finite element software Continuity to analyze the effects of changes in left ventricular geometry and myocardial material properties on global and regional ventricular function.

Soft Tissue Biomechanics

Jeffrey W. Holmes, MD, PhD (PI) and Kevin D. Costa, PhD (co-PI)

Assistant Professors of Biomedical Engineering, Columbia University,

New York

NSF

BES-02-01617

Parameterization of Cardiac Wall Motion: Reuniting Engineering and Cardiology

 

 

Teaching

BMEN-E4305

Cardiac Mechanics

 

The major goal of this project is to develop a practical, quantitative method of evaluating regional ventricular wall motion abnormalities from echocardiographic images based on a non-Cartesian finite element analysis with Continuity, which is ideally suited due to its formulation using generalized curvilinear coordinates, especially prolate spheroidal coordinates. It is proposed that mapping wall motion in terms of the radial prolate coordinate, lamda, simplifies the parametric representation of the endocardial surface and thus enhances the ability to detect, quantify, and visualize wall motion abnormalities. We have two recent publications using Continuity (Angelini et al., 2002; Costa et al., 2001)

Course Description: This is a graduate/advanced undergraduate course that uses Continuity as an interactive educational tool to reinforce theoretical concepts and simulate practical applications of topics in soft tissue biomechanics applied to myocardium. Topics include cardiac anatomy, myocardial constitutive properties, electrical activation, ventricular function, ventricular-vascular coupling, invasive and noninvasive measures of cardiac function, models for ventricular wall stress.

Cardiac Imaging - Continuity

Samuel A. Wickline, MD (PI)

Professor of Medicine, Physics, and Biomedical Engineering

Washington University School of Medicine

NIH NHLBI

RO1 HLA-42950

Ultrasonic tissue characterization of cardiac remodeling

 

RO1 HLA-63448: Microscopic cardiac material properties in aging

 

The goals of these projects are to evaluate the effects of aging and of angiogenesis on cardiac remodeling after myocardial infarction. The use of MRI tagging allows calculation of 3-dimensional strain patterns that provide input to computational models of ventricular function related to fundamental material properties that determine cellular, regional, and global cardiac systolic and diastolic function. Continuity will also be used to analyze muscular dystrophy and diabetic cardiomyopathy that manifest both structural (fibrosis, sarcolemmal protein defects) and functional disturbances (abnormal energetics leading to cross-bridge cycling abnormalities). These models will help delineate the mechanisms responsible of the functional abnormalities. We have also used the fiber orientation analysis tools developed and distributed by the NBCR to characterize remodeling in border zones of myocardial infarction.

Visualization and multi-scale modeling

Visual Programming Environment for Protein Annotation

Philip Bourne

University of California San Diego

NIHMS (NIH 1 P01 GM63208)

Systematic Protein Analysis and Modeling: (Visualization Tools for the Encyclopedia of Life)

Three dimensional models of proteins corresponding to a large number of sequences in the genome of any given organism have to be annotated and sometimes modeled. A shell script currently drives these calculations. Replacing this script by a ViPEr-based network will not only make this pipeline more visual but also make it more flexible and easier to maintain. Input nodes in such a network will correspond to organisms and subsequent nodes will represent all computational steps involved in the pipeline. The network will be used to split the work into smaller chunks that will be distributed on to the available computational resources. The work flow propagation available in ViPEr will take care of scheduling the next calculation once all the input data is available from parent nodes. Once such a network is created, computing for another organism is just a mater of replacing the top node.

Docking Tools

Gabriele Varani

University of Washington

NIH R01GM064440

RNA Recognition by the RNA Recognition Motif (RRM) Superfamily

Using Autodock and Autodock Toolkit (ADT) to dock large databases against structures of RNA and RNA-protein complexes to discover new molecules active against infections pathogens. Improvements in AutoDockTools to enable easier handling of RNA molecules will facilitate this research. Grid-enabled AutoDock will allow larger virtual screens.

K.N. Houk

University of California Los Angeles

NIH 5R01GM061402

Origins of Stereo-Selective Catalysis by Antibodies

Using Autodock and Autodock Toolkit (ADT) to study antibody catalysis. This involves quantum mechanically computed transition structures docked into antibody binding sites to obtain insights into stereoselctive catalysis. The goal of this research project is to understand the mechanism by which antibody catalysts accelerate the reaction and induce stereoselectivity.

Peter Reilly

Iowa State University

 

NSF IGERT DGE99-72653 (9/99-8/04) (PI. D.Voytas) Computational Analysis of Hydrolase and Carbohydrate-Binding Protein Mechanisms

Using AutoDock and ADT to study glucoamylase, b-amylase, a number of cellulases, phospholipase D, and surfactant protein D by advanced modeling methods, using available three-dimensional structures as templates. Automated docking of carbohydrates into the active sites of these hydrolases and this binding protein yields optimal and suboptimal docked protein- carbohydrate conformations, and this allows an advanced understanding of protein structure-function relationships. They have also developed an advanced parameter set to estimate free energies of carbohydrate docking to proteins. Specific studies include binding parameters, docking into beta-amylase and surfactant protein D (Alain Laederach) and docking into Glycoside Hydrolase, Family 1 enzymes (beta-glucosidase and five related hydrolases) (Tony Hill)

Michael Johnson

University of Illinois at Chicago

NIH 5R01HL057604

Development of Site Specific Antisickling

Using Autodock and Autodock Toolkit (ADT) for the development of new antisickling compounds for sickle cell anemia and to design efforts for Factor Xa inhibitors as new anticoagulants.

Grid services and Telescience

Tomographic Reconstruction Codes

Jose-Maria Carazo, Ph.D.

Centro Nacional de Biotecnologia-CSIC - Campus Universidad Autonoma Madrid, Spain 28049

EU and Spain / with IIEMS EMBL BioStructure Bioinformatics & Database Projects

ART-BLOBS Parallel Electron Tomography

Project uses NCMIR created datasets and NBCR developed codes to derive improved images of three-dimensional biological structures from projections - EM tomography. Parameters are expored to determine appropriate parameters for application of various advanced algorithmic approaches to tomographic reconstruction for biomolecular structures. This group is obtaining data from NCMIR from specimens contrasted by photo conversion and imaged with most probable loss energy filtering to delineate either supramolecular structures in situ, or at much lower resolution, cell processes in their tissue context. They then evaluate parameters that can be adjusted to tune these and other reconstruction algorithms to increase their utility for data of different characteristics. They also intend to work with NBCR's multiscale data sets and data federation approaches to link to ones we are developing in Europe such as the Macromolecular Structural Data Base (MSD) in Madrid and Cambridge.

James K. Fredrickson

Pacific Northwest National Laboratory

U.S. DOE 42654 10/01-10/04

Environmental Sensing, Metabolic Response, and Regulatory Networks in the Respiratory System

The entire genome sequence of MR-1 has, in essence, been determined and high throughput methods for measuring gene expression are now available, including mass spec-based proteome analyses developed at PNNL. Although powerful, DNA array and proteome analyses must be tightly coupled with other approaches to effectively reveal the molecular details of how MR-1 functions in, and responds to, its environment. This group is using electron tomography in this project and parallel reconstructions are being conducted with codes and resources NBCR developed and maintains.

Bridget Wilson

University of New Mexico

ACS RPG-99-233 8/99-7/02 (Wilson), NIH GM49814 (Oliver) 8/00-7/05, NIH HL56384 10/96-10/06 (Lipscomb)

3-D reconstruction of RBL-2H3 ER and plasma membranes

We use the NCMIR's and NBCR's tomographic resources to: (1) determine the 3-dimensional volume of the endoplasmic reticulum in RBL-2H3 cells and (2) reconstruct a 3-dimensional view of a "typical" resting and activated RBL-2H3 cell, reflecting the dramatic changes in surface topography (and potentially volume). We showed previously that Type 2 IP3 receptors form large clusters within the endoplasmic reticulum within minutes of sustained elevations in calcium induced by receptor activation or calcium ionophore. For our current modeling project, that attempts to predict the effects of IP3 receptor clustering on the filling state of the ER calcium store, we need accurate measurements of the endoplasmic reticulum volume, shape and distribution.

Training

For Training Sessions and Online Tutorials, please visit the NBCR Community Portal, in particular the NBCR Summer Institute.

Dissemination

Please visit the NBCR Software, Tools and Databases, Documentations, Brochures and Events Page

This Resource is supported by the National Institutes of Health (NIH) through a National Center for Research Resources program grant (P 41 RR08605) to researchers at the University of California, San Diego, including the San Diego Supercomputer Center (SDSC), the California Institute of Telecommunications and Information Technology (Calit2), The Center for Research in Biological Systems (CRBS), The Scripps Research Institute (TSRI), and Washington University in St. Louis (WUSTL).


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