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PPD is a leading global contract research organization (CRO), celebrating 25 years of providing drug discovery, development and lifecycle management services. Our clients and partners include pharmaceutical, biotechnology, medical device, academic and government organizations. With offices in 41 countries and more than 10,500 professionals worldwide, PPD applies innovative technologies, therapeutic expertise and a commitment to quality to help clients and partners accelerate the delivery of safe and effective therapeutics and maximize the returns on their R&D investments. Discovery Services: BioDuro, A PPD Company A drug discovery services company focused on integrated drug discovery programs Nonclinical development Preclinical services partners. Compound Partnering PPD''s compound partnering business is now Furiex Pharmaceuticals, Inc., an independent, publicly traded company. Collaboration with Merck Our strategic collaboration with Merck enabled us to acquire its vaccines and biologics infrastructure, broaden our therapeutic expertise and expand our existing relationship. Alliance with WHISCON We have expanded our post-approval safety expertise and risk management through an alliance with World Health Information Science Consultants. Partnership with PUL To meet growing client demand in Southeast Asia, we partnered with Peking Union Lawke Biomedical Development Limited (PUL) to establish our central lab services in China. Our e-Newsletter is your source for what is happening at PPD and in the CRO industry.

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• SciCrunch
• 17 years ago - by Anonymous

Software program for estimating frequencies of haplotypes of large numbers of diallelic markers from unphased genotype data from unrelated subjects (entry from Genetic Analysis Software)

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• SciCrunch
• 14 years ago - by Anonymous

Continua Health Alliance is a non-profit, open industry coalition of the finest healthcare and technology companies joining together in collaboration to improve the quality of personal healthcare. With more than 200 member companies around the world, Continua is dedicated to establishing a system of interoperable personal health solutions with the knowledge that extending those solutions into the home fosters independence, empowers individuals and provides the opportunity for truly personalized health and wellness management. Mission To establish a system of interoperable personal telehealth solutions that fosters independence and empowers people and organizations to better manage health and wellness Objectives The Continua Health Alliance is comprised of technology, medical device and health care industry leaders dedicated to making personal telehealth a reality. Our objectives include: Developing design guidelines that will enable vendors to build interoperable sensors, home networks, telehealth platforms, and health and wellness services. Establishing a product certification program with a consumer-recognizable logo signifying the promise of interoperability across certified products. Collaborating with government regulatory agencies to provide methods for safe and effective management of diverse vendor solutions. Working with leaders in the health care industries to develop new ways to address the costs of providing personal telehealth systems.

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• SciCrunch
• 17 years ago - by Anonymous

Consumers Union (CU) is an expert, independent, nonprofit organization whose mission is to work for a fair, just, and safe marketplace for all consumers and to empower consumers to protect themselves. The organization was founded in 1936 when advertising first flooded the mass media. Consumers lacked a reliable source of information they could depend on to help them distinguish hype from fact and good products from bad ones. Since then CU has filled that vacuum with a broad range of consumer information. To maintain its independence and impartiality, CU accepts no outside advertising and no free samples and employs several hundred mystery shoppers and technical experts to buy and test the products it evaluates. The organization generates more than $200 million in revenue, and a staff totaling more than 600 work at CU''s 50 state-of-the-art labs and offices in Yonkers, N.Y.; its 327-acre Auto Test Center in East Haddam, Conn.; and our three advocacy offices, in Washington, D.C., Austin, Texas, and San Francisco. Consumers Union is governed by a board of 18 directors who are elected by CU members and meet three times a year

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• SciCrunch
• 17 years ago - by Anonymous

C-Maps project is an international collaboration between Discovery Informatics and Computing Laboratory in Indiana University Purdue University Indianapolis (IUPUI) and State Key Laboratory of Intelligent Technology and Systems (LITS) in Tsinghua University China. Connectivity Maps (C-Maps) is created to connect diseases with genes/proteins whose mutations cause them and drugs which treat them. Recent studies focus on developing systematic methods to build C-Maps using gene-expression data to connect small molecules, genes, and disease. Justin Lamb et. al. established a systematic approach to build C-Map using gene-expression profiling as the common vocabulary to connect small molecules, genes, and diseases. They created the first installment of a reference collection of gene-expression profiles from cultured human cell treated with bioactive small molecules, together with pattern-matching software to mine these data [1]. Atul J Butte et. al build a C-Maps using the UMLS (Unified Medical Language System) annotation of gene expression data to connect phenotypic, disease, environmental and experimental contexts as well as genes with differential expression associated with these concepts [2] Sponsor. We would like to thank the generous grant support from Indiana University - Purdue University Indianapolis, and National Basic Research Program of China (973 Program), National High Technology Research and Development Program of China (863 Program).

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• SciCrunch
• 17 years ago - by Anonymous

Commercial vendor and service provider of laboratory reagents and antibodies. Supplier of scientific instrumentation, reagents and consumables, and software services.

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• 17 years ago - by Anonymous

It is a specialized research center supported by the Protein Structure Initiative (PSI) of the National Institute of General Medical Sciences (NIGMS), one of the National Institutes of Health (NIH). PSI is a federal, university, and industry effort aimed at dramatically reducing the costs and lessening the time it takes to determine a three-dimensional protein structure. The long-range goal of PSI is to solve 10,000 protein structures in 10 years and to make the three-dimensional atomic-level structures of most proteins easily obtainable from knowledge of their corresponding DNA sequences. CESG is located within the Department of Biochemistry at the University of Wisconsin-Madison (Madison, WI) and the Department of Biochemistry at the Medical College of Wisconsin (Milwaukee, WI). CESG develops new methods and technologies to address unique eukaryotic bottlenecks and disseminates its methodologies and experimental results to the scientific community worldwide through: :- Cell-Free Protein Production Workshops :- Plasmids at PSI Materials Repository :- Posters Presented at Scientific Meetings :- Publications in PubMed / PubMed Central :- Sesame (LIMS) Available for Researchers :- Solved Structures in the Protein Data Bank :- Technology Dissemination Reports They have welcomed requests by researchers to solve eukaryotic protein structures, particularly medically relevant proteins, through our Online Structure Request System for Researchers. They have solved many community-nominated targets and deposited information about these targets in public databases and published on our investigations and findings. Sponsors: CESG is supported by NIH / NIGMS Protein Structure Initiative grant numbers U54 GM074901 and P50 GM064598.

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• SciCrunch
• 14 years ago - by Anonymous

Software application (entry from Genetic Analysis Software)

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• 14 years ago - by Anonymous

This the homepage for the Flow Cytometers Facility in UC Berkeley. :Sponsors: This Research Facility is supported by the Cancer Research Laboratory and CIRM Human Embryonic Stem Cell Shared Research Facility at the UC Berkeley Campus. Keywords: Laboratory, Service, Testing, Assessment, Research, Flow cytometer,

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• SciCrunch
• 17 years ago - by Anonymous

This website is designed for the Caulobacter cell cycle control model''s latest paper: Temporal Controls of the Asymmetric Cell Division Cycle in Caulobacter crescentus. Sponsors:This resource is supported by the OTKA (F 60414), the European Commission (COMBIO: LSHG-CT-2004-503568), and the OTKA (T043770). Keywords; Cell, Cell cycle, Modeling, Caulobacter, Asymmetry, Temporal,

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 31, 2022. Data services to support validation of economically relevant traits for the livestock industries. Sponsors: This resource is supported by Pfizer Animal Health. Keywords: Animal, Genetics, Health, World, Genetic, Information, Service, Industry, Livestock, DNA, Maker, Technology, Phenotypic, Productivity,

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A software package for analyzing gene expression and other bioarray data, giving users a variety of methods to build and evaluate class predictors, visualize marker lists, cluster data and validate results. GeneCluster 2.0 greatly expands the data analysis capabilities of GeneCluster 1.0 by adding supervised classification, gene selection, class discovery and permutation test methods. It includes algorithms for building and testing supervised models using weighted voting (WV) and k-nearest neighbor (KNN) algorithms, a module for systematically finding and evaluating clustering via self-organizing maps, and modules for marker gene selection and heat map visualization that allow users to view and sort samples and genes by many criteria. It enhances the clustering capabilities of GeneCluster 1.0 by adding a module for batch SOM clustering, and also includes a marker gene finder based on a KNN analysis and a visualization module. GeneCluster 2.0 is a stand-alone Java application and runs on any platform that supports the Java Runtime Environment version 1.3.1 or greater.

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• SciCrunch
• 17 years ago - by Anonymous

The project began as a pilot study to identify inherited genetic susceptibility to prostate and breast cancer. CGEMS has developed into a robust research program involving genome-wide association studies (GWASs) for a number of cancers to identify common genetic variants that affect a person''s risk of developing cancer. In collaboration with extramural scientists, NCI''s Division of Cancer Epidemiology and Genetics (DCEG) has carried out genome-wide scans for breast, prostate, pancreatic, and lung cancers, while a GWAS of bladder cancer is currently underway. By making the data available to both intramural and extramural research scientists, as well as those in the private sector through rapid posting, NIH can leverage its resources to ensure that the dramatic advances in genomics are incorporated into rigorous population-based studies. Ultimately, findings from these studies may yield new preventive, diagnostic, and therapeutic interventions for cancer. Sponsors: This resource is supported by the U.S. National Institues Of Health.

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• SciCrunch
• 14 years ago - by Anonymous

Program DynaFit Analysis of (bio)chemical kinetics and equilibria Welcome to the DynaFit home page. Purpose Symbolic Notation Bibliographic Reference Numerical Methods Minimum System Requirements Purpose The main purpose of the program DynaFit is to perform nonlinear least-squares regression of chemical kinetic, enzyme kinetic, or ligand-receptor binding data. The experimental data can be either initial reaction velocities in dependence on the concentration of varied species (e.g., inhibitor concentration vs. velocity), or the reaction progress curves (e.g., time vs. absorbance). Symbolic Notation The main advantage in using the program DynaFit is in the ability to characterize the (bio)chemical reacting system in terms of symbolic, or stoichiometric, equations. For example, the ``slow, tight'''' inhibition of a dissociative dimeric enzyme is described by the following text: Monomer Monomer <==> Enzyme : k1 k2 Enzyme Inhibitor <==> Complex : k3 k4 Enzyme Substrate <==> ReactiveX : k5 k6 ReactiveX --> Product Enzyme : k7 k8 The names of chemical species (Monomer, Enzyme, etc.) are entirely arbitrary and can be freely chosen by the investigator. Bibliographic Reference If you publish any results obtained by using DYNAFIT, plase cite the following reference: Kuzmic, P. (1996) Anal. Biochem. 237, 260-273. Program DYNAFIT for the Analysis of Enzyme Kinetic Data: Application to HIV Proteinase ABSTRACT A computer program with the code name DYNAFIT was developed for fitting either the initial velocities, or the time-course of enzyme reactions, to an arbitrary molecular mechanism represented symbolically by a set of chemical equations. Seven numerical tests and five graphical tests are applied to judge the goodness of fit. Experimental data on the inhibition of the dissociative dimeric proteinase from HIV were used in four test examples. A set of initial velocities was analyzed to see if a tight-binding inhibitor could bind to the HIV proteinase monomer. Three different sets of progress curves were analyzed (i) to determine the kinetic properties of an irreversible inhibitor; (ii) to investigate the dissociation and denaturation mechanism for the protease dimer; and (iii) to investigate the inhibition mechanism for a transient inhibitor. See a MEDLINE abstract with related references concerning the kinetics of HIV-1 protease. Numerical Methods The nonlinear regression module uses the Levenberg-Marquardt algorithm [1]. The time-course of (bio)chemical reactions is computed by the numerical integration of simultaous first-order ordinary differential equations, using the Livermore Solver of ODe Systems (LSODE, [2]). The composition of complex mixtures at equilibrium (e.g., in the concentration jump experiment where a complex mixture is incubated prior to the addition of a reagent) is computed by solving simultaneous nonlinear algebraic equations, namely, the mass balance equations for the component species, by using the multidimensional Newton-Raphson method [3]. References G. A. F. Seber and C. J. Wild (1989) Nonlinear Regression, Wiley, New York, p. 624. A. C. Hindmarsh (1983) ODEPACK: a systematized collection of ODE solvers; in Scientific Computing, ed. R. S. Stepleman et al., North Holland, Amsterdam, pp. 55--64. E. Kreyszig (1993) Advanced Engineering Mathematics; 7th ed., John Wiley, New York, p. 929. Minimum System Requirements DynaFit for Windows Intel Pentium III or Celeron class 800 MHz or faster processor Microsoft Windows XP (SP1) or 2000 (SP2) 128 MB RAM 20 MB Hard Disk Space Ethernet Network Interface Card required for license activation(1) CD/DVD-ROM drive required for software installation(2) (1) The Network Interface Card is used to compute a unique Computer ID, tied to a particular DynaFit license. Essentially the Computer ID required for license activation is an encrypted Media Access Control (MAC address) associated with the given Network Card. (2) CD/DVD-ROM is not required if the software is being installed by using the downloadable installer file dynafit-install.zip. Sponsor. This work has been supported by the NIH, grant No. R43 AI52587-02 and the U.S. Department of Defense, U.S. Army Medical Research and Materials Command, Ft. Detrick, MD, administered by the Pacific Telehealth & Technology Hui, Honolulu, HI, contract No. V549P-6073.

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• SciCrunch
• 17 years ago - by Anonymous

This database contains nearly 300 sequences known to bind calmodulin, published as of March 2003. Calmodulin is an intracellular calcium receptor found ubiquitously in eukaryotes. It is capable of regulating biological activities of many cellular proteins and transmembrane ion transporters mainly in a Ca2 -dependent manner. When the intracellular calcium level rises to 10-5 M, four Ca2 ions bind to calmodulin, and this Ca2 -calmodulin complex binds the target proteins, initiating various signalling cascades. Calmodulin has four EF-hand motifs that change conformation upon binding calcium ions. Each EF-hand motif contains two alpha helices connected by a 12-residue loop. The calcium ion binds to the loop region and changes the relative positions of the alpha helices (Yap et al, 1999). In absence of calcium, the alpha-helices in the EF-hand motif of calmodulin are positioned almost parallel to each other. This is known as the closed conformation. Sponsors: This resource is supported by the Ikura Lab, Ontario Cancer Institute. Keywords: Database, Sequence, Calmodulin, Intracellular, Calcium Receptor, Eukaryote, Transmembrane, Protein, Biological, Cellular, Target, Motif, Helix, Signaling,

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• SciCrunch
• 17 years ago - by Anonymous

Cytokines are a diverse group of cell intercellular messengers responsible for signaling variety of cell functions, such as immunity, hematopoiesis, chemotactic activities, cell maturation, proliferation, growth and differentiation through their interactions with respective receptors on cell membranes. Currently, a number of cytokines have been identified and classified

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• 17 years ago - by Anonymous

A commercial antibody company.

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• 17 years ago - by Anonymous

COILS is a program that compares a sequence to a database of known parallel two-stranded coiled-coils and derives a similarity score. By comparing this score to the distribution of scores in globular and coiled-coil proteins, the program then calculates the probability that the sequence will adopt a coiled-coil conformation.

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• SciCrunch
• 17 years ago - by Anonymous

This database is a public resource for inference of large phylogenetic trees. It is designed to provide all researchers with access to large computational resources of the NSF TeraGrid through a simple browser interface. The CIPRES Science Gateway provides new hybrid parallel versions of RAxML (7.2.7) and MrBayes (3.1.2), as well as parallel GARLI (1.0) code to insure the fastest possible run times for submitted jobs. Through a collaboration with Alexandros Stamatakis and Wayne Pfeiffer, they now offer the fastest hybrid versions of RAxML and MrBayes currently available. Sponsors: The CIPRES project is a multi-site collaboration funded by the NSF Information Technology Research (ITR) program grant entitled BUILDING THE TREE OF LIFE: A National Resource for Phyloinformatics and Computational Phylogenetics.

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• SciCrunch
• 14 years ago - by Anonymous

With remarkable advances in genomic technologies, the National Cancer Institute established the Core Genotyping Facility (CGF) to investigate the contribution of germline genetic variation to cancer susceptibility and outcomes. Working in concert with epidemiologists, biostatisticians and basic research scientists in the intramural research program, the CGF has developed the capacity to conduct genome-wide association studies and candidate gene approaches to identify the heritable determinants of various forms of cancer. In order to ensure the accuracy and timely completion of all CGF provided operations, the following Information Systems were developed. While the investigator does not have direct access to these systems, their availability to CGF staff members greatly aids in their querying and reporting capabilities. In turn this provides benefit to the investigator by providing the most up to date reporting possible. The Core Genotyping Facility (CGF) offers a wide variety of sample preparation and genotyping operations. All samples received must meet minimum requirements and are taken through the Sample Handling pipeline prior to completing any genotyping. The Sample Handling pipeline includes DNA quantification and genetic fingerprinting. Also offered are Whole Genome Amplification (WGA) assays, to get the most yield out of low quantity DNA samples. Theirr genotyping products cover a wide-range of assay sizes. The CGF operates the Illumina BeadLab system which supports Illumina assay technologies including the whole genome genotyping Infinium assays, custom GoldenGate OPA assays, and Custom Infinium (iSelect) assays. In addition, the CGF offers Affymetrix GeneChip arrays and uniplex TaqMan genotyping. Sponsors: CGF is supported by the SAIC-Frederick. :Keywords: Genomic, Technology, Cancer, Genotyping, Germline, Genetic, Epidemiologist, Biostatistician, Research, Gene, Assay, Genotype, Pipeline, Genome, DNA, :

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• SciCrunch
• 17 years ago - by Anonymous