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Showing posts with the label modelling and simulation

Protein modeling & Drug discovery training and Internship

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We are bringing out a special program, due to huge no of  enquirers  and considering a special demand by all to conduct a special batch of training on following topic Area of training/Internship Protein modeling & Drug discovery Start date - 15 th  July Emerging trend in healthcare and drug development is being appreciated and this success is being sound after a long dedicated research work on drug discovery, modeling & simulation. If you are giving a thought on finding novel drug, new molecules, we are here to help you. RASA has been very keen to give your research work a novel touch, providing few advanced skill set to you within a framed syllabus designed for you.     APPLY HERE   What will you learn? ·          Give inside how receptor binds to ligand. ·          Help to find ligand activity. ·   ...

FREE! Online MATLAB workshop

MATLAB Workshop at Univ. of Oklahoma and via videoconferencing Morning: Data Analysis with MATLAB (no previous MATLAB experience needed) Afternoon: Parallel Computing with MATLAB WHEN: Tue Feb 28 2012, 10:00-11:30am and 1:00-3:30pm Central Time WHERE: University of Oklahoma, Stephenson Research & Technology Center COST: *FREE* SESSION I: Data Analysis with MATLAB (No previous MATLAB experience needed) 9:45-10:00am Central Time: Registration and check-in 10:00-11:30am Central Time: Data Analysis with MATALB Engineers, scientists, and data analysts worldwide use MATLAB to accelerate research and to reduce analysis and development time. Attend this seminar to find out how you and your colleagues can use MATLAB and its add-on products to analyze your data more effectively and to overcome some of the limitations you face when using spreadsheets for data analysis. We will provide an overview of MATLAB through live demonstrations showing how to: * Access data from many sources (f...

NIH Program Targets Bioinformatics, Computational Biology Projects

More good news for Bio, more so for Bioinfo & CompBio while the end of Jyly say House Passes Proposed 3 Percent NIH Funding Increase now NIH is really promoting Bio Science research to bring in a economic turn. The best of times is now ! A National Institutes of Health funding program will support exploratory research and development projects in informatics and computational biology that explore a range of areas, including genomics , medical genetics, proteomics , biomedical imaging, and a wide variety of other approaches. Funded through the National Cancer Institute, the National Human Genome Research Institute, the other centers across NIH, the " Exploratory Innovations in Biomedical Computational Science and Technology " program will be coordinated by the NIH Biomedical Information Science and Technology Initiative committee. Under the program, NIH will grant up to $275,000 over two years to academic institutes, small businesses, non-profits, state governments, ...

CRANKITE: A fast polypeptide backbone conformation sampler

Background: CRANKITE is a suite of programs for simulating backbone conformations of polypeptides and proteins. The core of the suite is an efficient Metropolis Monte Carlo sampler of backbone conformations in continuous three-dimensional space in atomic details. Methods: In contrast to other programs relying on local Metropolis moves in the space of dihedral angles, our sampler utilizes local crankshaft rotations of rigid peptide bonds in Cartesian space. Results: The sampler allows fast simulation and analysis of secondary structure formation and conformational changes for proteins of average length. Do you want to know more?

The Beta Workbench: a computational tool to study the dynamics of biological systems

The Beta Workbench (BWB), a scalable tool built on top of the newly defined BlenX language to model, simulate and analyse biological systems. Show the features and the incremental modelling process supported by the BWB on a running example based on the mitogen-activated kinase pathway. Provide a comparison with related approaches and some hints for future extensions. Do you want to know more?