Bioinformatics computational

R. Steuer and G. Zamora Lopez, Global network properties. Analysis of Biological Networks, Wiley Series on Bioinformatics Computational Techniques and Engineering. B. H. Junker and F. Schreiber, eds., John Wiley Sons, Inc. 2008. 

UCSC Bioinformatics (Computational Biology) Home Page... 

Knudsen, T. B. (2008). The Virtual Embryo Project. In Environmental Bioinformatics Computational... 

Key words Bioinformatics, Computational biology. Virtual chemical library. Virtual combinatorial library. Computer-aided drug design... 

C. Gibas and P. Jambeck, Developing Bioinformatics Computer Skills, O Reilly, Cambridge,... 

California at Santa Cruz Bioinformatics (Computational Biology), 2002. Available http //www.cse.ucsc.edu/research/compbio/ismb99.handouts/KK185FP.html. 

It is well known that the resources available on the Internet are in constant flux, with new sites appearing on a daily basis and established sites disappearing almost as frequently. This also holds true for the dedicated tools used in biochemical and biophysical studies. New tools are constantly becoming available, and established tools, obsolete. Such rapid change makes it difficult to stay current with the state-of-the-art technologies in the areas of bioinformatics and computational biochemistry and biophysics. 

This branch of bioinformatics is concerned with computational approaches to predict and analyse the spatial structure of proteins and nucleic acids. Whereas in many cases the primary sequence uniquely specifies the 3D structure, the specific rules are not well understood, and the protein folding problem remains largely unsolved. Some aspects of protein structure can already be predicted from amino acid content. Secondary structure can be deduced from the primary sequence with statistics or neural networks. When using a multiple sequence alignment, secondary structure can be predicted with an accuracy above 70%. 

Palsson BO. What lies beyond bioinformatics Nat Biotechnol 1997 15 3-4. Kitano H. Computational systems biology. Nature 2002 420 206-10. 

Within the pharmaceutical industry we have progressed from the point where computers in the laboratory were rarely present or used beyond spreadsheet calculations. Now computers are ubiquitous in pharmaceutical research and development laboratories, and nearly everyone has at least one used in some way to aid in his or her role. It should come as no surprise that the development of hardware and software over the last 30 years has expanded the scope of computer use to virtually all stages of pharmaceutical research and development (data analysis, data capture, monitoring and decision making). Although there are many excellent books published that are focused on in-depth discussions of computer-aided drug design, bioinformatics, or other related individual topics, none has addressed this broader utilization of... 

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