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Nov 15, 2009 (Vol. 29, No. 20)

UCL Department of Computer Science Bioinformatics Group

  • Many analytical tools
  • None

How is one expected to tackle the many genomic and proteomic puzzles in the life sciences today? Well, it certainly doesn’t hurt to have computer scientists as friends. (And by friends, I mean “people who graciously make their analysis tools freely available online.”) The website for the bioinformatics group in the department of computer science at the University College London is a virtual gold mine for genomic and proteomic tools. Under the headings of protein-structure prediction, protein sequence analysis, genome analysis, protein-structure classification, transmembrane protein modeling, and biological applications of data-mining and machine-learning technologies, there is a total of 15 analysis tools. So whether you’re in need of a metal binding residue prediction or a search engine to comb through scientific literature for you, head over to this wonderful site.

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*The opinions expressed are solely those of the author(s) and should not be construed as reflecting the viewpoints of the publisher, Genetic Engineering & Biotechnology News, Mary Ann Liebert, Inc., the publishing house, or employees and affiliates thereof.

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Scientifically Studying Ecstasy

MDMA (commonly known as the empathogen “ecstasy”) is classified as a Schedule 1 drug, which is reserved for compounds with no accepted medical use and a high abuse potential. Two researchers from Stanford, however, call for a rigorous scientific exploration of MDMA's effects to identify precisely how the drug works, the data from which could be used to develop therapeutic compounds.

Do you agree that ecstasy should be studied for its potential therapeutic benefits?

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