On Tue, Sep 27, 2011 at 11:24:44AM +0200, Laszlo Kajan wrote: > Package: wnpp > Severity: wishlist > Owner: Laszlo Kajan <lkajan@rostlab.org> > > > * Package name : profphd > Version : 1.0.35 > Upstream Author : Laszlo Kajan <lkajan@rostlab.org> > * URL : http://rostlab.org/ > * License : GPL > Programming Lang: Perl > Description : secondary structure and solvent accessibility predictor > > Solvent accessibility is predicted by a neural network method rating at a > correlation coefficient (correlation between experimentally observed and > predicted relative solvent accessibility) of 0.54 cross-validated on a set of > 238 globular proteins (Rost & Sander, Proteins, 1994, 20, 216-226; > evaluation of accuracy). The output of the neural network codes for 10 states > of relative accessibility. Expressed in units of the difference between > prediction by homology modelling (best method) and prediction at random > (worst method), PROFacc is some 26 percentage points superior to a comparable > neural network using three output states (buried, intermediate, exposed) and > using no information from multiple alignments. These paragraphs sound like a scientific abstract or part of a scientific paper. The long description is supposed to help me (as a sysadmin) decide whether or not I want to install the package. Perhaps you could simply describe what the package itself is good for and include the minimum background necessary for me to understand so I can make a decision. -- brian m. carlson / brian with sandals: Houston, Texas, US +1 832 623 2791 | http://www.crustytoothpaste.net/~bmc | My opinion only OpenPGP: RSA v4 4096b: 88AC E9B2 9196 305B A994 7552 F1BA 225C 0223 B187
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