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authorV3n3RiX <venerix@redcorelinux.org>2017-10-09 18:53:29 +0100
committerV3n3RiX <venerix@redcorelinux.org>2017-10-09 18:53:29 +0100
commit4f2d7949f03e1c198bc888f2d05f421d35c57e21 (patch)
treeba5f07bf3f9d22d82e54a462313f5d244036c768 /sci-chemistry/parassign/metadata.xml
reinit the tree, so we can have metadata
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+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
+<pkgmetadata>
+ <maintainer type="project">
+ <email>sci-chemistry@gentoo.org</email>
+ <name>Gentoo Chemistry Project</name>
+ </maintainer>
+ <longdescription>
+The use of paramagnetic NMR data for the refinement of structures of proteins
+and protein complexes is widespread. However, the power of paramagnetism for
+protein assignment has not yet been fully exploited. PARAssign is software that
+uses pseudocontact shift data derived from several paramagnetic centers attached
+to the protein to obtain amide and methyl assignments. The ability of PARAssign
+to perform assignment when the positions of the paramagnetic centers are known
+and unknown is demonstrated. PARAssign has been tested using synthetic data for
+methyl assignment of a 47 kDa protein, and using both synthetic and experimental
+data for amide assignment of a 14 kDa protein. The complex fitting space
+involved in such an assignment procedure necessitates that good starting
+conditions are found, both regarding placement and strength of paramagnetic
+centers. These starting conditions are obtained through automated tensor
+placement and user-defined tensor parameters. The results presented herein
+demonstrate that PARAssign is able to successfully perform resonance assignment
+in large systems with a high degree of reliability. This software provides a
+method for obtaining the assignments of large systems, which may previously have
+been unassignable, by using 2D NMR spectral data and a known protein structure.
+</longdescription>
+</pkgmetadata>