Second try to clean spaces in metadata.xml

Signed-off-by: Justin Lecher <jlec@gentoo.org>

1 files changed, 29 insertions, 29 deletions

diff --git a/sci-chemistry/shiftx2/metadata.xml b/sci-chemistry/shiftx2/metadata.xml
index 6fee17f87..e35d2bc02 100644
--- a/sci-chemistry/shiftx2/metadata.xml
+++ b/sci-chemistry/shiftx2/metadata.xml
@@ -6,36 +6,36 @@
 		<name>Gentoo Chemistry Project</name>
 	</maintainer>
 	<longdescription>
-		SHIFTX2 predicts both the backbone and side chain 1H, 13C and 15N chemical
-		shifts for proteins using their structural (PDB) coordinates as input.
-		SHIFTX2 combines ensemble machine learning methods with sequence
-		alignment-based methods to calculate protein chemical shifts for
-		backbone
-		and side chain atoms. SHIFTX2 has been trained on a carefully selected
-		set of
-		197 proteins and tested on a separate set of 61 proteins. Both the
-		training
-		and testing sets consisted of high resolution X-ray structures (less
-		2.1A)
-		with carefully verified chemical shifts assignments. SHIFTX2 is able to
-		attain
-		correlation coefficients between experimentally observed and predicted
-		backbone chemical shifts of 0.9800 (15N), 0.9959 (13CA), 0.9992 (13CB),
-		0.9676 (13CO), 0.9714 (1HN), 0.9744 (1HA) and RMS errors of 1.1169, 0.4412,
-		0.5163, 0.5330, 0.1711, and 0.1231 ppm, respectively. Comparisons to
-		other
-		chemical shift predictors using the same testing data set indicates that
-		SHIFTX2 is substantially more accurate (up to 26% better by
-		correlation
-		coefficient with an RMS error that is up to 3.3X smaller) than any other
-		program.
+SHIFTX2 predicts both the backbone and side chain 1H, 13C and 15N chemical
+shifts for proteins using their structural (PDB) coordinates as input.
+SHIFTX2 combines ensemble machine learning methods with sequence
+alignment-based methods to calculate protein chemical shifts for
+backbone
+and side chain atoms. SHIFTX2 has been trained on a carefully selected
+set of
+197 proteins and tested on a separate set of 61 proteins. Both the
+training
+and testing sets consisted of high resolution X-ray structures (less
+2.1A)
+with carefully verified chemical shifts assignments. SHIFTX2 is able to
+attain
+correlation coefficients between experimentally observed and predicted
+backbone chemical shifts of 0.9800 (15N), 0.9959 (13CA), 0.9992 (13CB),
+0.9676 (13CO), 0.9714 (1HN), 0.9744 (1HA) and RMS errors of 1.1169, 0.4412,
+0.5163, 0.5330, 0.1711, and 0.1231 ppm, respectively. Comparisons to
+other
+chemical shift predictors using the same testing data set indicates that
+SHIFTX2 is substantially more accurate (up to 26% better by
+correlation
+coefficient with an RMS error that is up to 3.3X smaller) than any other
+program.
 
-		Please cite the following: Beomsoo Han, Yifeng Liu, Simon Ginzinger, and
-		David Wishart. (2011) SHIFTX2: significantly improved protein chemical
-		shift
-		prediction. Journal of Biomolecular NMR, Volume 50, Number 1, 43-57.
-		doi: 10.1007/s10858-011-9478-4.
-	</longdescription>
+Please cite the following: Beomsoo Han, Yifeng Liu, Simon Ginzinger, and
+David Wishart. (2011) SHIFTX2: significantly improved protein chemical
+shift
+prediction. Journal of Biomolecular NMR, Volume 50, Number 1, 43-57.
+doi: 10.1007/s10858-011-9478-4.
+</longdescription>
 	<use>
 		<flag name="debug">Enables debug output in the shiftx2 java part</flag>
 	</use>