Ubuntu
concavity package

concavity 0.1+dfsg-1 source package in Ubuntu

Changelog

concavity (0.1+dfsg-1) unstable; urgency=low

  [ Laszlo Kajan ]
  * Removed dm upload allowed from d/control.

  [ Andreas Tille ]
  * add myself to Uploaders
  * cme fix dpkg-control
  * moved debian/upstream to debian/metadata/upstream
  * use Files-Excluded to create upstream source
  * moved to git
  * debhelper 9
  * Priority: optional
  * remove debug package since these are generated automatically
  * DEP5 fixes
  * cleanup rules

 -- Andreas Tille <email address hidden>  Fri, 08 Jan 2016 09:39:18 +0100

Upload details

Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any
Section:
misc
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release universe misc

Downloads

File Size SHA-256 Checksum
concavity_0.1+dfsg-1.dsc 1.9 KiB 1dff8f0e14119d4a497c3b5b14e3bc5adfc7e279f5201f5f34cba24e1e5510db
concavity_0.1+dfsg.orig.tar.xz 314.6 KiB 64dd39ddd1788bc3dcae47bb78f58d0877a42240f59a41711f6a19d814115394
concavity_0.1+dfsg-1.debian.tar.xz 9.9 KiB d3df6f9def96103f5c12a3522618f6e33dab6bb4e969f13637e2fbc23ac0361b

Available diffs

No changes file available.

Binary packages built by this source

concavity: predictor of protein ligand binding sites from structure and conservation

 ConCavity predicts protein ligand binding sites by combining evolutionary
 sequence conservation and 3D structure.
 .
 ConCavity takes as input a PDB format protein structure and optionally
 files that characterize the evolutionary sequence conservation of the chains
 in the structure file.
 .
 The following result files are produced by default:
  * Residue ligand binding predictions for each chain (*.scores).
  * Residue ligand binding predictions in a PDB format file (residue
    scores placed in the temp. factor field, *_residue.pdb).
  * Pocket prediction locations in a DX format file (*.dx).
  * PyMOL script to visualize the predictions (*.pml).
 .
 ConCavity has many features. The default run of concavity is equivalent to
 ConCavity in the paper:
 'Capra JA, Laskowski RA, Thornton JM, Singh M, and Funkhouser TA(2009)
 Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence
 Conservation and 3D Structure. PLoS Comput Biol, 5(12).'.
 .
 score_conservation(1) from the conservation-code package can be used to
 calculate evolutionary sequence conservation for concavity.

concavity-dbgsym: debug symbols for package concavity

 ConCavity predicts protein ligand binding sites by combining evolutionary
 sequence conservation and 3D structure.
 .
 ConCavity takes as input a PDB format protein structure and optionally
 files that characterize the evolutionary sequence conservation of the chains
 in the structure file.
 .
 The following result files are produced by default:
  * Residue ligand binding predictions for each chain (*.scores).
  * Residue ligand binding predictions in a PDB format file (residue
    scores placed in the temp. factor field, *_residue.pdb).
  * Pocket prediction locations in a DX format file (*.dx).
  * PyMOL script to visualize the predictions (*.pml).
 .
 ConCavity has many features. The default run of concavity is equivalent to
 ConCavity in the paper:
 'Capra JA, Laskowski RA, Thornton JM, Singh M, and Funkhouser TA(2009)
 Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence
 Conservation and 3D Structure. PLoS Comput Biol, 5(12).'.
 .
 score_conservation(1) from the conservation-code package can be used to
 calculate evolutionary sequence conservation for concavity.