Rosetta
brunette Directory Reference
Directory dependency graph for brunette:
src/apps/pilot/brunette

Files

file  abego_predict.cc
 
file  add_xyz_to_pose.py
 
file  aln_to_disulf.cc
 
file  armEval.cc
 
file  calc_ssm_energies_with_structure_profile.cc
 
file  calcFractionFolded.cc
 
file  cluster_alns.cc
 Divide input alns into clusters based on gdtmm comparison of partial models.
 
file  contact_map_from_homologs.cc
 
file  convertFragmentType.cc
 
file  dumpPhiPsiStats.cc
 
file  enumerate_junctions.py
 
file  evalFullLength.cc
 
file  evalRepeats.cc
 
file  extractNativeRepeats.cc
 
file  filterAlignments.cc
 
file  filterImperfectAln.cc
 This takes two sets of alignments. 1 perfect and 1 imperfect. The output is the residues of the imperfect alignment that are correctly aligned.
 
file  findNaturallyOccuringAlphaRepeats.cc
 
file  fragments_to_ss.cc
 
file  get_junctions_from_legos.py
 
file  hle_predict.cc
 
file  minimalCstHomology.cc
 : Generates the minimal coordinate constraints necessary for fixing homology model. Also creates fasta with virtual. @usage: -in::file::alignment alignment.filt -in::file::template_pdb <pdb names from within the alignment> -in:file:coordCsts <pdb names from within the alignment> -in:file:fasta <fasta name>
 
file  minimalCstRelax.cc
 For the first structure in the alignment compare the deviation between native and the relaxed native structure. Then constraints are modified and coordinate constraints are added. If an alignment is given only the residues from the beginning to end of the alignment are used.
 
file  outputAbego.cc
 
file  outputLayerDesignBurial.cc
 
file  outputRama.cc
 
file  outputSasa.cc
 
file  predictedCstFilter.cc
 
file  repeat_dock.cc
 
file  silents_to_ss.cc
 
file  tj_util.hh
 
file  unalignedEvaluate.cc
 This takes an alignment file, fasta file, and a silent file. It then evaluates the qualities of the loops.