Results from AQUA
Extraction of data from RDB file 'Aqua_xtst.rdb'
RDB header
# Perl-RDB
#
# PROGRAM AQUA
# DATE file generated on Wed May 1 0:24:53 CET 1996
#
# OVERALL SCORES:
# nPairs 4
# nPred 4
# nTrue 2
# rankFst 1
# rankAcc 50
# rankCov 100
# rankFaTb 2
# zHisto 3 , 2
# zNocc 4 , 4
# zNcor 2 , 2
# zAcc 50 , 50
# zCov 100 , 100
#
# NOTATION OVERALL SCORES:
# nPairs number of pairs in predicted alignment
# nPred number of predicted pairs included in analysis
# (i.e. not found in Exclude set, zscore, and length ok asf.)
# nTrue number of pairs in true alignment that were not excluded
# (i.e. found in Search set NOT found in Exclude set, zscore ok asf.)
# rankFst rank of first correct hit
# rankAcc 100 * (number of correct hits/number of hits)
# note: appropriately changed if Exclude and Search set given!
# rankCov 100 * (number of correct hits/number of true hits)
# note: appropriately changed if Exclude and Search set given!
# rank50 rank at which number of correct hits equals number of false hits
# rankFaTb rank at which number of false positive hits above this rank (fA)
# equals the number of correct hits below this rank (tB)
# zHisto intervals for z-dependent rank analysis
# (take all pairs i with z(i) > zHisto)
# zNocc number of pairs with z(i) > zHisto
# zNcor number of correctly predicted pairs with z(i) > zHisto
# zAcc z-dependent accuracy = 100 * (zNcor/zNocc)
# zCov z-dependent coverage = 100 * (zNcor/[min(nTrue,zNocc)])
# shiftAcc AQUAshift accuracy (see below) for first correct hit
# shiftCov AQUAshift coverage (see below) for first correct hit
# shiftPide AQUAshift percentage identity (see below) for first correct hit
#
# NOTATION RANK ANALYSIS:
# *Pred describes the 'predicted' alignment
# *True describes the 'true' alignment
#
# ok =1, hit was found in true alignment
# incl =1, hit was NOT excluded, i.e.,found in 'to-be-excluded' list
# (i) it was not found in 'to-be-excluded' list (e.g. as >25% seqide;
# option: 'fileExclude=file')
# (ii) rali=(2*lenAli)/(lenSeq+lenStr) was above the chosen cut-off
# (option: 'inclRali=x')
# (iii) the zscore was above the chosen cut-off (option 'inclRel=x')
# whyExcl reason why excluded:
# inExcl = found in Exclude set (given by user)
# lenCut = 2*lenAli/(lenSeq+lenStr) < cut-off, provided
# zCut = zscore (for Dali or prediction) < cut-off, provided
# confCut= confidence < cut-off, provided
# conf confidence for correctness of homologue(0=low, 9=high)
#
# rankPred rank in input file
# rankAqua rank in analysis (skipping pairs that were excluded)
# lenSeqPred length of 'Sequence', i.e. search protein
# lenStrPred length of 'Structure', i.e. template protein from database
# lenAliPred number of residues aligned in predicted pair
# pidePred percentage of sequence identity (Nres identical/Nres aligned)
# lenSeqTrue length of 'Sequence', i.e. search protein
# (may differ from lenSeqPred, if e.g. only one chain, or domain)
# lenStrTrue length of 'Structure', i.e. template protein
# (may differ from lenSeqPred, if e.g. only one chain, or domain)
# lenAliTrue number of residues aligned in true pair
# pideTrue percentage of sequence identity (Nres identical/Nres aligned)
#
# zPred reliability (z-score, probability, energy) of the predicted pair
#
# NOTATION ALIGNMENT SHIFT ANALYSIS:
# shiftAcc 100* (ShiftScore/lenAliTrue)
# shiftPide 100* (number of residues correctly aligned/lenAliTrue),
# i.e. the percentage of correctly aligned residues
# shiftCov lenAliTrue/lenAliPred (note: if > 1 , this indicates
# an overprediction)
# shiftAccRan shiftAcc for a pair with the same N- and C-term as the
# predicted alignment, but with randomly inserted gaps
# (random background)
# shift0 number of residues with a shift of 0
# shift1 number of residues with a shift of 1
# shift2 number of residues with a shift of 2
# shift3 number of residues with a shift of 3
#
# NOTATION ALIGNMENT 3D ANALYSIS:
#
#
# zDali significance of true alignment (DALI z-score)
# rmsDali r.m.s.d. compiled by DALI
#
# NOTATION OVERALL AVERAGES:
# the final rows contain the following information
# note: columns that do not make sense are empty
# ave averages over columns
# var variance of averages
# sum for shift histograms: sums over all occurrences of a shift of 0 - N
# perc for shift histograms: percentages of all occurrences for shift of 0 - N
# aveOk averages compiled only for correct hits
# varOk variances thereof
#
#
RDB table
Averages