Multiple alignment of "AP1_CHICK  226:" and homologous sequences.
Number of sequences 42; Alignment length 31.
Physico-chemical characteristics of amino acids :
; 
Integral sequence characteristics (alignment positions numbers):
1. Qn: 1.(27-31);.
2. Qc: 1.(6-8);.
3. Qn+Qc: 1.(6-8);1.(27-31);.
4. Qn-Qc: 1.(6-8);-1.(27-31);.
 Mean(M) and variance(V):
1: Qn         30.02857   27.94553  
2: Qc         24.98738   23.47130  
3: Qn+Qc      55.01595   18.02915  
4: Qn-Qc      -5.04119   84.80452  
Correlations between characteristics (95% level=0.297573):
            Qn         Qc         Qn+Qc      Qn-Qc     
 Qn         1.00000   
 Qc         -0.65183   1.00000   
 Qn+Qc      0.50127    0.32947    1.00000   
 Qn-Qc      -0.91696   0.90027    -0.11443   1.00000   

Regression(y=Ax+B) B:
            Qn         Qc         Qn+Qc      Qn-Qc     
 Qn         0.00000   
 Qc         58.58784   0.00000   
 Qn+Qc      -54.33556  -56.38539  0.00000   
 Qn-Qc      27.26241   27.48096   54.67967   0.00000   

Regression(y=Ax+B) A:
            Qn         Qc         Qn+Qc      Qn-Qc     
 Qn         0.00000   
 Qc         -1.14295   0.00000   
 Qn+Qc      1.53345    1.47908    0.00000   
 Qn-Qc      -0.54871   0.49464    -0.06671   0.00000   

95% Confidence interval for A (1):
            Qn         Qc         Qn+Qc      Qn-Qc     
 Qn         0.00000   
 Qc         -0.78159   0.00000   
 Qn+Qc      3.08504    11.45348   0.00000   
 Qn-Qc      -0.47459   0.57374    0.12259    0.00000   

95% Confidence interval for A (2):
            Qn         Qc         Qn+Qc      Qn-Qc     
 Qn         0.00000   
 Qc         -1.70595   0.00000   
 Qn+Qc      0.89225    0.50656    0.00000   
 Qn-Qc      -0.62778   0.42022    -0.26089   0.00000   


================== Data for original sample ==================
Weights [in brackets] are not applied.
                           Qn         Qc         Qn+Qc      Qn-Qc     
AP1_CHICK  226: [0.023810]: 36.76000   18.96000   55.72000   -17.80000 
AP1_DROME  207: [0.023810]: 35.42000   18.94000   54.36000   -16.48000 
AP1_KLULA   46: [0.023810]: 39.20000   18.51000   57.71000   -20.69000 
AP1_SCHPO   71: [0.023810]: 32.08000   17.66000   49.74000   -14.42000 
ATF1_HUMAN 208: [0.023810]: 29.65000   23.72000   53.37000   -5.93000  
ATF1_SCHPO 469: [0.023810]: 28.61000   30.24000   58.85000   1.63000   
ATF2_MOUSE 155: [0.023810]: 29.14000   31.26000   60.40000   2.12000   
ATF3_HUMAN  81: [0.023810]: 26.85000   30.24000   57.09000   3.39000   
ATF3_MOUSE  81: [0.023810]: 26.85000   31.26000   58.11000   4.41000   
ATF4_HUMAN 273: [0.023810]: 24.09000   25.46000   49.55000   1.37000   
ATF4_MOUSE 271: [0.023810]: 24.09000   25.46000   49.55000   1.37000   
BBF2_DROME 435: [0.023810]: 23.04000   25.50000   48.54000   2.46000   
CAD1_YEAST  38: [0.023810]: 36.90000   21.42000   58.32000   -15.48000 
CNC_DROME  342: [0.023810]: 26.02000   19.55000   45.57000   -6.47000  
CPC1_NEUCR 211: [0.023810]: 28.83000   17.92000   46.75000   -10.91000 
CREA_HUMAN 157: [0.023810]: 29.65000   23.72000   53.37000   -5.93000  
CREA_MOUSE 166: [0.023810]: 29.65000   23.72000   53.37000   -5.93000  
CREB_BOVIN 262: [0.023810]: 29.65000   23.72000   53.37000   -5.93000  
CREB_CHLVR 186: [0.023810]: 29.65000   23.72000   53.37000   -5.93000  
FOSB_HUMAN 150: [0.023810]: 28.33000   31.26000   59.59000   2.93000   
FOSX_MSVFR 108: [0.023810]: 23.17000   31.26000   54.43000   8.09000   
FOS_AVINK   86: [0.023810]: 23.17000   31.26000   54.43000   8.09000   
FOS_CYPCA  108: [0.023810]: 23.17000   30.24000   53.41000   7.07000   
FOS_FUGRU  116: [0.023810]: 23.17000   30.24000   53.41000   7.07000   
FRA1_HUMAN 100: [0.023810]: 23.05000   32.28000   55.33000   9.23000   
FRA2_CHICK 119: [0.023810]: 27.76000   31.26000   59.02000   3.50000   
FRA_DROME  253: [0.023810]: 22.65000   26.50000   49.15000   3.85000   
GCN4_YEAST 220: [0.023810]: 37.54000   18.30000   55.84000   -19.24000 
JUNB_CYPCA 224: [0.023810]: 36.44000   18.96000   55.40000   -17.48000 
JUNB_HUMAN 263: [0.023810]: 36.76000   18.92000   55.68000   -17.84000 
JUND_CHICK 237: [0.023810]: 36.44000   18.96000   55.40000   -17.48000 
MAFF_CHICK  46: [0.023810]: 26.90000   26.15000   53.05000   -0.75000  
MAFG_CHICK  46: [0.023810]: 27.43000   26.15000   53.58000   -1.28000  
MAFK_CHICK  46: [0.023810]: 27.43000   26.15000   53.58000   -1.28000  
MAFK_MOUSE  46: [0.023810]: 27.43000   26.15000   53.58000   -1.28000  
NRL_HUMAN  154: [0.023810]: 38.79000   26.15000   64.94000   -12.64000 
PCR1_SCHPO   5: [0.023810]: 28.09000   31.26000   59.35000   3.17000   
PDR4_YEAST  59: [0.023810]: 39.20000   20.99000   60.19000   -18.21000 
SKO1_YEAST 403: [0.023810]: 34.38000   30.24000   64.62000   -4.14000  
TJUN_AVIS1 212: [0.023810]: 36.76000   18.96000   55.72000   -17.80000 
TMAF_AVIS4 269: [0.023810]: 35.61000   25.13000   60.74000   -10.48000 
XBP1_HUMAN  64: [0.023810]: 31.40000   21.72000   53.12000   -9.68000  

================== Comparison with randomized samples ==================
Comparison of the characteristic variances.
             ORIGINAL RND_EXPECT   RND_MEAN  RND_STDEV P{F(RND)>F(ORIG)}
 Qn         27.94553   26.30997   26.31083   4.90213    0.36200   
 Qc         23.47130   18.19173   17.99377   2.93490    0.04000   
 Qn+Qc      18.02915   44.50170   44.55424   9.04457    1.00000   
 Qn-Qc      84.80452   44.50170   44.05494   8.90377    0.00000   

Correlation coefficients: Mean
            Qn         Qc         Qn+Qc      Qn-Qc     
 Qn         0.00000   
 Qc         0.00538    0.00000   
 Qn+Qc      0.76915    0.63552    0.00000   
 Qn-Qc      -0.76539   0.63174    -0.18538   0.00000   

Correlation coefficients: Std.Dev.
            Qn         Qc         Qn+Qc      Qn-Qc     
 Qn         0.00000   
 Qc         0.02499    0.00000   
 Qn+Qc      0.00311    0.00825    0.00000   
 Qn-Qc      0.00349    0.00746    0.01412    0.00000   

P{|Cor(rand)|>|Cor(orig)|}
            Qn         Qc         Qn+Qc      Qn-Qc     
 Qn         0.00000   
 Qc         0.00000    0.00000   
 Qn+Qc      1.00000    0.99500    0.00000   
 Qn-Qc      0.00000    0.00000    0.73600    0.00000   


================== Variance distribution in random samples ==================
Random samples distribution for Qn variance: 
 5.86398    0.00000   
 7.92506    0.00000   
 9.98614    0.00000   
 12.04721   0.00100   
 14.10829   0.00800   
 16.16937   0.01400   
 18.23045   0.03800   
 20.29153   0.08700   
 22.35261   0.13600   
 24.41369   0.14800   
 26.47476   0.18600   
 28.53584   0.14400   
 30.59692   0.11100   
 32.65800   0.05800   
 34.71908   0.03000   
 36.78016   0.01900   
 38.84124   0.01200   
 40.90231   0.00700   
 42.96339   0.00000   
 45.02447   0.00100   
Random samples distribution for Qc variance: 
 7.36393    0.00000   
 8.48542    0.00000   
 9.60691    0.00000   
 10.72841   0.00400   
 11.84990   0.01800   
 12.97140   0.03500   
 14.09289   0.06200   
 15.21439   0.11600   
 16.33588   0.13200   
 17.45737   0.15400   
 18.57887   0.13700   
 19.70036   0.12500   
 20.82186   0.08100   
 21.94335   0.07100   
 23.06485   0.03200   
 24.18634   0.02300   
 25.30783   0.00500   
 26.42933   0.00200   
 27.55082   0.00000   
 28.67232   0.00300   
Random samples distribution for Qn+Qc variance: 
 6.90219    0.00000   
 10.74991   0.00000   
 14.59763   0.00000   
 18.44535   0.00100   
 22.29308   0.00700   
 26.14080   0.01700   
 29.98852   0.05100   
 33.83624   0.08100   
 37.68396   0.13400   
 41.53169   0.18100   
 45.37941   0.17600   
 49.22713   0.13600   
 53.07485   0.09400   
 56.92257   0.04700   
 60.77030   0.04400   
 64.61802   0.01600   
 68.46574   0.01100   
 72.31346   0.00300   
 76.16118   0.00100   
 80.00891   0.00000   
Random samples distribution for Qn-Qc variance: 
 7.54830    0.00000   
 11.32944   0.00000   
 15.11058   0.00000   
 18.89172   0.00100   
 22.67286   0.00700   
 26.45401   0.02400   
 30.23515   0.05100   
 34.01629   0.09500   
 37.79743   0.16000   
 41.57857   0.15900   
 45.35972   0.16000   
 49.14086   0.12600   
 52.92200   0.09600   
 56.70314   0.05900   
 60.48428   0.04100   
 64.26543   0.01300   
 68.04657   0.00400   
 71.82771   0.00100   
 75.60885   0.00300   
 79.38999   0.00000