helloI am have a MAD dataset collected upto 2.3A but anomalous signal is upto 
3.5A. The dataset is in P6 and based on pointless and absences it is P6122. 
Overall Rlin/rsym is (0.07/ 0.06). the overall redundancy is 10. I have two Se 
peaks, i used solve/resolve to find those peaks. I used datasets from 3.5 to 
20A to find peaks i got two good peaks of occ (1.4 & 0.92). I did 
analyze_solve and refined those peaks. Then i tried resolve to autobuild and 
phasing but it didnt work. The r-factor FC vs FP is 0.40 and FOM 0.6, although 
the results looks promising i couldnt find proper phasing using phenix, 
resolve.autobuild.  i tried phenix.autosol also but it didnt work. how can 
i check the peaks are real.  can anybody suggest me how do I proceed 
further and what r the mistakes i am doing..Thank you EthayathullaFROM 
SOLVE  Site    x       
y       z       
occ&nbs!
 p;      B     -- PEAK  
HEIGHT --    1   0.386   0.986   
0.050   1.449  
60.000             
23.82    2   0.623   0.997   
0.046   0.921  
60.000             
22.11 Summary of scoring for this 
solution:                          
 -- over many solutions--    -- this solution 
-- Criteria                      
 MEAN          
SD         VALUE  &nbs!
 p;     Z-SCORE Pattersons:   &
nbsp;             
 0.129        
0.500        
0.279        0.299 Cross-validation 
Fourier:     
4.83         
2.62         
41.8         14.1 NatFourier 
CCx100:            
3.28         
1.24         
3.93        0.521 Mean figure of 
meritx100:     
0.00         
7.16         
53.5         7.48 Correction for 
Z-scores:      &nb!
 
sp;                                    
 -10.5 Overall Z-score 
value:                                              
 11.9RESOLVE results CORRECTED OVERALL FIGURE OF MERIT OF 
PHASING:   
0.61           
* *     ESTIMATED FRACTION OF PHASE INFORMATION FROM 
PRIOR:  0.39      
* *     ESTIMATED FRACTION OF PHASE INFORMATION FROM 
MAP:    0.61      
* *     NOTE: The fract!
 ion from prior will be roughly proportional to  *  &nbs
p;  Overall average CC:   0.5423778 Results of wilson scaling of 
model Fc to Fo : Scale on I to apply to Fc =      
1.934 B-value to apply to Fc=      
1.971 Overall R-factor for FC vs FP: 0.404 
for       3288 reflections Leaving 
out            1  
reflections with FC=0 and correcting R-factor to  0.4036375  
from   0.4035717      as only   
99.96960     % of the reflections are ok Writing 
overall R-factor   0.4036375      to 
"resolve.rfactor"


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A.S.Ethayathulla,Ph.D.
Department of Biophysics
All India Institute of Medical Sciences
Ansari Nagar
New Delhi-110029
India.
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