[gmx-users] any alternative methods?

[Albert]

On 08/22/2012 07:44 AM, Mark Abraham wrote:
> I don't see how this relates to your claim that you computed a value 
> with GridMAT that doesn't relate to a value computed some other way.
>
> Mark 

And here is the results. As we can see The values is really low. 
However, when I visulizaed the system in VMD, I don't find anything 
weird. here is a snapshot for the system. As we can see from the figure, 
how nice the system is. I cannot believe that the ALP is only 52.


https://dl.dropbox.com/u/56271062/sys.jpg


Ave APL = 52.1366827112516 sq. Ang

protein    5.0    1452.2710749424
Resid    Z-value    Area (sq. Ang.)
416    4.109    35.1355905228
417    3.069    35.1355905228
418    2.65    11.7118635076
419    3.121    58.559317538
420    4.014    35.1355905228
421    3.659    81.9830445532
422    3.511    46.8474540304
423    3.443    46.8474540304
424    4.091    46.8474540304
425    3.55    35.1355905228
426    3.873    23.4237270152
427    3.679    70.2711810456
428    3.612    70.2711810456
429    3.175    46.8474540304
430    3.916    35.1355905228
431    3.423    58.559317538
432    3.004    93.6949080608
433    2.587    11.7118635076
434    3.229    81.9830445532
435    3.426    23.4237270152
436    3.186    93.6949080608
437    2.969    46.8474540304
438    3.144    93.6949080608
439    3.553    70.2711810456
440    3.702    46.8474540304
441    3.446    23.4237270152
442    3.194    81.9830445532
443    3.576    70.2711810456
444    3.141    70.2711810456
445    2.675    58.559317538
446    3.505    105.4067715684
447    3.516    70.2711810456
448    3.414    70.2711810456
449    3.741    35.1355905228
450    3.298    35.1355905228
451    3.033    35.1355905228
452    3.976    58.559317538
453    3.71    58.559317538
454    3.694    23.4237270152
455    3.566    70.2711810456
456    3.391    58.559317538
457    3.388    81.9830445532
458    2.808    46.8474540304
459    3.96    58.559317538
460    2.897    11.7118635076
461    3.719    46.8474540304
462    3.917    93.6949080608
463    3.788    46.8474540304
464    3.907    105.4067715684
465    3.854    46.8474540304
466    3.15    23.4237270152
467    3.441    58.559317538
468    2.862    23.4237270152
469    3.495    11.7118635076
470    3.304    23.4237270152
471    3.449    23.4237270152
472    3.86    46.8474540304
473    3.256    70.2711810456
474    3.282    46.8474540304
475    4.196    46.8474540304
476    3.498    46.8474540304
477    3.03    46.8474540304