CryGA (Crystal Growth Assistant) is a web-interfaced program to aid your crystallization experiment design. Based on our statistical analysis on a dataset consisting of both the crystallization data and the property data of some proteins crystallized, CryGA provides a user possible crystallization preference of his or her protein according to its properties. Please specify the information about your protein in the following query form and submit it.
(1) What kind of chain organization of your protein in its functional form may be?
Single Chain Homogenous Multichains Heterogenous Multichains Unknown
 Tips: Homogenous multichains mean only several point mutation differences existing between peptide chains, otherwise heterogenous.
(2) Do you know its amino acid sequence?
Yes Sequence Format No
(3) Do you know its protein isoelectric point (pI) ? If yes, how much is it?
Yes    pI                  Calculate theoretic pI from the sequence              No 
(4) Do you know its secondary structure content?
Yes    Helix %  +  Strand  %    + Coil  =  100%        No
(5) Do you want CryGA to produce random conditions? If yes, how many conditions do you need?
Yes        Number of conditions(<=200)                                    No

                       
 
 
Introduction  
The consideration that molecule properties may influence crystallization behavior of proteins motivates us to explore the potential relationship between protein properties and protein crystallization behavior. We construct a dataset, which contains not only crystallization data, but also a variety of property data of the proteins crystallized. Through data mining, we formulate the relationship between some protein properties and crystallization behavior. Based on our analysis, we implement this web-interfaced program CryGA (Crystal Growth Assistant) to assist the design of crystallization experiments.
The philosophy behind CryGA is that a protein may have the similar crystallization behavior as other proteins with similar properties. According to the property information provided by the user about his or her protein, CryGA will report suggestion to the user. The output of CryGA will have two or three parts depent on the user's choice. The first two parts report the statistical crystallization preference of those proteins with the same properties as the user's protein and the corresponding historical cases randomly chosen. The third part, which is optional, is the randomly produced crystallization conditions.
 
Reference  
Zhi Liang, Shuang He, Deqiang Wang, Gufeng Xu, Maikun Teng, Liwen Niu. CryGA: a protein property based crystallization experiment design assistant (submitted)
 

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