Source:http://linkedlifedata.com/resource/pubmed/id/15299296
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
Pt 3
|
| pubmed:dateCreated |
2004-8-9
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| pubmed:abstractText |
The crystallization of homogeneous or highly purified macromolecules depends on many variables such as precipitant, pH, choice of buffer, protein concentration, temperature, the participation of different mono- and divalent ions, as well as the presence of minute amounts of detergent and organic molecules. Finding the best combination among these many parameters is a multi-variable optimization problem. This kind of problem can be treated mathematically by sampling techniques. We have used this technique for protein crystallization. The iterative procedure starts with random sampling, followed by quantitative evaluation and cycles with weighted sampling. A simple procedure, derived from this concept and called MON48, has been successfully applied to many protein crystallization problems.
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:status |
PubMed-not-MEDLINE
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| pubmed:month |
May
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| pubmed:issn |
0907-4449
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| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:day |
1
|
| pubmed:volume |
51
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
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| pubmed:pagination |
305-10
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| pubmed:dateRevised |
2007-7-24
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| pubmed:year |
1995
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| pubmed:articleTitle |
Using sampling techniques in protein crystallization.
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| pubmed:affiliation |
Searle/Monsanto, BB4K, Department of Medicinal and Structural Chemistry, North Chesterfield, MO 63198-0001, USA.
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| pubmed:publicationType |
Journal Article
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