Linked Life Data

9322059

Source:http://linkedlifedata.com/resource/pubmed/id/9322059

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
1997-12-11
pubmed:abstractText
Peptide-Mass Fingerprinting (PMF) encompasses a number of techniques for protein characterization which have as a first step the cleaving of target proteins by chemical or enzymatic reagents. Software systems exist which perform similar analyses. However, this is the first study which examines theoretically the effectiveness of the particular reagents for PMF. In this study, the task of PMF was to identify every sequence in a non-redundant protein database, via "in silico" digestion with theoretical proteases. From these experiments, some conclusions are drawn about the characteristics of better reagents and the experimental conditions which are more likely to be useful for PMF. The need for strongly non-redundant databases is also highlighted.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1553-0833
pubmed:author
pubmed:issnType
Print
pubmed:volume
5
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
340-3
pubmed:dateRevised
2007-11-15
pubmed:meshHeading
pubmed:year
1997
pubmed:articleTitle
Better cutters for protein mass fingerprinting: preliminary findings.
pubmed:affiliation
European Bioinformatics Institute, Hinxton, UK.
pubmed:publicationType
Journal Article, Comparative Study