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Understand the
definitions and usage of common scientific terms in proteomics by
browsing this Glossary from the Proteome Society®.
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L
LC/MS
Liquid Chromatography/Mass Spectrometry
LCM
Laser Capture Microdissection; a technique for capturing single
cells/ specific cell populations for targeted analysis
Linkage map
A map of the relative positions of genetic loci on a chromosome,
determined on the basis of how often the loci are inherited together.
Locus / loci
The location of a gene or other marker on the surface of a chromosome.
The use of locus is sometimes restricted to mean regions of DNA
that are expressed.
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M
MALDI
Matrix assisted laser-desorption ionization; common form of soft-ionisation
for proteins
Matrix
An organic molecule used to cocrystallize with sample, that absorbs
laser energy and allows sample to desorband ionize in MALDI
MDLC
Multi Dimensional Liquid Chromatography
Molecular
modeling
A process whereby the three-dimensional architecture of molecules
is interpreted (or predicted), visually represented, and manipulated.
Computer simulation of molecular structure, to predict and display
shape, calculate minimum energy conformations and dynamic ranges,
predict recognition sites, binding orientations, etc.
Motif
A conserved element of a protein sequence alignment that usually
correlates with a particular function.
MOWSE
Molecular weight search - software tool at Human Genome Mapping
Project Resource Centre that uses the molecular weights of whole
or digested proteins to identify them
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mRNA
messenger RNA
MS/MS
Tandem Mass Spectrometry; a selected precursor ion of interest may
be fragmented by collision induction, and their mass analyzed
MS-Tag
ProteinProspector database searching tool used to fit the fragment-ion
tag data contained in a user's mass spectrum to a peptide sequence
in an existing database
MultiDent
ExPASy tool - multifunctional, uses PI, molecular weight, mass fingerprints,
and other data to identify proteins
Multiple
alignment
A set of biosequences arranged in a table such that each row of
the table consists of one sequence padded by gaps. The columns of
the table highlight similarity (or residue conservation) between
positions of each biosequence. An optimal multiple alignment is
one that has the highest degree of similarity, or the lowest cost.
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