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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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