Protein-protein interactions (PPI)

kettlecatelbowcornerΤεχνίτη Νοημοσύνη και Ρομποτική

7 Νοε 2013 (πριν από 4 χρόνια και 6 μήνες)

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protein interactions (PPI)

The great development in sequencing full genomes has lead to a
new challenge: a better understanding of the roles of the gene


and how they interact with each other.

Traditionally, protein inte
ractions were studied individually by
genetic, biochemical and biophysical techniques (Yeast 2 Hybrid
System, for example). However, the massive accumulating data of
genes and proteins, has created a need to use and develop more
comprehensive techniques th
at discover vast amounts of PPI.

Our lecture deals with new high
throughput methods for detecting
PPI using the most advanced techniques of the molecular research:
protein/yeast arrays, libraries and mass
spectrometry, in addition to
methods using computa
tional techniques (
in silico

Having understood the ideas behind each method, and the
techniques to carry them out, the second part deals with comparing
the PPI databases derived from each method. The comparison
refers to the accuracy, coverage, and bi
ases of each method, as
well as focusing on overlaps and complementarities between the
different methods.

The last part of the lecture introduces a Bayesian network approach
for predicting PPI from genomic data.

Legrain P et al, Protein
protein inter
action maps: a lead
towards cellular functions, Trends Genet. 2001;17(6):346

von Mering C et al. (2002) Comparative assessment of large
scale data sets of protein
protein interactions.

Tong AH et al. (2002) A combined experim
ental and
computational strategy to define protein interaction networks
for peptide recognition modules.

Jansen R et al (2003) A Bayesian networks approach for
predicting protein
protein interactions from genomic data.