Abstract
Complicated Protein Network of Organisms Slows Development of Interaction
Map
Researchers across the world are showing greater interest in developing a
vast knowledge-base of functional proteomics, similar to what they have
accomplished for genomics. However, complex protein network in biological
systems are posing significant challenges in their study of protein function and
subsequent development of protein interaction map. They are also facing a
daunting task of proving that 'in vitro' production of proteins during post-translational
modifications is an accurate representation of 'in vivo' production of proteins.
This is despite the fact that many expression systems have produced modification
patterns very similar to that of humans.
This Frost & Sullivan research on the world functional proteomics market
probes the various steps involved in protein function determination apart from
providing a thorough examination of three key market segments: protein-protein
interactions, post-translational modifications, and informatics tools used for
protein function analysis.
Desire to Understand Cell Signaling Pathways Drives Interest in Protein
Function
Disrupted protein activities are the likely cause of many diseases that can
be controlled by protein modifications. However, it is impossible to modify
protein activity to the point of canceling the signaling mechanism completely.
The need to accurately understand these situations is driving greater interest
in protein functional determination studies.
A flurry of development is expected in the near future, as prospects of
understanding cell pathways and the manner in which cells communicate are
increasing. "Functional proteomics has enabled researchers and companies to
gain a novel and deeper understanding of cell systems and pathway
properties," says the analyst. "This is likely to provide an insight
into the disease mechanisms, leading to new therapeutic regimens for combating
diseases." In addition, a thorough knowledge of pathways is expected to be
helpful in minimizing the side effects of drug treatments.
High Emphasis on Validation of Data
The generation of protein-protein interactions has led to the development of
interaction databases. The development of data in the functional proteomics
market is a highly complex, throughput process and different results are likely
from the same sample due to the differential factors used in data generation.
Due to this, a greater emphasis is being placed on the validation of data, which
is often much more time consuming than conducting the initial experiments.
"Time consumption for validation can be reduced drastically with the
application of stricter validation measures to data prior to incorporation of
results in the database and silico tools," says the analyst.
"Technological advancements that can enable generation of more accurate
data initially and also increase the throughput of validation experiments while
decreasing the need for validation itself are likely to shape future
growth."
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