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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