Structural Proteomics

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Sequence and structural proteomics involve the large scale analysis of protein structure. Comparison among the sequence and structure of the protein enable the identification on the function of newly discovered genes (Proteoconsult, n.d.). It consists of two parallel goals which one of the goals is to determine three-dimensional structures of proteins. Determine the structure of the protein help to modeled many other structures by using computational techniques (Christendat et al., 2000). This approach is useful in phylogenetic distribution of folds and structural features of proteins (Christendat et al., 2000). Nuclear magnetic resonance (NMR) spectroscopy is one of the techniques that provide experimental data for those initiatives. It is best applied to proteins which are smaller than 250 amino acids (Yee et al., 2001). Although it is limited by size constraints and also lengthy data collection and analysis time, it is still recommended as it can deliver strong results. There are two types of NMR which are one-dimensional NMR and two-dimensional NMR. One-dimensional NMR provides enough information for assessing the folding properties of proteins (Rehm, Huber & Holak, 2002). It also helps to identify a mixture of folded and unfolded protein by observing both signal dispersion and prominent peak. Observation in one-dimensional spectrum also obtains information on molecular weight and aggregation of molecule under investigation. In spite of this, two-dimensional NMR are used for screening that reveal structural include binding, properties of proteins. It also provides important information for optimizing conditions for protein constructs that are amenable to structural studies (Rehm et al., 2002). NMR is a powerful tool which it w...

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...bioanalytical systems which based on electrochemiluminescence detection and evanescent field fluorescent detection showed the best sensitivities (Dupuy et al., 2009). The power of immunoblotting is extended with this method in order to provide a quantitative analysis of differential expression of active and parental proteins (Tibes et al., 2006). Moreover, by using RPPA, samples can be spotted at same time which is suitable for retrospective analysis of large number of specimens. This technique which can be used to analyze large number of proteins from each sample is suitable to analyze the population of cells that present in low numbers. On the other hand, this technique also has limitation which it only identifies to known proteins or targets only (Tibes et al., 2006). However, it stills a useful technique that use in the study of functional proteomics analysis.

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