PubMed · 13479491
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C H CHERVENKA. 1957. Ultraviolet spectral changes during chymotrypsinogen activation.. https://doi.org/10.1016/0006-3002(57)90084-7
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SUMMARY: Predicting disulfide connectivity precisely helps towards the solution of protein structure prediction. In this study, a descriptor derived from the sequential distance between oxidized cysteines (denoted as DOC) is proposed. An approach using support vector machine (SVM) method based on weighted graph matching was further developed to predict the disulfide connectivity pattern in proteins. When DOC was applied, prediction accuracy of 63% for our SVM models could be achieved, which is significantly higher than those obtained from previous approaches. The results show that using the non-local descriptor DOC coupled with local sequence profiles significantly improves the prediction accuracy. These improvements demonstrate that DOC, with a proper scaling scheme, is an effective feature for the prediction of disulfide connectivity. The method developed in this work is available at the web server PreCys (prediction of cys-cys linkages of proteins).
Deep UV fluorescence detection at 266-nm excitation wavelength has been realized for sensitive detection in microchip electrophoresis. For this purpose, an epifluorescence setup was developed enabling the coupling of a deep UV laser into a commercial fluorescence microscope. Deep UV laser excitation utilizing a frequency quadrupled pulsed laser operating at 266 nm shows an impressive performance for native fluorescence detection of various compounds in fused-silica microfluidic devices. Aromatic low molecular weight compounds such as serotonin, propranolol, a diol, and tryptophan could be detected at low-micromolar concentrations. Deep UV fluorescence detection was also successfully employed for the detection of unlabeled basic proteins. For this purpose, fused-silica chips dynamically coated with hydroxypropylmethyl cellulose were employed to suppress analyte adsorption. Utilizing fused-silica chips permanently coated with poly(vinyl alcohol), it was also possible to separate and detect egg white chicken proteins. These data show that deep UV fluorescence detection significantly widens the application range of fluorescence detection in chip-based analysis techniques.
Field-amplified sample stacking (FASS) is used to separate basic proteins in a poly-(vinyl alcohol)-coated bubble cell capillary. To our knowledge, this is the first paper describing the on-column stacking of proteins (as cations) using FASS in bubble cell capillary. The bubble cell capillary is fabricated using a one-step method. Cetyltrimethylammonium chloride is added into the running buffer to reverse the EOF and, thus, to pump the water plug out during the sample stacking step. The effect of the water plug lengths and sample injection durations were investigated and optimized. The results obtained were compared with those for the normal capillary without bubble cell in terms of resolution and sensitivity enhancement. Under the optimal condition, this method can improve the sensitivity of the peak areas ranging from 5000- to 26 000-fold. The RSDs (n = 5) of the migration time and peak area are satisfactory (less than 0.6 and 12%, respectively). Application of the capillary electrophoresis method with bubble cell, FASS, and UV detection thereby leads to the determination of these proteins at concentrations ranging from 3 to 10 ng/mL, based on a signal-to-noise ratio of 3:1.