The thermal behaviors of such densely packed lamellae crystals were examined by temperature-dependent infrared-reflection absorbance spectroscopy and two-dimensional correlation analysis.
In this study, in situ ATR-FTIR and two-dimensional correlation analysis were employed to investigate the adsorption mechanism of arsenate (As V)) on lanthanum-impregnated activated alumina (LAA).
A two-dimensional correlation analysis on the dynamic spectra indicates that neat LDPE is comprised of three regions: an ordered crystalline region, a disordered, liquid-like region, and a crystal/amorphous interfacial region.
The selective catalysis effect of polyoxometalate and the reaction mechanism was studied by differential scanning calorimetry (DSC), mid-infrared spectroscopy (MIR), near-infrared spectroscopy (NIR) and generalized two-dimensional correlation analysis.
The two-dimensional correlation analysis of CO score and PD score is applicable to any organisms with complete genomic data.
The two-dimensional correlation analysis was then applied to hypothetical proteins of P. furiosus, and promising candidates for being novel DNA/RNA-binding proteins were selected.
The P. furiosus proteins were classified into three classes (I III) on the basis of the two-dimensional correlation analysis of CO score and PD score.
To enhance the spectral resolution and extract correlation and temporal information of the spectral changes, a two-dimensional correlation analysis was performed on each data set, within the spectral region of 1800 1400 cm−1800 1400
The two-dimensional correlation analysis of CO score and PD score effectively separated DNA/RNA-binding proteins from other functionally known proteins in P. furiosus as class I proteins.
Applying the two-dimensional correlation analysis to the 994 hypothetical proteins in P. furiosus, a total of 151 proteins were predicted to be novel DNA/RNA-binding protein candidates.
Therefore, on the basis of the two-dimensional correlation analysis, we combined amino acid composition (CO score) with the PD score to further improve the performance of DNA/RNA-binding protein prediction.
