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The absorption studies on serotonin (STO) and platinum metal clusters were investigated. The STO-Pt3 (gas phase) cluster has the maximum adsorption energy, whereas the water medium has the lowest. The gas phase STO-Pt3 absorption energy is -19.18 kcal/mol, while the water solvent is -11.03. The electrophilicity index of all metal-drug systems is greater, indicating that metal clusters make the serotonin more electrophilic. The cluster's conductivity representation as energy gaps pointed, suggesting it could be a sensor. A more stable gas phase medium has more negative solvation energies than other media types. The metal clusters and molecules interacted substantially in non-covalent interaction studies. Electron localized function (ELF) and localized orbital locator (LOL) experiments proved electron delocalization energies and reduced density gradient (RDG) confirmed non-covalent interactions. Molecular electrostatic potential shows the electrophilic and nucleophilic attractions of STO with Pt3 metal clusters. Frontier molecular orbital (FMO) studies show very low energy gap values.

Multiplexed targeted quantitative proteomics typically utilizes multiple reaction monitoring and allows the optimized quantification of a large number of proteins. One challenge, however, is the large amount of data that needs to be reviewed, analyzed, and interpreted. Different vendors provide software for their instruments, which determine the recorded responses of the heavy and endogenous peptides and perform the response-curve integration. Bringing multiplexed data together and generating standard curves is often an off-line step accomplished, for example, with spreadsheet software. This can be laborious, as it requires determining the concentration levels that meet the required accuracy and precision criteria in an iterative process. We present here a computer program, Qualis-SIS, that generates standard curves from multiplexed MRM experiments and determines analyte concentrations in biological samples. Multiple level-removal algorithms and acceptance criteria for concentration levels are implemented. When used to apply the standard curve to new samples, the software flags each measurement according to its quality. From the user's perspective, the data processing is instantaneous due to the reactivity paradigm used, and the user can download the results of the stepwise calculations for further processing, if necessary. This allows for more consistent data analysis and can dramatically accelerate the downstream data analysis.