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This study presents density functional theory based computational analysis of geopolymeric materials of varied Si:Al ratios and extra‐framework cations. Due to the absence of crystallinity and long‐range order in geopolymers, no standard molecular models are present for quantum chemical analysis of these materials. Therefore, computationally feasible molecular models conforming to experimental reports and constraints are developed that accounted for all combinatorially possible local structures in the material. The computational analysis conclusively proved the effect of Si:Al ratio and the identity of the extra‐framework cation on the stability of the material with Si:Al = 2:1 decorated with Ca2 + ions exhibiting the highest stability. No significant effect of local structure is observed on the stability of the systems. Insights into the stability and adsorption property are developed on the basis of partial charge distribution thereby providing the details on the effects of constituent elements on the structure‐property relationships in geopolymers. [ABSTRACT FROM AUTHOR]

Analysis of protein thermostability is vital in protein science to aid the understanding of evolutionary aspects of organic life as well as in protein engineering for modern day industrial applications. In the present study, supervised machine learning (ML) algorithms are employed to unravel potential patterns behind protein thermostability. This computational analysis conclusively shows inverse gamma turns, VIII turns, and the propensity of cysteine (Cys) to be the most important biophysical–biochemical attributes responsible for protein thermostability. From the propensity analysis of amino acids, polar residues, specifically glutamine (Gln) and serine (Ser), and charged residues, specifically glutamic acid (Glu) and lysine (Lys), are found to favor the enhancement of protein thermostability. The study demonstrates the feasibility of assigning quantifiable descriptors of thermostability which is expected to aid protein engineering. [ABSTRACT FROM AUTHOR]