An analysis of horseradish peroxidase enzyme for effluent treatment.

The present study explains computational methods to design thermostable horseradish peroxidase enzyme using the crystal structure available from Protein Data Bank (PDB ID: 6ATJ). Multiple mutations were introduced to the original enzyme and developed a model by using Modeler9.14. After designing the model functional effect was confirmed in terms of protein ligand binding by molecular docking using Autodock 4.2. The implementation of modeling steps is demonstrated in the context of performing mutations for particular amino acid residue on the ligand pocket of the horseradish peroxidase, to derive the desired ligand binding properties. The docking investigation of modelled HRP with Quercetindihydroxide using Autodock 4.2 software that six amino acid residues, P139, H42, A31, L174, A38, and G169 are involved in hydrogen bonding. More importantly, it provides insight into understanding and properly interpreting the data produced by these methods. The 3D model was docked with Quercetindihydroxide (a known horseradish modulator) to understand molecular interactions at the active site region.

Exploration of deleterious single nucleotide polymorphisms in late-onset Alzheimer disease susceptibility genes.

Non-synonymous single nucleotide polymorphisms (nsSNPs) are considered as biomarkers to disease susceptibility. In the present study, nsSNPs in CLU, PICALM and BIN1 genes were screened for their functional impact on concerned proteins and their plausible role in Alzheimer disease (AD) susceptibility. Initially, SNPs were retrieved from dbSNP database, followed by identification of potentially deleterious nsSNPs and prediction of their effect on proteins by PolyPhen and SIFT. Protein stability and the probability of mutation occurrence were predicted using I-Mutant and PANTHER respectively. SNPs3D and FASTSNP were used for the functional analysis of nsSNPs. The functional impact on the 3D structure of proteins was evaluated by SWISSPDB viewer and NOMAD-Ref server. On analysis, 3 nsSNPs with IDs rs12800974 (T158P) of PICALM and rs11554585 (R397C) and rs11554585 (N106D) of BIN1 were predicted to be functionally significant with higher scores of I-Mutant, SIFT, PolyPhen, PANTHER, FASTSNP and SNPs3D. The mutant models of these nsSNPs also showed very high energies and RMSD values compared to their native structures. Current study proposes that the three nsSNPs identified in this study constitute a unique resource of potential genetic factors for AD susceptibility.