Search

Microbial Ferulic Acid Decarboxylase (FADase) catalyses the conversion of ferulic acid to 4-hydroxy-3-methoxystyrene (4-vinylguaiacol) via non-oxidative decarboxylation. In this article, we present a computational, three-dimensional structural and functional analysis of FADase from Enterobacter sp. P × 6-4 (3NX1) which can be used to generate enhanced bindings of substrates. The enzymatic catalytic site and binding sites have been critically evaluated. Sequential site directed mutations on enzyme have also been introduced for formation of a greater number of hydrogen bonds. Four mutants were generated based on our hypothesis. Active sites of mutated FADases have been analyzed with dynamic cross-correlation maps and principle components analysis. All structures were validated and optimized through energy minimization. Docking studies were also carried out between ferulic acid and different mutated enzymes. The protein (wild and mutants) complexes were further validated with molecular simulation. Mutant3 was found to have better affinity towards ferulic acid. Mutant3 also forms a higher number of hydrogen bonds with the substrate to facilitate greater interaction. This current work will help industry to create new and novel mutants to produce vanillin.

Graphical abstract, Zoonotic Novel coronavirus disease 2019 (COVID-19) is highly pathogenic and transmissible considered as emerging pandemic disease. The virus belongs from a large virus Coronaviridae family affect respiratory tract of animal and human likely originated from bat and homology to SARA-CoV and MERS-CoV. The virus consists of single-stranded positive genomic RNA coated by nucleocapsid protein. The rate of mutation in any virulence gene may influence the phenomenon of host radiation. We have studied the molecular evolution of selected virulence genes (HA, N, RdRP and S) of novel COVID-19. We used a site-specific comparison of synonymous (silent) and non-synonymous (amino acid altering) nucleotide substitutions. Maximum Likelihood genealogies based on differential gamma distribution rates were used for the analysis of null and alternate hypothesis. The null hypothesis was found more suitable for the analysis using Likelihood Ratio Test (LRT) method, confirming higher rate of substitution. The analysis revealed that RdRP gene had the fastest rate evolution followed by HA gene. We have also reported the new motifs for different virulence genes, which are further useful to design new detection and diagnosis kit for COVID -19.

Nitrilases, member of nitrilase superfamily catalyse the hydrolysis of different nitriles to corresponding amides and acids. In this article, we demonstrate two-fold computational comparative analysis on coding gene sequences, amino acid sequences, three-dimensional structure of the nitrilases from different species and discovered conserved motifs linked with related species. A large ensemble-based dataset was utilized from bacteria, fungi, plants and animals. Here, we used comparative genomics, motif analyses and Bayesian phylogenetic analyses in combination with structural analyses [molecular dynamics simulation, principal component analysis (PCA), dynamic cross correlation (DCCM), root mean squared inner product (RMSIP), free energy surface (FES)] to investigate the evolution, ecological relationship and structure-function association of nitrilase family. The inferred evolutionary tree displayed nitrilase gene clusters to be shared among bacteria, fungi and plants. Structural analysis revealed that the folding of catalytic sites is similar among species; however, the loop region varies. We provide evidence based on PCA that the nitrilases are clustered into different clades due to variation in side chains. Numerous of significant correlations were found between sequence clades and the structural discriminating properties of nitrilases originating from different species. The results are consistent with the hypothesis that bacterial nitrilases are in ecological and evolutionary relationships with fungi and plants during plant-pathogen interaction to large extent. This compact and detail results also open new dimensions for further studying and improvement of industrially important nitrilase enzymes.

Nicotinamidase is a key enzyme for the salvage pathway catalyzing the first step for the conversion of nicotinamide (NAm) to nicotinic acid (NA) required for the synthesis of Nicotinamide Adenine Dinucleotide (NAD+) in the subsequent steps. Leishmania protozoan parasites are NAD+ auxotrophs and need precursors (nicotinamide, nicotinic acid, nicotinamide riboside) from their host environment to synthesize NAD+ for their survival. Interestingly, absence of this enzyme in higher eukaryotes and its absolute requirement in the developmental cycle of Leishmania has led nicotinamidase an attractive drug target towards leishmaniasis. Hence, we report some potential inhibitors for nicotinamidase screened based on 3-D pharmacophore model consisting of "ML", "Hyd|Aro", "Acc" and "Excl vol" features. Subsequently, dynamics simulation studies validate the proposed pharmacophore model suggesting its reliability for future studies. Furthermore, these essential site-specific features will help in enhancing the inhibition of nicotinamidase activity. Results of our study suggest that blocking of active site of nicotinamidase by the identified lead inhibitor will have major impact on the infectious processes and the survival of the parasite. Furthermore, due to the structural homology in the enzyme among L. donovani, L. infantum, L. major, we anticipate that our study would help to design more potent drug candidates against leshmaniasis for these three species.