Mutational effects on structural stability of SRP pathway dependent co-translational protein ftsY of Mycobacterium tuberculosis H37Rv

Energy decomposition and waterswapping analysis to investigate the SNP associated DPD mediated 5-FU resistance

5-fluorouracil is an essential component of systemic chemotherapy for colon, breast, head, and neck cancer patients. However, tumoral overexpression of the dihydropyrimidine dehydrogenase has rendered 5-FU clinically ineffective by inactivating it to 5'-6'-dihydro fluorouracil. The responses to 5-FU in terms of efficacy and toxicity greatly differ depending upon the population group, because of variability in the DPD activity levels. In the current study, key active site amino acids involved in the 5-FU inactivation were investigated by modelling the 3D structure of human DPD in a complex with 5-FU. The identified amino acids were analyzed for their possible missense mutations available in dbSNP database. Out of 12 missense SNPs, four were validated either by sequencing in the 1000 Genomes project or frequency/genotype data. The recorded validated missense SNPs were further considered to analyze the effect of their respective alterations on 5-FU binding. Overall findings suggested that population bearing the Glu611Val DPD mutation (rs762523739) is highly vulnerable to 5-FU resistance. From the docking, electrostatic complementarity, dynamics, and energy decomposition analyses it was found that the above mutation showed superior scores than the wild DPD -5FU complex. Therefore, prescribing prodrug NUC-3373 or DPD inhibitors (Gimeracil/3-Cyano-2,6-Dihydroxypyridines) as adjuvant therapy may overcome the 5-FU resistance.

A multifactorial assessment of the SRP pathway constituent FtsY as a vital mycobacterial constituent

The signal recognition particle (SRP) system plays an imperative role in transporting the secretory protein to its intended location. The SRP pathway running in Mycobacterium tuberculosis constitutes FtsY (signal receptor), FfH (SRP), and 4.5S RNA in which signal receptor acts in the GTP-dependent manner. In this study, we are rendering the essential facts of FtsY with respect to mycobacterial growth. The growth study experiment showed that downexpressed FtsY slowed the growth of Mycobacterium smegmatis mc² 155 from the initial lag phase to stationary phase. Previously, we have showed that GTPase activity of FtsY is metal ion dependent and showed the maximum activity with 10 mM magnesium. The effect of Mg²⁺ and Mn²⁺ on mycobacterial growth showed that Mg²⁺ did not affect the growth, whereas higher concentration of Mn²⁺ decreases the bacterial growth. After searching the inhibitor database, 14 GTPase and ATPase inhibitors, Mac0182344, ML141, ITX3, NAV_2729, Br-GTP, Rhosin_HCl, Mac0182099, CCG_50014, CID_1067700, Mac0174809, Nsc_23766, Berberine, Nexinhib20, and EHT1864, were found to interact with FtsY. Further, ML141 and NAV2729 found to decrease the enzymatic activity of FtsY as well as the mycobacterial growth. Therefore, the conclusive statement of the present study can be stated as that the FtsY plays major role in mycobacterial cell survival and ML141 and NAV2729 can be used to constrain the SRP pathway.

Identification of missense SNP-mediated mutations in the regulatory sites of aldose reductase (ALR2) responsible for treatment failure in diabetic complications

Scientific pieces of evidence indicate that the polymorphism in the ALR2 regulatory gene favors the susceptibility to diabetic complications (DCs). Previous studies have uncovered several single nucleotide polymorphisms (SNPs) in the ALR2 regulatory sites that negatively modulate the activity of this enzyme and eventually increase the risks of DCs. In view of this, the current study aimed at investigating whether the mutation as a resultant of missense SNPs in the regulatory site of ALR2 enzyme can also hamper the interactions of ALR2 inhibitors with the key amino acid residues in the ALR2 binding site. Around 202 SNPs in the ALR2 gene were reported in the dbSNP database. Out of these, eighteen SNPs that are responsible for point mutations in the regulatory sites of ALR2 enzyme were identified and considered for the study. Identified SNPs were then categorized as stabilizing or destabilizing using various in silico tools and webservers. The resulting mutational constructs of ALR2 were further probed for their influence on the binding affinities and binding modes with well-known ALR2 inhibitors using structure-based analyses. This study identified three destabilizing SNPs, i.e., rs779176563 (C298S), rs1392886142 (G16A), and rs1407261115 (A245T), that lead to the compromised response to most of the ALR2 inhibitors which are in clinical trials. On the other hand, treatment with these ALR2 inhibitors may benefit the population which carries missense SNPs rs748119899, rs1402962430, and rs1467939858 that code for W219S, Q183V, and S214A, respectively. Overall findings of the study suggest that one SNP in the inhibitor site and two SNPs in the co-factor site of ALR2 may be responsible for the low efficacy and unsuccessful journey of ALR2 inhibitors in the clinical trials.

Domain-wise differentiation of Mycobacterium tuberculosis H37 Rv hypothetical proteins: A roadmap to discover bacterial survival potentials

Proteomic information revealed approximately 3,923 proteins in Mycobacterium tuberculosis H₃₇ Rv genome of which around ∼25% of proteins are hypothetical proteins (HPs). The present work comprises computational approaches to identify and characterize the HPs of M. tuberculosis that symbolize the putative target for rationale development of a drug or antituberculosis strategy. Proteins were primarily classified based on motif and domain information, which were further analyzed for the presence of virulence factors (VFs), determination of localization, and signal peptide/enzymatic cleavage sites. 863 HPs were found, and 599 HPs were finalized based on motifs, that is, GTP (525), Trx (47), SAM (14), PE-PGRS (5), and CBD (8). 80 HPs contain virulence factor (VF), 24 HPs localized in membrane region, and 4 HPs contain signal peptide/enzymatic cleavage sites. The overall parametric study finalizes four HPs Rv0679c, Rv0906, Rv3627c, and Rv3811 that also comprise GTPase domain. Structure prediction, structure-based function prediction, molecular docking and mutation analysis of selected proteins were done. Docking studies revealed that GTP and GTPase inhibitor (mac0182344) were docked with all four proteins with high affinities. In silico point mutation studies showed that substitution of aspartate with glycine within a GTPase motif showed the largest decrease in stability and pH differentiation also affects protein's stability. This analysis thus fixes a roadmap in the direction of finding potential target of this bacterium for drug development and enlightens the efficacy of GTP as a major regulator of Mycobacterial cellular pathways.

Essential biochemical, biophysical and computational inputs on efficient functioning of Mycobacterium tuberculosis H37Rv FtsY

Mycobacterium tuberculosis (M. tuberculosis H₃₇Rv) utilizes the signal recognition particle pathway (SRP pathway) system for secretion of various proteins from ribosomes to the extracellular surface which plays an important role in the machinery running inside the bacterium. This system comprises of three major components FtsY, FfH and 4.5S rRNA. This manuscript highlights essential factors responsible for the optimized enzymatic activity of FtsY. Kinetic parameters include V_max and K_m for the hydrolysis of GTP by ftsY which were 20.25±5.16 μM/min/mg and 39.95±7.7 μM respectively. k_cat and catalytic efficiency of the reaction were 0.012±0.003 s^-1 and 0.00047±0.0001 μM/s^-1 respectively. These values were affected upon changing the standard conditions. Cations (Mg²⁺ and Mn²⁺) play important role in FtsY enzymatic activity as increasing Mg²⁺ decrease the activity. Mn²⁺on the other hand is required at higher concentration around 60 mM for carrying optimum GTPase activity. FtsY is hydrolyzing ATP and GDP as well and GDP acts as an inhibitor of the reaction. MD simulation shows effective binding and stabilization of the FtsY complexed structure with GTP, GDP and ATP. Mutational analysis was done at two important residues of GTP binding motif of FtsY, namely, GXXXXGK (K236) and DXXG (D367) and showed that these mutations significantly decrease FtsY GTPase activity. FtsY is comprised of α helices, but this structural pattern was shown to change with increasing concentrations of GTP and ATP which symbolize that these ligands cause significant conformational change by variating the secondary structure to transduce signals required by downstream effectors. This binding favors the functional stabilization of FtsY by destabilization of α-helix integrity. Revealing the hidden aspects of the functioning of FtsY might be an essential part for the understanding of the SRP pathway which is one of the important contributors of M. tuberculosis virulence.

Investigating the Role of Missense SNPs on ALDH 1A1 mediated pharmacokinetic resistance to cyclophosphamide

Cyclophosphamide (CP) is a well-known anti-cancer drug, which exerts its therapeutic effect by DNA cross-linking, both within and between DNA strands. Earlier, a single dose of CP was enough for an effective treatment however due to overexpression of ALDH 1A1 in cancer cells and consequent drug inactivation, the quality of treatment suffered a lot. Drug inactivation via Drug Metabolizing Enzyme (DME) like Aldehyde dehydrogenase 1A1 (ALDH 1A1) is one of the resistance mechanism which is least considered and somewhat overlooked. The current study focused on investigating the impact of missense SNPs on ALDH 1A1 mediated pharmacokinetic resistance to CP. To achieve this aim, we selected 14 missense SNPs from the large pool of SNPs database. The stability of the mutants corresponding to selected SNPs was then determined using web-based tools like I-Mutant, CUPSAT, Maestro-web, STRUM, Eris, SDM, DUET, I-Stable. The obtained results from the mentioned web tools were later validated by molecular dynamic simulations. Furthermore, to find out the optimal range in terms of geometrical parameters and binding affinity for a molecule to be a good substrate for ALDH 1A1, some well-reported substrates of ALDH1A1 were pooled from the literature. Subsequently, similar parameters were calculated for each aldophosphamide (Active metabolite of CP) - mutant complexes to determine if these parameters lie within the optimal range. Based on this analyses population which is most or least susceptible to resistance was suggested. Our results demonstrated that the population group corresponding to rs11554423 (Gly125Arg) and rs763363983 (Val460Leu) mutation may be least vulnerable to CP resistance. Whereas, the population corresponding to rs1049981 (Asn121Ser) and rs774967243 (Val295Leu) SNPs may be most vulnerable to CP resistance.