Development of a read-across-derived classification model for the predictions of mutagenicity data and its comparison with traditional QSAR models and expert systems.

Mutagenicity is considered an important endpoint from the regulatory, environmental and medical points of view. Due to the wide number of compounds that may be of concern and the enormous expenses (in terms of time, money, and animals) associated with rodent mutagenicity bioassays, this endpoint is a major target for the development of alternative approaches for screening and prediction. The majority of old-aged expert systems and quantitative structure-activity relationship (QSAR) models may show reduced performance over time for their application on newer chemical candidates; thus, researchers constantly try to improve the modeling strategies. In our report, we initially performed traditional classification-based linear discriminant analysis (LDA) QSAR modeling using the benchmark Ames dataset of diverse chemicals (6512 compounds) to recognize the relationship between the molecules and their potential mutagenic behavior. The classical LDA QSAR model is developed from a selected set of 2D descriptors. The LDA QSAR model was developed by using a total of 31 descriptors identified from the analysis of the most discriminating features. Additionally, we have used similarity-derived features obtained from the read-across (RA) to develop an RA-based QSAR model. The developed RA-based LDA QSAR model has better predictivity, transferability, and interpretability compared to the LDA QSAR model, and it uses a very small number of descriptors compared to the classical QSAR model. Different machine learning (ML) models were also developed using the descriptors appearing in the read-across-based LDA QSAR model for comparative studies. We have checked the prediction quality of 216 true external set compounds using the novel similarity-derived RA model. The performance of the OECD toolbox is also compared with the RA-derived LDA QSAR model for a true external set. The current study aimed to explore the significance of the read-across-based algorithm and its application to the most current experimental mutagenicity data to complement already available expert systems.

Sandwich osteotomy with interpositional grafts for vertical augmentation of the mandible: A meta-analysis.

Sandwich osteotomy is a technique for vertical augmentation based on the principle of a graft being placed between two pedicled native bones. The inherent vascularization helps in graft consolidation. The aim is to review the bone height gained, implant survival and pitfalls with sandwich osteotomy. The PICO model was used to identify the suitable studies for the review. Oxford level of evidence, Newcastle Ottawa Scale and Cochrane's tool for Systematic Reviews of Interventions was applied for identifying study quality. Meta-analysis was performed with the help of RevMan. Funnel plot was used to evaluate publication bias and bias during article selection. Difference in means was used as principal summary measure. Fixed effects model with inverse variance statistics was used. I2test statistics was applied to identify study heterogeneity. Forest plots were produced for the outcome variables with 95% confidence interval (CI) and overall treatment effects and subgroup effects at a significance level of 0.05. The overall implant survival rate ranged from 90%-100% and prosthetic survival rate from 87%-95%. An overall 6-10mm of bone can be gained in the anterior mandible and 4-8mm in the posterior mandible. A total of 1030 implants were placed of which 988 implants survived after the mean follow up periods (odds ratio: 0.77, 95% CI: 0.49-1.21). Implant survival is independent of the graft being used. Vertical augmentation in the posterior mandible is limited compared to anterior owing to the presence of inferior alveolar nerve and the keratinized tissue deficiency.

QSPR modeling of octanol-water partition coefficient and organic carbon normalized sorption coefficient of diverse organic chemicals using Extended Topochemical Atom (ETA) indices.

Octanol-water partition coefficient (logKow) and soil organic carbon content normalized sorption coefficient (logKoc) values are two important physicochemical properties in the context of bioaccumulation and environmental fate of organic compounds and their environmental risk assessment. Simple, interpretable and easy-to-derive extended topochemical atom (ETA) indices obtained from 2D structural representation of compounds were used for quantitative structure-property relationship (QSPR) modeling of these two endpoints. Linear regression based models developed using only ETA indices show encouraging statistical and validation results. Based on the information obtained from developed QSPR models, we may conclude that molecular volume, branching pattern, presence of hydrophobic Cl atoms, cyclicity/fusion, polar environment, electron density, unsaturation content, hydrogen bonding propensity or hydrogen bond donor atoms, local topology, presence of heteroatoms and aromaticity are crucial factors in controlling the logKow and logKoc values of the compounds. The suggested explanatory features for different classes of chemicals or the whole diverse set can help in safer designing of chemicals, which is one of the primary agenda of the "Green Chemistry" program.

Exploring QSAR models for assessment of acute fish toxicity of environmental transformation products of pesticides (ETPPs).

Environmental transformation products of pesticides (ETPPs) have a great deal of ecological impact owing to their ability to cause toxicity to the aquatic organisms, which can then be translated to the humans. The limited experimental data on biochemical and toxic effects of ETPPs, the high test costs together with regulatory limitations and the international push to reduce animal testing encourage greater dependence on predictive in silico techniques like quantitative structure-activity relationship (QSAR) models. The aim of the present work was to explore the key structural features, which regulate the toxicity towards fishes, for 85 ETPPs using a partial least squares (PLS) regression based chemometric model developed according to Organisation for Economic Co-operation and Development (OECD) guidelines. The model was extensively validated using both internal and external validation metrics, and the results so obtained justify the reliability and usefulness of the developed model (Q2 = 0.648, R2pred or Q2F1 = 0.734 and Q2F2 = 0.733). From the developed model, we can conclude that lipophilicity, polarity, presence of branching and the functional form of O-atom in the transformed structures of pesticides are the important features that are to be considered during ecotoxicity assessment of ETPPs. The information obtained from the descriptors of the developed model could be utilized in the future for assessing ETPPs with the benefit of providing an early warning of their potentially detrimental effect on fishes for regulatory purposes.

An in silico analysis of deleterious single nucleotide polymorphisms and molecular dynamics simulation of disease linked mutations in genes responsible for neurodegenerative disorder.

Mutation in two genes deglycase gene (DJ-1) and retromer complex component gene (VPS35) are linked with neurodegenerative disorder such as Parkinson's disease, Huntington's disease, and Alzheimer's disease. DJ-1 gene located at 1p36 chromosomal position and involved in PD pathogenesis through many pathways including mitochondrial dysfunction and oxidative injury. VPS35 gene located at 16q13-q21 chromosomal position and the two pathways, the Wnt signaling pathway, and retromer-mediated DMT1 missorting are proposed for basis of VPS35 related PD. The study focuses on identifying most deleterious SNPs through computational analysis. Result obtained from various bioinformatics tools shows that D149A is most deleterious in DJ-1 and A54W, R365H, and V717M are most deleterious in VPS35. To understand the functionality of protein comparative modeling of DJ-1 and VPS35 native and mutants was done by MODELLER. The generated structures are validated by two web servers-ProSa and RAMPAGE. Molecular dynamic simulation (MDS) analysis done for the most validated structures to know the functional and structural nature of native and mutants protein of DJ-1 and VPS35. Native structure of DJ-1 and VPS35 show more flexibility through MDS analysis. DJ-1 D149A mutant structures become more compact which shows the structural perturbation and loss of DJ-1 protein function which in turn are probable cause for PD. A54W, R365H, and V717M mutant protein of VPS35 also shows compactness which cause structure perturbation and absence of retromer function which likely to be linked to PD pathogenesis. This in silico study may provide a new insight for fundamental molecular mechanism involved in Parkinson's disease. Communicated by Ramaswamy H. Sarma.

ATP synthase, an essential enzyme in growth and multiplication is modulated by protein tyrosine phosphatase in Mycobacterium tuberculosis H37Ra.

Mycobacterium tuberculosis (Mtb) protein tyrosine phosphatase (PtpA) has so far been known to control intracellular survival of mycobacteria; whereas the ATP synthase which is essential for mycobacterial growth has recently been contemplated in developing a breakthrough anti-TB drug, diarylquinoline. Since both of these enzymes have been established as validated drug targets; we report a robust and functional relationship between these two enzymes through a series of experiments using Mtb H37Ra. In the present study we report that the mycobacterial ATP synthase alpha subunit is regulated by PtpA. We generated gene knock-out for the enzyme PtpA and subjected to determine the mycobacterial replication and the proteome profile of wild type, mutant (ΔptpA) and complemented (ΔptpA:ptpA) strains of Mtb H37Ra. A substantial amount of decrease in the protein level of ATP synthase alpha subunit (AtpA) in case of mutant H37Ra was observed, while the levels of the enzyme were either increased or remained unchanged, in wild type and in the complemented strains.

Mycobacterial protein tyrosine kinase, PtkA phosphorylates PtpA at tyrosine residues and the mechanism is stalled by the novel series of inhibitors.

Phosphorylation and dephosphorylation are the key mechanisms for mycobacterial physiology and play critical roles in mycobacterial survival and in its pathogenesis. Mycobacteria evade host immune mechanism by inhibiting phagosome - lysosome fusion in which mycobacterial protein tyrosine phosphatase A (PtpA;TP) plays an indispensable role. Tyrosine kinase (PtkA;TK) activated by autophosphorylation; phosphorylates TP, which subsequently leads to increase in its phosphatase activity. The phosphorylated TP is secreted in phagosome of macrophage. In the present study, we have shown that the phosphorylation at two sites of TP; Y128 and Y129 are critical for TK-mediated phosphatase activity. The disruption of this interaction between TK and TP inhibits activation of later which further leads to the decrease in intracellular survival of mycobacteria. Furthermore, the proof of concept has been established using benzylbenzofurans and benzofuranamides, which inhibit the growth and intracellular survival of mycobacteria, associate with the functional sites of TP and contend with the TK. This binding was further restated by looking at the anchorage of protein-protein and the protein-inhibitor complexes in the homology-based structure models and by surface plasmon resonance analysis.

Protein kinase C-δ inhibitor, Rottlerin inhibits growth and survival of mycobacteria exclusively through Shikimate kinase.

The molecular bases of disease provide exceptional prospect to translate research findings into new drugs. Nevertheless, to develop new and novel chemical entities takes huge amount of time and efforts, mainly due to the stringent processes. Therefore, drug repurposing is one of such strategies which is being used in recent times to identify new pharmacophores. The essential first step in discovery of the specific inhibitor with low toxicity is the identification and elucidation of pathways exclusive to target pathogen. One such target is the shikimate pathway, which is essential for algae, higher plants, bacteria and fungi. Since, this enzyme system is absent in higher eukaryotes and in mammals, the enzymes involved in the pathway provide an attractive target for the development of potentially selective and non toxic antimicrobial agents. Since, so far there is no specific inhibitor which is able to restrain mycobacterial shikimate pathway; we expanded the use of a known kinase inhibitor; Rottlerin, in order to predict the prototype in discovering the specific molecules against this enzyme. For the first time we have shown that Rottlerin inhibits extracellular mycobacteria by affecting Shikimate Kinase (SK) and this effect is further enhanced during the intracellular infection due to the added effect of PKC- δ down-regulation. The molecular docking of Rottlerin with both the mycobacterial SKs, corroborated the inhibition data, and revealed that the effects of SK, in slow and in fast grower mycobacteria are due to the changes in affinity of binding with the drug.

Biochemical and functional characterizations of tyrosine phosphatases from pathogenic and nonpathogenic mycobacteria: indication of phenyl cyclopropyl methyl-/phenyl butenyl azoles as tyrosine phosphatase inhibitors.

Tyrosine phosphorylation is one of the most common means of posttranslational modifications which can generate novel recognition motifs for protein interactions and thereafter affecting cellular localization, protein stability, and enzyme activity. Mycobacterium tuberculosis (Mtb) possesses a wide range of signal transduction systems, including two protein tyrosine phosphatases (PtpA and PtpB). Since functional diversities between protein tyrosine phosphatases (PTPases) are illustrated by regulatory domains and subunits, we have characterized the nature of tyrosine phosphatases from slow-grower pathogenic species Mtb and from fast-grower nonpathogenic species Mycobacterium smegmatis (MS). The findings delineate that the enzymes present in MS have significantly lesser phosphatase activity than PTPases of Mtb as evidenced by low K cat/K m of recombinantly expressed proteins. The K cat/K m for Mtb PtpA was 500-1000-fold higher than MS PTPases. We have designed and synthesized phenyl cyclopropyl methyl-/phenyl butenyl azoles which inhibit growth of mycobacteria, in culture and in macrophages. The mechanism of efficacy of these compounds against mycobacteria was identified and suggested that the inhibition may possibly be mediated via the targeting of Mtb tyrosine phosphatase. The results further added that these compounds exclusively inhibit PtpA of Mtb.