Anand Anbarasu

Flavonoid from Carica papaya inhibits NS2B-NS3 protease and prevents Dengue 2 viral assembly

Dengue virus belongs to the virus family Flaviviridae. Dengue hemorrhagic disease caused by dengue virus is a public health problem worldwide. The viral non structural 2B and 3 (NS2B-NS3) protease complex is crucial for virus replication and hence, it is considered to be a good anti-viral target. Leaf extracts from Carica papaya is generally prescribed for patients with dengue fever, but there are no scientific evidences for its anti-dengue activity; hence we intended to investigate the anti-viral activity of compounds present in the leaves of Carica papaya against dengue 2 virus (DENV-2). We analysed the anti-dengue activities of the extracts from Carica papaya by using bioinformatics tools. Interestingly, we find the flavonoid quercetin with highest binding energy against NS2B-NS3 protease which is evident by the formation of six hydrogen bonds with the amino acid residues at the binding site of the receptor. Our results suggest that the flavonoids from Carica papaya have significant anti-dengue activities. Abbreviations ADME - Absorption, distribution, metabolism and excretion, BBB - Blood brain barrier, CYP - Cytochrome P450, DENV - – Dengue virus, DHF - Dengue hemorrhagic fever, DSS - Dengue shock syndrome, GCMS - – Gas chromatography- Mass spectrometry, MOLCAD - Molecular Computer Aided Design, NS - Non structural, PDB - Protein data bank, PMF - Potential Mean Force.

Detection and Confirmation of Alkaloids in Leaves of Justicia adhatoda and Bioinformatics Approach to Elicit Its Anti-tuberculosis Activity

The extraction and determination of alkaloids was performed and confirmed by phytochemical analysis. Six different quinazoline alkaloids (vasicoline, vasicolinone, vasicinone, vasicine, adhatodine and anisotine) were found in the leaf of Justicia adhatoda (J. adhatoda). The presence of the peaks obtained through HPLC indicated the diverse nature of alkaloid present in the leaf. The enzyme β-ketoacyl-acyl-carrier protein synthase III that catalyses the initial step of fatty acid biosynthesis (FabH) via a type II fatty acid synthase has unique structural features and universal occurrence in Mycobacterium tuberculosis (M. tuberculosis). Thus, it was considered as a target for designing of anti-tuberculosis compounds. Docking simulations were conducted on the above alkaloids derived from J. adhatoda. The combination of docking/scoring provided interesting insights into the binding of different inhibitors and their activity. These results will be useful for designing inhibitors for M. tuberculosis and also will be a good starting point for natural plant-based pharmaceutical chemistry.

fabp4 is central to eight obesity associated genes: A functional gene network-based polymorphic study

Network study on genes and proteins offers functional basics of the complexity of gene and protein, and its interacting partners. The gene fatty acid-binding protein 4 (fabp4) is found to be highly expressed in adipose tissue, and is one of the most abundant proteins in mature adipocytes. Our investigations on functional modules of fabp4 provide useful information on the functional genes interacting with fabp4, their biochemical properties and their regulatory functions. The present study shows that there are eight set of candidate genes: acp1, ext2, insr, lipe, ostf1, sncg, usp15, and vim that are strongly and functionally linked up with fabp4. Gene ontological analysis of network modules of fabp4 provides an explicit idea on the functional aspect of fabp4 and its interacting nodes. The hierarchal mapping on gene ontology indicates gene specific processes and functions as well as their compartmentalization in tissues. The fabp4 along with its interacting genes are involved in lipid metabolic activity and are integrated in multi-cellular processes of tissues and organs. They also have important protein/enzyme binding activity. Our study elucidated disease-associated nsSNP prediction for fabp4 and it is interesting to note that there are four rsID׳s (rs1051231, rs3204631, rs140925685 and rs141169989) with disease allelic variation (T104P, T126P, G27D and G90V respectively). On the whole, our gene network analysis presents a clear insight about the interactions and functions associated with fabp4 gene network.

Molecular dynamics and molecular docking studies on E166A point mutant, R274N/R276N double mutant, and E166A/R274N/R276N triple mutant forms of class A β-lactamases

Bacterial resistance to β-lactams antibiotics is a serious threat to human health. The most common cause of resistance to the β-lactams is the production of β-lactamase that inactivates β-lactams. Specifically, class A extended-spectrum β-lactamase produced by antibiotic resistant bacteria is capable of hydrolyzing extended-spectrum Cephalosporins and Monobactams. Mutations in class A β-lactamases play a crucial role in substrate and inhibitor specificity. In this present study, the E166A point mutant, R274N/R276N double mutant, and E166A/R274N/R276N triple mutant class A β-lactamases are analyzed. Molecular dynamics (MD) simulations are done to understand the consequences of mutations in class A β-lactamases. Root mean square deviation, root mean square fluctuation, radius of gyration, solvent accessibility surface area, hydrogen bond, and essential dynamics analysis results indicate notable loss in stability for mutant class A β-lactamases. MD simulations of native and mutant structures clearly confirm that the substitution of alanine at the position of 166, Asparagine at 274 and 276 causes more flexibility in 3D space. Molecular docking results indicate the mutation in class A β-lactamases which decrease the binding affinity of Cefpirome and Ceftobiprole which are third and fifth generation Cephalosporins, respectively. MD simulation of Ceftobiprole-native and mutant type Class A β-lactamases complexes reveal that E166A/R274N/R276N mutations alter the structure and notable loss in the stability for Ceftobirole-mutant type Class A β-lactamases complexes. Ceftobiprole is currently prescribed for patients with serious bacterial infections; this phenomenon is the probable cause for the effectiveness of Ceftobiprole in controlling bacterial infections.

In silico analysis reveals the anti-malarial potential of quinolinyl chalcone derivatives

In this study, the correlation between chemical structures and various parameters such as steric effects and electrostatic interactions to the inhibitory activities of quinolinyl chalcone derivatives is derived to identify the key structural elements required in the rational design of potent and novel anti-malarial compounds. The molecular docking simulations and Comparative Molecular Field Analysis (CoMFA) are carried out on 38 chalcones derivatives using Plasmodium falciparum lactate dehydrogenase (PfLDH) as potential target. Surflex-dock is used to determine the probable binding conformations of all the compounds at the active site of pfLDH and to identify the hydrogen bonding interactions which could be used to alter the inhibitory activities. The CoMFA model has provided statistically significant results with the cross-validated correlation coefficient (q2) of .850 and the non-cross-validated correlation coefficient (r2) of .912. Standard error of estimation (SEE) is .280 and the optimum number of component is five. The predictive ability of the resultant model is evaluated using a test set comprising of 13 molecules and the predicted r2 value is .885. The results provide valuable insight for optimization of quinolinyl chalcone derivatives for better anti-malarial therapy.

Computational gene network study on antibiotic resistance genes of Acinetobacter baumannii

Multi Drug Resistance (MDR) in Acinetobacter baumannii is one of the major threats for emerging nosocomial infections in hospital environment. Multidrug-resistance in A. baumannii may be due to the implementation of multi-combination resistance mechanisms such as β-lactamase synthesis, Penicillin-Binding Proteins (PBPs) changes, alteration in porin proteins and in efflux pumps against various existing classes of antibiotics. Multiple antibiotic resistance genes are involved in MDR. These resistance genes are transferred through plasmids, which are responsible for the dissemination of antibiotic resistance among Acinetobacter spp. In addition, these resistance genes may also have a tendency to interact with each other or with their gene products. Therefore, it becomes necessary to understand the impact of these interactions in antibiotic resistance mechanism. Hence, our study focuses on protein and gene network analysis on various resistance genes, to elucidate the role of the interacting proteins and to study their functional contribution towards antibiotic resistance. From the search tool for the retrieval of interacting gene/protein (STRING), a total of 168 functional partners for 15 resistance genes were extracted based on the confidence scoring system. The network study was then followed up with functional clustering of associated partners using molecular complex detection (MCODE). Later, we selected eight efficient clusters based on score. Interestingly, the associated protein we identified from the network possessed greater functional similarity with known resistance genes. This network-based approach on resistance genes of A. baumannii could help in identifying new genes/proteins and provide clues on their association in antibiotic resistance.

A Molecular Docking and Dynamics Study to Screen Potent Anti-Staphylococcal Compounds Against Ceftaroline Resistant MRSA†

World Health Organization reports that methicillin‐resistant Staphylococcus aureus (MRSA) is the origin of higher proportion of hospital acquired infections. In order to combat the effect of MRSA infection, an ideal drug should stimulate the allosteric exposure of active site, prompting penicillin binding proteins (PBP2a) to bind with that particular compound. Ceftaroline shows high binding affinity towards PBP2a and also confers resistance against degrading enzymes. Recently, two amino acid alterations in the allosteric site of PBP2a, asparagine (N) to lysine (K) at position 146 and glutamic acid (E) to lysine at position 150 are reported to confer resistance against ceftaroline resulting in the rise of ceftaroline‐resistant MRSA strains. The present study focuses on the identification of potential ligands that can effectively bind with allosteric site of PBP2a, that leads to the access of active site and entry of a β‐lactam antibiotic for effective inhibition. The results obtained from our study will be useful for designing effective compounds with potential therapeutic effects against ceftaroline resistant MRSA strains. J. Cell. Biochem. 117: 542–548, 2016.

Investigations on unconventional hydrogen bonds in RNA binding proteins: The role of CH ··· O C interactions

We have investigated the roles played by C-H...O=C interactions in RNA binding proteins. There was an average of 78 CH...O=C interactions per protein and also there was an average of one significant CH...O=C interactions for every 6 residues in the 59 RNA binding proteins studied. Main chain-Main chain (MM) CH...O=C interactions are the predominant type of interactions in RNA binding proteins. The donor atom contribution to CH...O=C interactions was mainly from aliphatic residues. The acceptor atom contribution for MM CH...O=C interactions was mainly from Val, Phe, Leu, Ile, Arg and Ala. The secondary structure preference analysis of CH...O=C interacting residues showed that, Arg, Gln, Glu and Tyr preferred to be in helix, while Ala, Asp, Cys, Gly, Ile, Leu, Lys, Met, Phe, Trp and Val preferred to be in strand conformation. Most of the CH...O=C interacting polar amino acid residues were solvent exposed while, majority of the CH...O=C interacting non polar residues were excluded from the solvent. Long and medium-range CH...O=C interactions are the predominant type of interactions in RNA binding proteins. More than 50% of CH...O=C interacting residues had a higher conservation score. Significant percentage of CH...O=C interacting residues had one or more stabilization centers. Sixty-six percent of the theoretically predicted stabilizing residues were also involved in CH...O=C interactions and hence these residues may also contribute additional stability to RNA binding proteins.

Genomic profiling is predictive of response to cisplatin treatment but not to PI3K inhibition in bladder cancer patient-derived xenografts

Purpose Effective systemic therapeutic options are limited for bladder cancer. In this preclinical study we tested whether bladder cancer gene alterations may be predictive of treatment response. Experimental design We performed genomic profiling of two bladder cancer patient derived tumor xenografts (PDX). We optimized the exome sequence analysis method to overcome the mouse genome interference. Results We identified a number of somatic mutations, mostly shared by the primary tumors and PDX. In particular, BLCAb001, which is less responsive to cisplatin than BLCAb002, carried non-sense mutations in several genes associated with cisplatin resistance, including MLH1, BRCA2, and CASP8. Furthermore, RNA-Seq analysis revealed the overexpression of cisplatin resistance associated genes such as SLC7A11, TLE4, and IL1A in BLCAb001. Two different PIK3CA mutations, E542K and E545K, were identified in BLCAb001 and BLCAb002, respectively. Thus, we tested whether the genomic profiling was predictive of response to a dual PI3K/mTOR targeting agent, LY3023414. Despite harboring similar PIK3CA mutations, BLCAb001 and BLCAb002 exhibited differential response, both in vitro and in vivo. Sustained target modulation was observed in the sensitive model BLCAb002 but not in BLCAb001, as well as decreased autophagy. Interestingly, computational modelling of mutant structures and affinity binding to PI3K revealed that E542K mutation was associated with weaker drug binding than E545K. Conclusions Our results suggest that the presence of activating PIK3CA mutations may not necessarily predict in vivo treatment response to PI3K targeted therapies, while specific gene alterations may be predictive for cisplatin response in bladder cancer models and, potentially, in patients as well.

π-π Interactions in structural stability: role in RNA binding proteins.

RNA binding proteins play significant roles in many bio-macromolecular systems. Aromatic amino acid residues are vital for several biological functions. In the present work, the influences of π–π interactions in RNA binding proteins are analyzed. There are a total of 3,396 π-residues in RNA binding proteins out of which 1,547, 1,241, and 608 are phenylalanine (Phe), tyrosine (Tyr), and tryptophan (Trp), respectively. Among these 945, 634, and 356 Phe, Tyr, and Trp residues, respectively, are involved in π–π interactions. The observations indicate that majority of the aromatic residues in RNA binding proteins are involved in π–π interactions. Side chain–side chain π–π interactions are the predominant type of interactions in RNA binding proteins. These π–π interactions stabilize the core regions within RNA binding proteins. π–π interacting residues are evolutionary conserved. Residue-wise analysis indicates that π–π interacting residues have higher long-range contacts and hence they are important in the global conformational stability of these proteins.