Chakresh Kumar Jain

High GC content: critical parameter for predicting stress regulated miRNAs in Arabidopsis thaliana.

Plants like Arabidopsis thaliana are convenient model systems to study fundamental questions related to regulation of the stress transcriptome in response to stress challenges. Microarray results of the Arabidopsis transcriptome indicate that several genes could be upregulated during multiple stresses. High-salinity, drought, and low temperature are three common environmental stress factors that seriously influence plant growth and development worldwide. Recently, microRNAs (miRNAs) have emerged as a class of gene expression regulators that have also been linked to stress responses. However, the relationship between miRNA expression and stress responses is just beginning to be explored. Here we have computationally analyzed 123 non redundant miRNA sequences reported for Arabidopsis thaliana, including 17 miRNA sequences which were reported to be stress regulated in literature. A significant increase in the GC content of stress regulated miRNA sequences was observed which further extends the view that miRNAs act as ubiquitous regulators under stress conditions. GC content may also be considered as a critical parameter for predicting stress regulated miRNAs in plants like Arabidopsis thaliana.

The Wnt Pathway: Emerging Anticancer Strategies

The canonical Wnt cascade has emerged as a critical regulator of cancer cells. Activation of the Wnt signaling pathway has also been associated with stem cell, thus raising the possibility of its role in embryogenesis and in the proliferation of malignant cancer cells. Wnt pathway has been reported to be involved in normal physiological processes in adult animals and integrally associated with cancer cell growth and maintenance, thus has been harnessed to devise strategies for anticancer therapy. The presence or absence of some members in this pathway, such as β-catenin, Axin or APC, has been found to involve in different types of tumors in human beings. Dysregulation of the canonical Wnt/β-catenin signaling pathway, mostly by inactivating mutations of the APC tumor suppressor, or oncogenic mutations of β-catenin, has been implicated in colorectal tumorigenesis. Further, elevated levels of β-catenin protein, a hallmark of activated canonical Wnt pathway, have been significantly observed in common forms of human malignancies, indicating that activation of the Wnt pathway may play an important role in tumor development and hence could be a crucial consideration for drug development. The paper discusses the potential therapeutic and diagnostic strategies directing on Wnt pathways on the basis of recent patents and their analysis.

SVM classifier based feature selection using GA, ACO and PSO for siRNA design

Recently there has been considerable interest in applying evolutionary and natural computing techniques for analyzing large datasets with large number of features. In particular, efficacy prediction of siRNA has attracted a lot of researchers, because of large number of features involved. In the present work, we have applied the SVM based classifier along with PSO, ACO and GA on Huesken dataset of siRNA features as well as on two other wine and wdbc breast cancer gene benchmark dataset and achieved considerably high accuracy and the results have been presented. We have also highlighted the necessary data size for better accuracy in SVM for selected kernel. Both groups of features (sequential and thermodynamic) are important in the efficacy prediction of siRNA. The results of our study have been compared with other results available in the literature.

Elucidating the Interacting Domains of Chandipura Virus Nucleocapsid Protein

The nucleocapsid (N) protein of Chandipura virus (CHPV) plays a crucial role in viral life cycle, besides being an important structural component of the virion through proper organization of its interactions with other viral proteins. In a recent study, the authors had mapped the associations among CHPV proteins and shown that N protein interacts with four of the viral proteins: N, phosphoprotein (P), matrix protein (M), and glycoprotein (G). The present study aimed to distinguish the regions of CHPV N protein responsible for its interactions with other viral proteins. In this direction, we have generated the structure of CHPV N protein by homology modeling using SWISS-MODEL workspace and Accelrys Discovery Studio client 2.55 and mapped the domains of N protein using PiSQRD. The interactions of N protein fragments with other proteins were determined by ZDOCK rigid-body docking method and validated by yeast two-hybrid and ELISA. The study revealed a unique binding site, comprising of amino acids 1–30 at the N terminus of the nucleocapsid protein (N1) that is instrumental in its interactions with N, P, M, and G proteins. It was also observed that N2 associates with N and G proteins while N3 interacts with N, P, and M proteins.

Molecular docking of glucosamine-6-phosphate synthase in Rhizopus oryzae

Recent expansion of immunocompromised population has led to significant rise in zygomycosis caused by filamentous fungus Rhizopus oryzae. Due to emergence of fungal resistance and side-effects of antifungal drugs, there is increased demand for novel drug targets. The current study elucidates molecular interactions of peptide drugs with G-6-P synthase (catalyzing the rate-limiting step of fungal cell wall biosynthetic pathway) of R.oryzae by molecular docking studies. The PDB structures of enzyme in R.oryzae are not known which were predicted using I-TASSER server and validated with PROCHECK. Peptide inhibitors, FMDP and ADGP previously used against enzyme of E.coli (PDBid: 1XFF), were used for docking studies of enzyme in R.oryzae by SchrödingerMaestro v9.1. To investigate binding between enzyme and inhibitors, Glide and Induced Fit docking were performed. IFD results of 1XFF with FMDP yielded C1, R73, W74, T76, G99 and D123 as the binding sites. C379 and Q427 appear to be vital for binding of R.oryzae enzymes to inhibitors. The comparison results of IFD scores of enzyme in R.oryzae and E.coli (PDBid: 2BPL) yield appreciable score, hinting at the probable effectiveness of inhibitors FMDP and ADGP against R.oryzae, with ADGP showing an improved enzyme affinity. Moreover, the two copies of gene G-6-P synthase due to extensive fungal gene duplication, in R. oryzae eliminating the problem of drug ineffectiveness could act as a potential antifungal drug target in R. oryzae with the application of peptide ligands.

An automated annotation tool for genomic DNA sequences using GeneScan and BLAST

Genomic sequence data are often available well before the annotated sequence is published. We present a method for analysis of genomic DNA to identify coding sequences using the GeneScan algorithm and characterize these resultant sequences by BLAST. The routines are used to develop a system for automated annotation of genome DNA sequences.

Protein-protein interaction and molecular dynamics analysis for identification of novel inhibitors in Burkholderia cepacia GG4

The lack of complete treatments and appearance of multiple drug-resistance strains of Burkholderia cepacia complex (Bcc) are causing an increased risk of lung infections in cystic fibrosis patients. Bcc infection is a big risk to human health and demands an urgent need to identify new therapeutics against these bacteria. Network biology has emerged as one of the prospective hope in identifying novel drug targets and hits. We have applied protein-protein interaction methodology to identify new drug-target candidates (orthologs) in Burkhloderia cepacia GG4, which is an important strain for studying the quorum-sensing phenomena. An evolutionary based ortholog mapping approach has been applied for generating the large scale protein-protein interactions in B. Cepacia. As a case study, one of the identified drug targets; GEM_3202, a NH (3)-dependent NAD synthetase protein has been studied and the potential ligand molecules were screened using the ZINC database. The three dimensional structure (NH (3)-dependent NAD synthetase protein) has been predicted from MODELLERv9.11 tool using multiple PDB templates such as 3DPI, 2PZ8 and 1NSY with sequence identity of 76%, 50% and 50% respectively. The structure has been validated with Ramachandaran plot having 100% residues of NadE in allowed region and overall quality factor of 81.75 using ERRAT tool. High throughput screening and Vina resulted in two potential hits against NadE such as ZINC83103551 and ZINC38008121. These molecules showed lowest binding energy of -5.7kcalmol-1 and high stability in the binding pockets during molecular dynamics simulation analysis. The similar approach for target identification could be applied for clinical strains of other pathogenic microbes.

Current Status of Anti-Tuberculosis Therapy: A Patent Analysis

Affecting more than one third of the world population, tuberculosis remains one of the worlds most dreadful diseases, with no easy cures. Mycobacterial infestation and the evasion of host immune response are significantly responsible for the emergence of pulmonary tuberculosis. Mycobacterium tuberculosis, a weak gram positive, facultative aerobe colonizes in respiratory regions rich in oxygen reserves. Up regulation of CR and MR expression and function due to signaling by LAM results in electing immuno regulatory cytokines IL-4, IL-8 and Th2. Binding of NF-κB complex with mRNA prevention, due to mutation of leucine zipper domain of IK, inhibits the activation of cytokines and receptor molecules. Mechanism of energy generation by conversion of ADP to ATP, initiated by utilizing intermediary and/or end products of carbohydrate, amino acid or fatty acid catabolism is essential in approximating potential drug targets for elimination of the bacterium. A few improved diagnostic techniques have been evaluated over the last few years like Interferon Gamma Relese Assays, Nucleic Acid Amplification tests etc. of which most have certainly proven to facilitate specific detection of TB. Drugs like Rifampicin, Isoniazid etc. have also shown great curing effects on TB patients. Further research is required for better understanding of mechanism of pathogenesis and multiple drug resistance issues for developing the effective therapeutics and diagnostics against TB. The paper focuses on the effective diagnostics and therapeutics applications for tuberculosis prevention and cure based on recent patents and their analysis.

Homology modeling and protein engineering of alkane monooxygenase in Burkholderia thailandensis MSMB121: in silico insights

AbstractThe degradation of hydrocarbons plays an important role in the eco-balancing of petroleum products, pesticides and other toxic products in the environment. The degradation of hydrocarbons by microbes such as Geobacillus thermodenitrificans, Burkhulderia, Gordonia sp. and Acinetobacter sp. has been studied intensively in the literature. The present study focused on the in silico protein engineering of alkane monooxygenase (ladA)—a protein involved in the alkane degradation pathway. We demonstrated the improvement in substrate binding energy with engineered ladA in Burkholderia thailandensis MSMB121. We identified an ortholog of ladA monooxygenase found in B. thailandensis MSMB121, and showed it to be an enzyme involved in an alkane degradation pathway studied extensively in Geobacillus thermodenitrificans. Homology modeling of the three-dimensional structure of ladA was performed with a crystal structure (protein databank ID: 3B9N) as a template in MODELLER 9v11, and further validated using PROCHECK, VERIFY-3D and WHATIF tools. Specific amino acids were substituted in the region corresponding to amino acids 305–370 of ladA protein, resulting in an enhancement of binding energy in different alkane chain molecules as compared to wild protein structures in the docking experiments. The substrate binding energy with the protein was calculated using Vina (Implemented in VEGAZZ). Molecular dynamics simulations were performed to study the dynamics of different alkane chain molecules inside the binding pockets of wild and mutated ladA. Here, we hypothesize an improvement in binding energies and accessibility of substrates towards engineered ladA enzyme, which could be further facilitated for wet laboratory-based experiments for validation of the alkane degradation pathway in this organism. This abstract shows homology based 3-D structure of alkane monooxygenase in Burkholderia thailandensis MSMB121, it was further validated using Ramachandaran plot, Whatif and verify-3D. Both wild and mutated alkane monooxygenase were docked with long chain alkane molecules (c16-c36) using Vina. Finally, a plot for RMSD of molecular dynamics simulations was generated using GROMACS showing fluctutations in wild and mutated protein structures

Variability analyses of functional domains within glucosamine-6-phosphate synthase of mycosescausing fungi.

The immunosuppressive individuals are highly prone to get afflicted with invasive opportunistic fungal infections such as Candidiasis, Aspergillosis, Histoplasmosis, Coccidioidomycosis, Blastomycosis, Penicilliosis, Cryptococcosis and Zygomycosis which are becoming a cause of concern to the mankind due to their high morbidity and mortality rates. The existing antifungal agents are not completely effective due to their severe side-effects and recurrent drug resistance in fungi. Hence, there is an urgent need to develop newer and better antifungal drugs. The enzyme Glucosamine-6-phosphate (G-6-P) synthase catalyzes the ratelimiting step of the fungal cell-wall biosynthetic pathway and targeting it can inhibit the growth of the fungus. The present study attempts to investigate the inherent variations in functional domain viz. Glutaminase (GATase II) and Sugar Isomerising (SIS) of Glucosamine-6-phosphate (G-6-P) synthase enzyme of mycoses-causing fungi. These domains may be identified as probable active site(s). Multiple sequence alignment performed using ClustalX2 and construction of phylogenetic tree of individual domains by MEGA v5.0 helped in the analyses of several variable amino acid sites within the domains suggesting their vital role in the pathogenesis of the fungi. Further, the online server ConSurf implied that mostly, the highly conserved residues of the domains were functional and exposed on the surface of the active site, making it an easy target for the drugs. Consequently, variable analysis of functional domains of target implicated the importance of target specific drug discovery for the treatment of invasive fungal infections or mycoses.