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Author: search.filters.author.Shahbaaz, MohdHas files: Yes

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    Computational and experimental studies of putative virulence factors of Mycobacterium tuberculosis H37Rv
    (2017) Shahbaaz, Mohd; Bisetty, Krishna
    In drug discovery and development of anti-tubercular therapeutics, it is necessary to study the physiology and genetics of the molecular mechanisms present in the Mycobacterium tuberculosis. The virulence of M. tuberculosis is attributed to its unique genome, which contains a high frequency of glycine-rich proteins and genes involved in the metabolism of the fatty acids. Consequently, the presence of a diversity of the pathogenic pathways such as acid tolerance and drug resistance mechanisms in M. tuberculosis makes the treatment of Tuberculosis (TB) challenging. However, the molecular basis of the virulence factors involved in the pathogenesis is not fully understood. Accordingly, the current study focuses on better understanding of the pathogenic proteins present in this bacterium using available computational techniques. In South Africa, there is an alarming increase in the drug-resistant TB in HIV co-infected patients, which is one of the biggest challenges to the current anti-tubercular therapies. An extensive literature search showed that the mutations in the virulent proteins of M. tuberculosis resulted in the development of drug tolerance in the pathogen. The molecular and genetic studies identified frequently occurring point mutations associated with the drug resistance in proteins of M. tuberculosis. Despite the efforts, TB infection is still increasing because different pathogenic pathways in the bacterial system are still undiscovered. Therefore, this study involves an in silico approach aimed at the identification of novel drug resistance implicated point mutations. The site- directed mutations leading to the development of resistance against four first-line drugs (Ethambutol, Isoniazid, Rifampicin, and Streptomycin) were studied extensively. In the primary investigation, pathogenic mutational landscapes were classified in the sequences of the studied proteins. The effects of these mutations on the stability of the proteins were studied using diverse computational techniques. The structural basis of the point mutations with the highest destabilizing effects was analyzed using the principles of the Density Functional Theory (DFT), molecular docking and molecular dynamics (MD) simulation studies. The varied conformational behavior resulted from these predicted substitutions were compared with the experimentally derived mutations reported in the literature. The outcome of this study enabled the identification of the novel drug resistance-associated point mutations which were not previously reported. Furthermore, a detailed understanding of the conformational behavior of diverse virulent proteins present in M. tuberculosis was also generated in this study. Literature study showed that inside the host’s macrophage cells, the virulent proteins such as isocitrate lyase, lipase lipF, magnesium transporter MgtC, porin protein OmpATb, a protein of two component systems PhoP, Rv2136c and Rv3671c have an established role in the development of the acid tolerance. On the other hand, information regarding their role in the acid resistance is scarce. Accordingly, the structural basis of their role in acid resistance was analyzed using constant pH based MD simulations. In the studied proteins, the lipF and PhoP showed highest structural stability in highly acidic conditions throughout the course of MD simulations. Therefore, these proteins may play a primary role in the process of resistance. In addition to these pathogenic proteins, there is a need to identify new undiscovered virulent proteins in the genome of M. tuberculosis, which increases the efficiency of the current therapy. The knowledge generated by the analyses of the proteins involved in resistance and pathogenic mechanisms of M. tuberculosis forms the basis for the identification of new virulence factors. Therefore, an in silico protocol was used for the functional annotations and analyses of the virulence characteristics. M. tuberculosis contains 1000 Hypothetical Proteins (HPs), which are functionally uncharacterized proteins and their existence was not validated at the biochemical level. In this study, the sequences of the HPs were extensively analyzed and the functions of 662 HPs were successfully predicted. Furthermore, 483 HPs were classified in the category of the enzymes, 141 HPs were predicted to be involved in the diverse cellular mechanisms and 38 HPs may function as transporters and carriers proteins. The 307 HPs among this group of proteins were less precisely predicted because of the unavailability of the reliable functional homologs. An assessment of the virulence characteristics associated with the 1000 HPs enabled the classification of 28 virulent HPs. The structure of six HPs with highest predicted virulence score was analyzed using molecular modelling techniques. Amongst the predicted virulent HPs, the clone for Rv3906c purchased from the DNASU repository because of the ease of its availability. The gene of Rv3906c was isolated and cloned into a pET-21c expression vector. The analyses of the nucleotide sequence showed that Rv3906c gene (500 bp) encodes a 169 amino acid protein of molecular weight 17.80 kDa (~18.0 kDa). The sequence analyses of Rv3906c showed that the HPs showed high similarities with pullulanase, a thermophilic enzyme. The stability profile at different temperatures for Rv3906c generated using MD simulations showed that Rv3906c maintained its structural identity at higher temperatures. It is expected that this study will result in the design of better therapeutic against the infection of M. tuberculosis, as novel undiscovered virulence factors were classified and analyzed in addition to the conformational profiles of the virulent proteins involved in the resistance mechanisms.
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    Functional insight into Putative Conserved Proteins of Rickettsia rickettsii and their Virulence characterization
    (Bentham Science Publishers, 2015) Shahbaaz, Mohd; Bisetty, Krishna; Ahmad, Faizan
    Abstract: Rickettsia rickettsii is an aerobic, Gram-negative and non-motile coccobacillus known to cause Rocky Mountain spotted fever. The sequenced genome of its 'Sheila Smith' strain contains 1,343 protein-coding genes, 3 rRNA genes and 33 transfer RNA genes. There are 680 hypothetical proteins (HPs) present in the genome of R. rickettsii. Since functions of these proteins are not validated ex-perimentally, characterization of these HPs may play a significant role in understanding the patho-genic mechanisms of R. rickettsii. Hence, functions of these HPs were annotated by in silico methods based on sequence similarity, protein clustering and protein-protein interactions. We have successfully predicted functions of 214 proteins among 680 HPs present in R. rickettsii. These annotated proteins were further classified into 88 enzymes, 59 transport and membrane proteins, 35 binding proteins, 12 structural motifs and the rest of the protein families. Moreo-ver, we identified HPs involved in virulence among 214 functionally annotated proteins. 15 HPs were classified as viru-lence factors and two proteins with the highest scores were selected for further analyses. Additionally, molecular dynam-ics simulations were performed on these selected virulent HPs in order to observe their conformational behaviors. These analyses can further be utilized in the identification of new drug targets for development of better therapeutic agents against the infections caused by R. rickettsii.
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    Designing new kinase inhibitor derivatives as therapeutics against common complex diseases : structural basis of microtubule affinity-regulating kinase 4 (MARK4) inhibition
    (Mary Ann Liebert, Inc., 2015) Naz, Farha; Shahbaaz, Mohd; Bisetty, Krishna; Islam, Asimul; Ahmad, Faizan; Hassan, Md. Imtaiyaz
    Drug development for common complex diseases is in need of new molecular entities and actionable drug targets. MAP/microtubule affinity-regulating kinase 4 (MARK4) is associated with numerous diseases such as neurodegenerative disorders, obesity, cancer, and type 2 diabetes. Understanding the structural basis of ligands’ (inhibitors) and substrates’ binding to MARK4 is crucial to design new kinase inhibitors for therapeutic pur-poses. This study reports new observations on docking three well-known kinase inhibitors in the kinase domain of MARK4 variants and the calculated binding affinity. These variants of MARK4 are named as MARK4-F1 (59 N-terminal residues along with kinase domain) and MARK4-F2 (kinase domain of MARK4). We addi-tionally performed molecular dynamics (MD) simulation and fluorescence binding studies to calculate the actual binding affinity of kinase inhibitors, BX-912, BX-795, and OTSSP167 (hydrochloride) for the MARK4. Docking analyses revealed that ligands bind in the large hydrophobic cavity of the kinase domain of MARK4 through several hydrophobic and hydrogen-bonded interactions. Simulations suggested that OTSSP167 (hy-drochloride) is forming a stable complex, and hence the best inhibitor of MARK4. Intrinsic fluorescence of MARK4 was significantly quenched by addition of ligands, indicating their potential binding to MARK4. A lower KD value of MARK4 with OTSSP167 (hydrochloride) suggested that it is a better interacting partner than BX-912 and BX-795. These data form a basis for designing novel and potent OTSSP167 (hydrochloride) derivatives as therapeutic candidates against common complex diseases. The inhibitors designed as such might possibly suppress the growth of tumor-forming cells and be potentially applied for treatment of a wide range of human cancers as well.
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    Towards new drug targets? Function prediction of putative proteins of Neisseria meningitidis MC58 and their virulence characterization
    (Mary Ann Liebert, Inc., 2015) Shahbaaz, Mohd; Bisetty, Krishna; Ahmad, Faizan; Hassan, Md. Imtaiyaz
    Neisseria meningitidis is a Gram-negative aerobic diplococcus, responsible for a variety of meningococcal dis-eases. The genome of N. meningitidis MC58 is comprised of 2114 genes that are translated into 1953 proteins. The 698 genes (*35%) encode hypothetical proteins (HPs), because no experimental evidence of their biological functions are available. Analyses of these proteins are important to understand their functions in the metabolic networks and may lead to the discovery of novel drug targets against the infections caused by N. meningitidis. This study aimed at the identification and categorization of each HP present in the genome of N. meningitidis MC58 using computational tools. Functions of 363 proteins were predicted with high accuracy among the annotated set of HPs investigated. The reliably predicted 363 HPs were further grouped into 41 different classes of proteins, based on their possible roles in cellular processes such as metabolism, transport, and replication. Our studies revealed that 22 HPs may be involved in the pathogenesis caused by this microorganism. The top two HPs with highest virulence scores were subjected to molecular dynamics (MD) simulations to better understand their conformational behavior in a water environment. We also compared the MD simulation results with other virulent proteins present in N. meningitidis. This study broadens our understanding of the mechanistic pathways of pathogenesis, drug resistance, tolerance, and adaptability for host immune responses to N. meningitidis.