Computational Sciences - Research Publications

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Author: search.filters.author.Kulharia, MaheshHas files: Yes

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    A study of mechanistic mapping of novel SNPs to male breast cancer
    (Humana Press Inc., 2019) Kaur, R.P; Kumar, V; Shafi, G; Vashistha, R; Kulharia, Mahesh; Munshi, Aanjan
    Alterations in BRCA2, PALB2, CHEK2, and p53 genes have been identified for their association with male breast cancer in various studies. The incidence of male breast cancer in India is consistent with its global rate. The present study was carried out with an aim to evaluate the genetic alterations in male breast cancer patients from Malwa region of Punjab, India. Four male breast cancer patients belonging to different families were recruited from Guru Gobind Singh Medical College and Hospital, Faridkot, India. A total of 51 genes reported with implications in the pathogenesis of breast cancer were screened using next generation sequencing. Germline variations were found in BRCA1, BRCA2, PMS2, p53, and PALB2 genes, previously reported to be associated with MBC as well as FBC. In addition to these, 13 novel missense alterations were detected in eight genes including STK11, FZR1, PALB2, BRCA2, NF2, BAP1, BARD1, and CHEK2. Impact of these missense alterations on structure and function of protein was also analyzed through molecular dynamics simulation. Structural analysis of these single nucleotide polymorphisms (SNPs) revealed significant impact on the encoded protein functioning. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.
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    Evaluation of in silico designed inhibitors targeting MelF (Rv1936) against Mycobacterium marinum within macrophages
    (Nature Publishing Group, 2019) Dharra, R; Radhakrishnan,V.S; Prasad, T; Thakur, Z; Cirillo, J.D; Sheoran, A; Pandey, A.K; Kulharia, Mahesh; Mehta P.K.
    We recently identified inhibitors targeting Mycobacterium marinum MelF (Rv1936) by in silico analysis, which exhibited bacteriostatic/bactericidal activity against M. marinum and M. tuberculosis in vitro. Herein, we evaluated the effect of best four inhibitors (# 5175552, # 6513745, # 5255829, # 9125618) obtained from the ChemBridge compound libraries, on intracellular replication and persistence of bacteria within IFN-γ activated murine RAW264.7 and human THP-1 macrophages infected with M. marinum. Inhibitors # 5175552 and # 6513745 significantly reduced (p < 0.05) the intracellular replication of bacilli during day 7 post-infection (p.i.) within RAW264.7 and THP-1 macrophages infected at multiplicity of infection (MOI) of ~1.0. These observations were substantiated by electron microscopy, which revealed the protective effect of # 5175552 in clearing the bacilli inside murine macrophages. Strikingly, # 6513745 displayed synergism with isoniazid against M. marinum in murine macrophages, whereas # 5175552 significantly suppressed (p < 0.05) the persistent bacilli during day 10–14 p.i. in infected RAW264.7 and THP-1 macrophages (MOI of ~ 0.1). Moreover, # 5175552 and # 6513745 were non-cytotoxic to host macrophages at both 1X and 5X MIC. Further validation of these inhibitors against M. tuberculosis-infected macrophages and animal models has potential for development as novel anti-tubercular agents. © 2019, The Author(s).
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    Could mycobacterial MelF protein (Rv1936) be used as a potential drug target?
    (Future Medicine Ltd., 2018) Mehta P.K.; Dharra R.; Kulharia, Mahesh
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    PPInS: a repository of protein-protein interaction sitesbase
    (Nature Publishing Group, 2018) Kumar V.; Mahato S.; Munshi, Anjana; Kulharia, Mahesh
    Protein-Protein Interaction Sitesbase (PPInS), a high-performance database of protein-protein interacting interfaces, is presented. The atomic level information of the molecular interaction happening amongst various protein chains in protein-protein complexes (as reported in the Protein Data Bank [PDB]) together with their evolutionary information in Structural Classification of Proteins (SCOPe release 2.06), is made available in PPInS. Total 32468 PDB files representing X-ray crystallized multimeric protein-protein complexes with structural resolution better than 2.5 Å had been shortlisted to demarcate the protein-protein interaction interfaces (PPIIs). A total of 111857 PPIIs with ~32.24 million atomic contact pairs (ACPs) were generated and made available on a web server for on-site analysis and downloading purpose. All these PPIIs and protein-protein interacting patches (PPIPs) involved in them, were also analyzed in terms of a number of residues contributing in patch formation, their hydrophobic nature, amount of surface area they contributed in binding, and their homo and heterodimeric nature, to describe the diversity of information covered in PPInS. It was observed that 42.37% of total PPIPs were made up of 6-20 interacting residues, 53.08% PPIPs had interface area ?1000 Å 2 in PPII formation, 82.64% PPIPs were reported with hydrophobicity score of ?10, and 73.26% PPIPs were homologous to each other with the sequence similarity score ranging from 75-100%. A subset ''Non-Redundant Database (NRDB)'' of the PPInS containing 2265 PPIIs, with over 1.8 million ACPs corresponding to the 1931 protein-protein complexes (PDBs), was also designed by removing structural redundancies at the level of SCOP superfamily (SCOP release 1.75). The web interface of the PPInS (http://www.cup.edu.in:99/ppins/home.php) offers an easy-to-navigate, intuitive and user-friendly environment, and can be accessed by providing PDB ID, SCOP superfamily ID, and protein sequence. - 2018, The Author(s).