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Multiple facets of poly(ADP-ribose) polymerase-1 in neurological diseases

Neural Regeneration Research 2015年第1期10卷 49-51页

作者： Chandra Shaker Sriram Ashok Jangra Rajaram Mohanrao Madhana Satendra Singh Gurjar Pritam Mohan babul kumar bezbaruah Department of Pharmacology & Toxicology National Institute of Pharmaceutical Education & Research (NIPER)GuwahatiAssam-781032 India Department of Biotechnology National Institute of Pharmaceutical Education and Research (NIPER)Guwahati Assam-781032 India Department of Pharmacology College of Veterinary Sciences AAU Khanapra Guwahati Assam-781022 India Department of Pharmacology Gauhati Medical CollegeGuwahatiAssam-781032India

The highly conserved abundant nuclear protein poly （ADP-ribose） polymerase-1 （PARP-1） is activated by DNA damage. PARP-1 activation is associated in DNA repair, cell death and inflammation. Since oxidative stress induced robust DNA damage and wide spread inflamma- tory responses are common pathologies of various CNS diseases, the attention towards PARP-1 as a therapeutic target has been amplifying. This review highlights the multiple roles of PARP- 1 in neurological diseases and po- tential of PARP- 1 inhibitors to enter clinical translation.

关键词： PARP Multiple facets of poly polymerase-1 in neurological diseases ADP-ribose

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A model study on the stacking interaction of phenanthroline ligand with nucleic acid base pairs: An ab initio, MP2 and DFT studies

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Journal of Biophysical Chemistry 2011年第2期2卷 153-158页

作者： Pankaj Hazarika Bipul bezbaruah Pranjali Das Okhil kumar Medhi Chitrani Medhi Chemistry Department Gauhati University P.O Gauhati University Guwahati-781014 INDIA

The stacking of phenanthroline(phen) ligand within base pair sequences is one of the important factors for the stabilization of metalphen complex within DNA. The stacking ability of this ligand has been assessed to deduce the base pair selectivity as well as to identify the favored region of intercalation. Different level of theories have been used to predict the favorable regions for stacking interaction of phen ligand with base pair, but the results of MP2/6-31+G(d,p) is found to be reasonably good for monitoring such interactions.

关键词： Intercalation Stacking Interaction Phenanthroline Ligand Ab initio Basis set

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Fingerprinting of the Acacia nilotica （L.） Bark Extract Having Antibacterial Property

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Journal of Health Science 2015年第3期3卷 123-127页

作者： Jayshree D. Patel Nirmal S. Sahay Vipin kumar Sadbhav SRISTI Sanshodhan Laboratory SRISTI AES Boys Hostel Campus Nr. Gujarat University Library & SBI BankNavrangpura Ahmedabad Gujarat 380 009 India Chief coordinator Sadbhav SRISTI Sanshodhan Laboratory SRISTI AES Boys Hostel Campus Nr. Gujarat University Library &SBI Bank Navrangpura Ahmedabad Gujarat 380 009 India Director National Innovation Foundation-India Sattelite complex Near Mansi cerele Ahmedabad Gujarat 380 O15 India

Acacia nilotica （L.） Delile, commonly known as ＂babul＂, is reported for its medicinal property since ages. Plant is recognized for its medicinal use in traditional practices. For the study, phytochemicals were extracted as well as identified from four different solvents and their antibacterial property was determined. The fingerprinting was accomplished using HPTLC and the MIC （Minimum Inhibitory Concentration） was elucidated using standard protocols. Two Gram positive （Staphylococcus aureus and Bacillus subtilis） and two Gram negative （Escherichia coli and Pseudomonas aeruginosa） bacteria were selected for the antibacterial screening. The major phytochemicals identified in the extract of the bark of A. nilotica were catechin/epicatechin, ellagic acid and m-digallic acid. Excellent antimicrobial activity was found in chloroform （40 ~tg/mL） and methanol （60 ~g/mL） extracts against Pseudomonas aeruginosa. The chloroform extracts consist of higher number of phytochemicals/bands as compared with other extracts and demonstrated significant antibacterial activity against all the test bacterial species.

关键词： Acacia nilotica antimicrobial screening fingerprinting bacteria HPTLC

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