scholarly journals Functional Implication Guided by Structure-Based Study on Catalase – Peroxidase (KatG) from Haloarcula Marismortui

10.5772/35672 ◽  
2012 ◽  
Author(s):  
Takao Sato
Author(s):  
Fabrice Cendrin ◽  
Hélène M. Jouve ◽  
Jacques Gaillard ◽  
Pierre Thibault ◽  
Giuseppe Zaccai

2002 ◽  
Vol 9 (9) ◽  
pp. 691-695 ◽  
Author(s):  
Yusuke Yamada ◽  
Taketomo Fujiwara ◽  
Takao Sato ◽  
Noriyuki Igarashi ◽  
Nobuo Tanaka

2019 ◽  
Vol 15 (5) ◽  
pp. 369-383
Author(s):  
Rahul Balasaheb Aher ◽  
Kunal Roy

Tuberculosis, malaria, dengue, chikungunya, leishmaniasis etc. are a large group of neglected tropical diseases that prevail in tropical and subtropical countries, affecting one billion people every year. Minimal funding and grants for research on these scientific problems challenge many researchers to find a different way to reduce the extensive time and cost involved in the drug discovery cycle of these problems. Computer-aided drug design techniques have already been proved successful in the discovery of new molecules rationally by reducing the time and cost involved in the development of drugs. In the current minireview, we are highlighting on the molecular modeling studies published during 2010-2018 for target specific antitubercular agents. This review includes the studies of Structure-Based (SB) and Ligand-Based (LB) modeling and those involving Machine Learning (ML) techniques against different antitubercular targets such as dihydrofolate reductase (DHFR), enoyl Acyl Carrier Protein (ACP) reductase (InhA), catalase-peroxidase (KatG), enzyme antigen 85C, protein tyrosine phosphatases (PtpA and PtpB), dUTPase, thioredoxin reductase (MtTrxR), etc. The information presented in this review will help the researchers to get acquainted with the recent progress in the modeling studies of antitubercular agents.


2021 ◽  
Vol 48 (1) ◽  
pp. 773-786
Author(s):  
Mwichie Namusamba ◽  
Zhi Li ◽  
Qi Zhang ◽  
Changli Wang ◽  
Tianyi Wang ◽  
...  

Structure ◽  
2021 ◽  
Author(s):  
Asma Munir ◽  
Michael T. Wilson ◽  
Steven W. Hardwick ◽  
Dimitri Y. Chirgadze ◽  
Jonathan A.R. Worrall ◽  
...  

Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 547
Author(s):  
Arafat Abdel Hamed Abdel Latef ◽  
Md. Tahjib-Ul-Arif ◽  
Mohammad Saidur Rhaman

Auxin not only controls the development processes, but also regulates the stress responses of plants. In this investigation, we explored the potential roles of exogenously applied indole-3-acetic acid (IAA) in conferring salt tolerance in the faba bean (Vicia faba L.). Our results showed that foliar application of IAA (200 ppm) to salt-exposed (60 mM and 150 mM NaCl) plants promoted growth, which was evidenced by enhanced root–stem traits. IAA application ensured better osmotic protection in salt-stressed plants which was supported by reduced proline and enhanced soluble sugar, soluble protein, and total free amino acid contents in the roots, stem, and seeds. IAA application also increased the number of nodules in salt-stressed plants, which may facilitate better nitrogen assimilation. Moreover, IAA mediated improvements in mineral homeostasis (K+, Ca2+, and Mg2+) and the translocation of Na+, while it also inhibited excessive accumulation of Na+ in the roots. Salt-induced oxidative damage resulted in increased accumulation of malondialdehyde, whereas IAA spraying relegated malondialdehyde by improving antioxidant enzymes, including superoxide dismutase, catalase, peroxidase, and ascorbate peroxidase. Together, these results together with a principal component analysis uncovered that foliar spraying of IAA alleviated the antagonistic effects of salt stress via enhancing osmolyte accumulation, ionic homeostasis, and antioxidant activity. Finally, exogenous IAA enhanced the yield of broad beans under high salinity conditions.


2013 ◽  
Vol 521 (10) ◽  
pp. 2235-2261 ◽  
Author(s):  
Guibao Gu ◽  
Barbara Roland ◽  
Kevin Tomaselli ◽  
Carrie S. Dolman ◽  
Carolyn Lowe ◽  
...  

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