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Article

Prioritization of Drugs for Fungal Keratitis Eye Infections: An In-Silico Analysis

by
Punitha Thambidurai
1,
Vinodhini Raja
2,
Saranya Ashokapuram Selvam
3,
Moorthy Kannaiyan
3,* and
Gnanendra Shanmugam
4,*
1
Department of Microbiology, SAN International College of Arts and Science, Mavuthampathy Village, Navakkari, Coimbatore, Tamilnadu 641105, India
2
Department of Microbiology, Shri Sakthikailassh Women’s College, Military Road, Ammapet, Salem, Tamilnadu 636003, India
3
Department of Microbiology, Vivekanandha College of Arts and Sciences (W), Elayamplayam, Tiruchengode, Namakkal dist, Tamilnadu 637205, India
4
Microbial Genomics Lab, Department of Biotechnology, College of Life and Applied Sciences, Yeungnam University, Gyeongbuk, Gyeongsan 38541, Korea
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2019, 9(12), 2485; https://doi.org/10.3390/app9122485
Submission received: 23 April 2019 / Revised: 10 June 2019 / Accepted: 12 June 2019 / Published: 18 June 2019
(This article belongs to the Section Applied Biosciences and Bioengineering)

Abstract

The fungal keratitis (FK) infections that cause cornea inflammations are more virulent than other bacterial keratitis infections and remain one of the most ethereal and challenging infections for ophthalmologists to diagnose and treat. Thus, the urgency in understanding the current perspectives of antifungal agents and their interactions with novel therapeutic targets and the identification of novel anti-fungal agents are at the frontline of studies in the pharmaceutical industry. In this study, DNA dependent RNA polymerase was modelled and virtually screened against eight antifungal agents, and it was found that Itraconazole (−22.0427 kJ/mol), Ketoconazole (−20.2194 kJ/mol), and Voriconazole (−12.6388 kJ/mol) exhibited better binding interactions. further, the structural and electronic properties of Itraconazole calculated through density functional theory studies revealed the sites of chemical reactivity that are vital in the compounds for possible interactions with RNA polymerase (RNAP). Hence, this study explores the binding efficacies of various anti-fungal agents through docking studies and their chemical entities, which might pave a significant path for the design of novel anti-fungal agents against hyalohyphomycetes causing keratitis.
Keywords: fungal keratitis; hyalohyphomycetes; Aspergillus flavus; Aspergillus fumigatus; docking; density functional theory (DFT) fungal keratitis; hyalohyphomycetes; Aspergillus flavus; Aspergillus fumigatus; docking; density functional theory (DFT)

Share and Cite

MDPI and ACS Style

Thambidurai, P.; Raja, V.; Ashokapuram Selvam, S.; Kannaiyan, M.; Shanmugam, G. Prioritization of Drugs for Fungal Keratitis Eye Infections: An In-Silico Analysis. Appl. Sci. 2019, 9, 2485. https://doi.org/10.3390/app9122485

AMA Style

Thambidurai P, Raja V, Ashokapuram Selvam S, Kannaiyan M, Shanmugam G. Prioritization of Drugs for Fungal Keratitis Eye Infections: An In-Silico Analysis. Applied Sciences. 2019; 9(12):2485. https://doi.org/10.3390/app9122485

Chicago/Turabian Style

Thambidurai, Punitha, Vinodhini Raja, Saranya Ashokapuram Selvam, Moorthy Kannaiyan, and Gnanendra Shanmugam. 2019. "Prioritization of Drugs for Fungal Keratitis Eye Infections: An In-Silico Analysis" Applied Sciences 9, no. 12: 2485. https://doi.org/10.3390/app9122485

APA Style

Thambidurai, P., Raja, V., Ashokapuram Selvam, S., Kannaiyan, M., & Shanmugam, G. (2019). Prioritization of Drugs for Fungal Keratitis Eye Infections: An In-Silico Analysis. Applied Sciences, 9(12), 2485. https://doi.org/10.3390/app9122485

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