Abstract Detail

Abstract

In spite of its high effectiveness in the treatment of both leishmaniasis as well as a range of fungal infections, the free form of the polyene antibiotic amphotericin B (AmB) does not entertain the status of the most preferred drug of choice in clinical settings. The high intrinsic toxicity of the principal drug could be considered the main impedance in the frequent medicinal use of this otherwise very effective antimicrobial agent. Taking into consideration this fact, the pharma industry has introduced many novel dosage forms of AmB to alleviate its toxicity issues. However, the limited production, high cost, requirement for a strict cold chain, and need for parenteral administration are some of the limitations that explicitly compel professionals to look for the development of an alternate dosage form of this important drug. Considering the fact that the nano-size dimensions of drug formulation play an important role in increasing the efficacy of the core drug, we employed a green method for the development of nano-assemblies of AmB (AmB-NA). The as-synthesized AmB-NA manifests desirable pharmacokinetics in the treated animals. The possible mechanistic insight suggested that as-synthesized AmB-NA induces necrosis-mediated cell death and severe mitochondrial dysfunction in L. donovani promastigotes by triggering depolarization of mitochondrial membrane potential. In vivo studies demonstrate a noticeable decline in parasite burden in the spleen, liver, and bone marrow of the experimental BALB/c mice host. In addition to successfully suppressing the Leishmania donovani, the as-formed AmB-NA formulation also modulates the host immune system.

Biography

Presently working as a Professor in the Department of Computer Science, Aligarh Muslim University, Aligarh. Have been a faculty of the University since 2007.Besides active involvement in teaching various courses to MCA. /Ph.D. students, she has successfully established a small but active research group with a focus on Bioinformatics, Data mining, Big data Analytics, and Machine Learning as a tool to unravel intricate mysteries of biological events. The amalgamation of computer-assisted algorithms with biologically relevant big data involving bio-macro-molecules such as DNA/RNA and proteins provides insight into the functioning of drug molecules at the molecular level. She has also exploited bioinformatics-related tools to identify potent antigens that can function as a candidate vaccine. The bioinformatics-based algorithms developed in Dr. Swaleha’s group, not only helped in the development of subunit vaccines, however, resulted in robust protection against various relevant pathogens such as Mycobacterium tuberculosis, Brucella abortifaciens, and Listeria monocytogenes, etc. She has also extensively worked on the exploitation of machine learning in deciphering various complicated biological events. This has made a revolutionary impact in the prognosis, treatment, and prevention of various important diseases of global importance. She has published (82) research articles in peer-reviewed journals of international repute. Her research findings have been highly appreciated by her peers and published in relevant journals of international repute. Presently three (03) students are pursuing Ph.D. and six (06) students have been awarded Ph.D. degrees under her supervision. She has organized various faculty development /orientation programs for teachers at Aligarh Muslim University, Aligarh. Her contribution in the field of bioinformatics has been acknowledged by various research bodies. She has been bestowed with various national as well as international awards such as Indus Research Excellence Award, 2015, BEST RESEARCH AWARD by International Research Awards on New Science Inventions, NESIN 2020. and Asia’s Top 50 Academicians & Researchers-22 Award by Education Expo tv.