EventsThe 5th International Electronic Conference on Applied Sciences
Published
This submission belongs to the session S2. Nanosciences, Chemistry and Materials Science of the event The 5th International Electronic Conference on Applied Sciences
Published date
04 Dec, 2024
Academic Editor
author-avatarLuis Cerdán
Citation
Satya Satya, Sakshi Gupta, Kulsum Hashmi, Seema Joshi, A Computational Approach to Thiosemicarbazone Metal Complexes: Structure, Reactivity, and Biomedical applications, in Proceedings of The 5th International Electronic Conference on Applied Sciences, 4 December–6 December 2024, MDPI: Basel, Switzerland
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A Computational Approach to Thiosemicarbazone Metal Complexes: Structure, Reactivity, and Biomedical applications

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Seema Joshi 1
1. Department of Chemistry, Isabella Thoburn College, University of Lucknow, Lucknow (U.P.) 226007, India, India
Abstract

Thiosemicarbazones are recognized for their flexibility in coordination and various applications in areas such as medicinal chemistry, catalysis, and material science. Thiosemicarbazone metal complexes are a significant area of study due to their intriguing properties and applications across multiple scientific fields. By using density functional theory (DFT) and molecular docking methods, researchers conduct computational studies to elucidate the structural, electronic, and reactivity characteristics of these complexes. These investigations not only aid in understanding experimental data but also guide synthetic strategies by offering predictive insights into the structural features of the complexes. Additionally, these computational approaches allow scientists to analyze electronic structures and spectroscopic properties, which is essential for elucidating reactivity patterns and establishing structure–activity relationships (SARs). In biological contexts, these studies provide insights into how these complexes interact with biological targets, enhancing our understanding of their mechanisms of action and informing the design of therapeutic agents that exhibit improved efficacy and decreased toxicity. Computational studies bridge the gap between experimental research and theoretical understanding, enabling scientists to predict and optimize the behavior of metal complexes in various chemical and biological systems. In this study, we discuss the computational insights of thiosemicarbazone metal complexes, exploring their structural properties, reactivity, and biomedical applications.

Keywords
thiosemicarbazone
DFT
computational
metal complexes
biological applications
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