2021
DOI: 10.1002/vjch.202100067
|View full text |Cite
|
Sign up to set email alerts
|

Structural aspects, reactivity analysis, wavefunction based properties, cluster formation with helicene and subsequent detection from surface enhancement in Raman spectra of triclabendazole studies using first principle simulations

T. Pooventhiran,
Renjith Thomas,
Utsab Bhattacharyya
et al.

Abstract: This manuscript aims to study the structure and the other physical and chemical properties of triclabendazole, which is used to treat liver flukes, with the help of electronic structure methods. With the help of density functional theory, the ground state geometry of the triclabendazole molecule was optimized using B3LYP functional along with aug‐cc‐pVDZ basis set. The reactivity descriptors were discussed in detail to evaluate the biological potential of the compound. The molecule was found to show excellent … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 19 publications
(1 citation statement)
references
References 75 publications
(78 reference statements)
0
0
0
Order By: Relevance
“…Various computational methods are crucial for designing materials, allowing scientists to predict essential properties before synthesis or production [37][38][39][40]. When computational methods for materials modeling are combined with experimental findings, a comprehensive understanding of underlying mechanisms is enabled, pawing the way to develop new materials [41][42][43][44][45]. Thanks to rapid development, different computational methods are now available for the theoretical investigation of molecules and periodic structures, which enables scientists to design new materials and products with finely tuned properties [46][47][48][49][50].…”
Section: Introductionmentioning
confidence: 99%
“…Various computational methods are crucial for designing materials, allowing scientists to predict essential properties before synthesis or production [37][38][39][40]. When computational methods for materials modeling are combined with experimental findings, a comprehensive understanding of underlying mechanisms is enabled, pawing the way to develop new materials [41][42][43][44][45]. Thanks to rapid development, different computational methods are now available for the theoretical investigation of molecules and periodic structures, which enables scientists to design new materials and products with finely tuned properties [46][47][48][49][50].…”
Section: Introductionmentioning
confidence: 99%