Eco-Compatible Green Synthesis of 1, 2-Disubstituted Benzimidazole Derivatives and Their In-Silico Studies in Designing of Anti-Malarial Potent Candidates

Swapnil J. Wagh

International Journal of Scientific Research in Science and Technology, 2026, vol. 13, issue 1, 407-415

Abstract: With the green approach, a novel and sustainable synthetic method for 1,2-disubstituted benzimidazole have been developed successfully using eco-compatible catalyst. In this report we have prepared 1, 2-disubstituted benzimidazole derivatives by double condensation between o-phenylenediamine (OPD) with various substituted benzaldehydes in presence of eco-compatible catalyst waste curd water under stirring at room temp. The employment of waste curd water for this reaction provides both as solvent as well as reaction medium with excellent yield of 81-90% within less reaction time and ease of workup process. In addition to eco-compatible green synthesis of benzimidazole derivatives, we extended their in-silico docking studies with PDB ID 1LDG using CB dock-2 web server. The green synthesized benzimidazole derivatives showed range of interactions with Gly27, Ser28, Gly29, Met 30, Asp53, Thr 97, Ala 98, Gly99, Phe 100, Thr 101, Lys102, Asn116, Val138, Thr139, Asn140 amino acids residues were predominately estimated with acceptable dock score. This exploration confirms the anti-malarial candidature of 1, 2-disubstituted benzimidazole derivatives.

Keywords: 1,2-disubstituted benzimidazole; waste curd water; eco-compatible; in-silico analysis; 1LDG; green synthesis; anti-malarial (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST2613157 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST2613157/IJSRST2613157 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v13:y2026:i1:id:1411

DOI: 10.32628/IJSRST2613157

Access Statistics for this article

More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().