2019
DOI: 10.1186/s13065-019-0608-5
|View full text |Cite
|
Sign up to set email alerts
|

In-silico molecular design of heterocyclic benzimidazole scaffolds as prospective anticancer agents

Abstract: Benzimidazole is a valuable pharmacophore in the field of medicinal chemistry and exhibit wide spectrum of biological activity. Molecular docking technique is routinely used in modern drug discovery for understanding the drug-receptor interaction. The selected data set of synthesized benzimidazole compounds was evaluated for its in vitro anticancer activity against cancer cell lines (HCT116 and MCF7) by sulforhodamine B (SRB) assay. Further, molecular docking study of data set was carried out by Schrodinger-Ma… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
40
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 48 publications
(40 citation statements)
references
References 38 publications
0
40
0
Order By: Relevance
“…Two analogous catalytic sites are localized between each of the dimer pairs and are correlated by a noncrystallographic two-fold axis. e virtual docking was performed for the most active compounds (4a and 5a) in order to rationalize the activity of these compounds against malaria [56].…”
Section: Antiprotozoal Activitymentioning
confidence: 99%
“…Two analogous catalytic sites are localized between each of the dimer pairs and are correlated by a noncrystallographic two-fold axis. e virtual docking was performed for the most active compounds (4a and 5a) in order to rationalize the activity of these compounds against malaria [56].…”
Section: Antiprotozoal Activitymentioning
confidence: 99%
“…The imported protein structure obtained from the PDB was not suitable for immediate use in the molecular docking study as it contained excess material (i.e., water molecules, metal ions, cofactors, etc.). To overcome this obstacle, the protein structure was prepared using the protein preparation wizard (preprocessed, optimized, and minimized) in Maestro v10.6 11,12 . The ligand structures of the data set were prepared by LigPrep module of Schrodinger v10.6 12 .…”
Section: Molecular Modelingmentioning
confidence: 99%
“…An about ten physically significant descriptors and pharmacological parameters of the ligands were analyzed. The water solubility of the ligand/compounds is playing a significant role in absorption, distribution, metabolism, excretion and the bioavailability [21,22]. The bioavailability of a molecule will be predicted using the Lipinski's rule of five, which is a familiar filter of choice.…”
Section: Adme Predictionmentioning
confidence: 99%