2016
DOI: 10.1166/qm.2016.1386
|View full text |Cite
|
Sign up to set email alerts
|

Predictive Qualitative Structure-Property/Activity Relationships for Drug Design in Some of Antimycobacterial Pyrrole Derivatives

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4

Citation Types

0
4
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 0 publications
0
4
0
Order By: Relevance
“…Also, the alkylic group substituted pyrrole derivatives have been investigated using computational tools to predict the SAR features in smart agent design for antimycobacterial activity. [35] Previously we reported the synthesis of strychnos alkaloids using a DDQ cyclization reaction. [36] In this study, we introduce a novel mechanism involving DDQ-catalyzed oxidative coupling between ketoximes and DEAD "diethyl acetylene dicarboxylate", paving the way for the synthesis of diversely substituted pyrroles (Scheme 1).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Also, the alkylic group substituted pyrrole derivatives have been investigated using computational tools to predict the SAR features in smart agent design for antimycobacterial activity. [35] Previously we reported the synthesis of strychnos alkaloids using a DDQ cyclization reaction. [36] In this study, we introduce a novel mechanism involving DDQ-catalyzed oxidative coupling between ketoximes and DEAD "diethyl acetylene dicarboxylate", paving the way for the synthesis of diversely substituted pyrroles (Scheme 1).…”
Section: Introductionmentioning
confidence: 99%
“…have reported a detailed investigation of the MMNPC molecules in the framework of pyrrole; they have used the DFT methods to examine the vibrational analysis, UV‐Vis spectrum, NBO analysis, and NMR spectrum, alongside MEP analysis and local reactivity descriptor analysis; the results imply they promise as a potent inhibitor for treating ovarian cancer and potential for novel drug development. Also, the alkylic group substituted pyrrole derivatives have been investigated using computational tools to predict the SAR features in smart agent design for antimycobacterial activity [35] …”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is crucial to test whether the proposed derivatives ( 2H , 6H , 7H , and 9H ) satisfy the ADME prerequisites as anticancer drugs. The final step in drug design and drug discovery is to perform quantitative structure–activity relationships (QSAR) using the multilinear regression statistical approach that predicts the antitumor activity as a function of the quantum chemical parameters from quantum chemical computation and the physicochemical parameters from virtual screening and drug-like computation [ 7 , 24 , 32 , 33 , 34 , 35 , 36 , 37 ]. In medicinal chemistry, there is a principle indicating that structurally similar molecules may have similar biological activities [ 38 ].…”
Section: Introductionmentioning
confidence: 99%
“…Quantitative Structure Activity Relationships (QSARs) [8,25,[31][32][33][34][35][36] attempt to establish a correlation between the physicochemical parameters of chemical structures and their biological activity. There is a general principle of medicinal chemistry on which QSAR is based which connects the biological activity of a compound to its molecular structure, which states that structurally similar molecules may have similar biological activities [37].…”
Section: Introductionmentioning
confidence: 99%