Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Designing Derivative Compounds of 4-Chlorophenyloxy N-Alkyl Phosphoramidates as Anti-Cervical Cancer Agents Based on QSAR Model

View through CrossRef
Design of 4-chlorophenyloxy n-alkyl phosphoramidates derivative compounds as anti-cervical cancer agents using the QSAR model research was purposed to determine the best QSAR equation from 4-chlorophenyloxy N-alkyl phosphoramidates (3’-[4-fluoroaryl-(1,2,3-triazol-1-yl)]-3’-deoxythymidine) derivative compound and design a new compound of 4-chlorophenyloxy N-alkyl phosphoramidates derivative which has better activity than derivative compounds that synthesized before. Designing new anti-cervical cancer was done using electronic descriptor and molecular descriptor, which is obtained using DFT/ B3LYP/6-31G calculation. The linear regression method arranged the best QSAR equation and predicted the IC50. The best QSAR model to design the anti-cervical cancer compound is log IC50 = -498.629 + (-69.645 × qCl) + (-1267.348 × qC12) + (-25.627 × qC17) + (-1209.520 × qO4) + (0.541 × log P ), with statistic parameter n = 21, r2 = 0.867, SEE = 0,179, Fcount/Ftable = 6.758 external validation of QSAR equation, n = 5, r2 = 0.7302, PRESS = 1.798. The best compound is P-01 with the compound reference is PHO-016 (R1: 2-COCH3-Ph and R2: CF3CH2): 3’-[4-(2-acetylphenyl)-(1,2,3-triazol-1-yl)]-3’-deoxythymidine 5’-O-[4-chlorophenyl N-(2,2,2-trifluoroethyl)phosphate] who has IC50: -10.693 and log P: 2.450. The result can be the best suggestion for anti-cervical cancer candidates with better biology activity and can enter the membrane cell.
Title: Designing Derivative Compounds of 4-Chlorophenyloxy N-Alkyl Phosphoramidates as Anti-Cervical Cancer Agents Based on QSAR Model
Description:
Design of 4-chlorophenyloxy n-alkyl phosphoramidates derivative compounds as anti-cervical cancer agents using the QSAR model research was purposed to determine the best QSAR equation from 4-chlorophenyloxy N-alkyl phosphoramidates (3’-[4-fluoroaryl-(1,2,3-triazol-1-yl)]-3’-deoxythymidine) derivative compound and design a new compound of 4-chlorophenyloxy N-alkyl phosphoramidates derivative which has better activity than derivative compounds that synthesized before.
Designing new anti-cervical cancer was done using electronic descriptor and molecular descriptor, which is obtained using DFT/ B3LYP/6-31G calculation.
The linear regression method arranged the best QSAR equation and predicted the IC50.
The best QSAR model to design the anti-cervical cancer compound is log IC50 = -498.
629 + (-69.
645 × qCl) + (-1267.
348 × qC12) + (-25.
627 × qC17) + (-1209.
520 × qO4) + (0.
541 × log P ), with statistic parameter n = 21, r2 = 0.
867, SEE = 0,179, Fcount/Ftable = 6.
758 external validation of QSAR equation, n = 5, r2 = 0.
7302, PRESS = 1.
798.
The best compound is P-01 with the compound reference is PHO-016 (R1: 2-COCH3-Ph and R2: CF3CH2): 3’-[4-(2-acetylphenyl)-(1,2,3-triazol-1-yl)]-3’-deoxythymidine 5’-O-[4-chlorophenyl N-(2,2,2-trifluoroethyl)phosphate] who has IC50: -10.
693 and log P: 2.
450.
The result can be the best suggestion for anti-cervical cancer candidates with better biology activity and can enter the membrane cell.

Related Results

Cervical cancer screening utilization and predictors among eligible women in Ethiopia: A systematic review and meta-analysis
Cervical cancer screening utilization and predictors among eligible women in Ethiopia: A systematic review and meta-analysis
BackgroundDespite a remarkable progress in the reduction of global rate of maternal mortality, cervical cancer has been identified as the leading cause of maternal morbidity and mo...
Improving QSAR model predictions using ensembled heterogenous features
Improving QSAR model predictions using ensembled heterogenous features
Quantitative structure–activity relationship (QSAR) models are widely used computational tools in drug discovery for predicting molecular activities and prioritizing compounds for ...
Improving QSAR model predictions using ensembled heterogenous features
Improving QSAR model predictions using ensembled heterogenous features
Quantitative structure–activity relationship (QSAR) models are widely used computational tools in drug discovery for predicting molecular activities and prioritizing compounds for ...
Cervical Cancer or Cervical Endometriosis – Review and Case Report
Cervical Cancer or Cervical Endometriosis – Review and Case Report
According to cancer death rates for women worldwide, this form of cancer ranks fourth after breast, bronchopulmonary, and colorectal cancer, affecting around 570,000 women annually...
Are Cervical Ribs Indicators of Childhood Cancer? A Narrative Review
Are Cervical Ribs Indicators of Childhood Cancer? A Narrative Review
Abstract A cervical rib (CR), also known as a supernumerary or extra rib, is an additional rib that forms above the first rib, resulting from the overgrowth of the transverse proce...
C/EBPβ expression decreases in cervical cancer and leads to tumorigenesis
C/EBPβ expression decreases in cervical cancer and leads to tumorigenesis
Abstract Background Cervical cancer is currently estimated to be the fourth most common cancer among women worldwide and the leading cause of cancer...
CERVICAL CANCER STATUS, KNOWLEDGE, ATTITUDE AND ASSOCIATED FACTORS AMONG REPRODUCTIVE AGE WOMEN RESIDING IN HARGEISA, SOMALILAND
CERVICAL CANCER STATUS, KNOWLEDGE, ATTITUDE AND ASSOCIATED FACTORS AMONG REPRODUCTIVE AGE WOMEN RESIDING IN HARGEISA, SOMALILAND
Introduction: Cervical cancer results from a Human Papilloma Virus (HPV) infection. Seventy (70%) cervical cancers and pre-cancerous cervical lesions are attributed to HPV types 16...

Back to Top