QSAR, Molecular Docking and protein ligand interaction fingerprint studies of N-phenyl dichloroacetamide derivatives as anticancer agents

Dichloroacetate (DCA) is a pyruvate mimetic compound that stimulates the activity of the enzyme pyruvate dehydrogenase (PDH) through inhibition of the enzyme pyruvate dehydrogenase kinases (PDK1-4). DCA works by turning on the apoptosis which is suppressed in tumor cells, hence let them to die on th...

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Main Authors: Masood Fereidoonnezhad, Zeinab Faghih, Elham Jokar, Ayyub Mojaddami, Zahra Rezaei, Mehdi Khoshneviszadeh
Format: Article
Language:English
Published: Shiraz University of Medical Sciences 2016-06-01
Series:Trends in Pharmaceutical Sciences
Subjects:
Online Access:https://tips.sums.ac.ir/article_42195_072396b245b96fd805158616da82a912.pdf
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spelling doaj-e5921548723041b4987e4d093fe4db652021-07-14T06:16:42ZengShiraz University of Medical SciencesTrends in Pharmaceutical Sciences2423-56522016-06-012242195QSAR, Molecular Docking and protein ligand interaction fingerprint studies of N-phenyl dichloroacetamide derivatives as anticancer agentsMasood FereidoonnezhadZeinab FaghihElham JokarAyyub MojaddamiZahra RezaeiMehdi KhoshneviszadehDichloroacetate (DCA) is a pyruvate mimetic compound that stimulates the activity of the enzyme pyruvate dehydrogenase (PDH) through inhibition of the enzyme pyruvate dehydrogenase kinases (PDK1-4). DCA works by turning on the apoptosis which is suppressed in tumor cells, hence let them to die on their own. Here, in this paper a series of DCA analogues were applied to quantitative structure–activity relationship (QSAR) analysis. A collection of chemometrics methods such as multiple linear regression (MLR), factor analysis–based multiple linear regression (FA-MLR), principal component regression (PCR), simple Free-Wilson analysis (FWA) and partial least squared combined with genetic algorithm for variable selection (GA-PLS) were conducted to make relations between structural features and cytotoxic activities of a variety of DCA derivatives. The best multiple linear regression equation obtained from genetic algorithms partial least squares which predict 91% of variances. On the basis of the produced model, an in silico-screening study was also employed and new potent lead compounds based on new structural patterns were suggested. Docking studies of these compounds were also investigated and promising results were obtained. The docking results were also conducted to protein ligand interaction fingerprints (PLIF) studies using self-organizing map (SOM) in order to evaluate the predictive ability in suggesting new potent compounds and some compounds were introduced as a good candidates for synthesis.https://tips.sums.ac.ir/article_42195_072396b245b96fd805158616da82a912.pdfin silico screeningmolecular dockingn-phenyl dichloroacetamideprotein ligand interaction fingerprintsqsar
collection DOAJ
language English
format Article
sources DOAJ
author Masood Fereidoonnezhad
Zeinab Faghih
Elham Jokar
Ayyub Mojaddami
Zahra Rezaei
Mehdi Khoshneviszadeh
spellingShingle Masood Fereidoonnezhad
Zeinab Faghih
Elham Jokar
Ayyub Mojaddami
Zahra Rezaei
Mehdi Khoshneviszadeh
QSAR, Molecular Docking and protein ligand interaction fingerprint studies of N-phenyl dichloroacetamide derivatives as anticancer agents
Trends in Pharmaceutical Sciences
in silico screening
molecular docking
n-phenyl dichloroacetamide
protein ligand interaction fingerprints
qsar
author_facet Masood Fereidoonnezhad
Zeinab Faghih
Elham Jokar
Ayyub Mojaddami
Zahra Rezaei
Mehdi Khoshneviszadeh
author_sort Masood Fereidoonnezhad
title QSAR, Molecular Docking and protein ligand interaction fingerprint studies of N-phenyl dichloroacetamide derivatives as anticancer agents
title_short QSAR, Molecular Docking and protein ligand interaction fingerprint studies of N-phenyl dichloroacetamide derivatives as anticancer agents
title_full QSAR, Molecular Docking and protein ligand interaction fingerprint studies of N-phenyl dichloroacetamide derivatives as anticancer agents
title_fullStr QSAR, Molecular Docking and protein ligand interaction fingerprint studies of N-phenyl dichloroacetamide derivatives as anticancer agents
title_full_unstemmed QSAR, Molecular Docking and protein ligand interaction fingerprint studies of N-phenyl dichloroacetamide derivatives as anticancer agents
title_sort qsar, molecular docking and protein ligand interaction fingerprint studies of n-phenyl dichloroacetamide derivatives as anticancer agents
publisher Shiraz University of Medical Sciences
series Trends in Pharmaceutical Sciences
issn 2423-5652
publishDate 2016-06-01
description Dichloroacetate (DCA) is a pyruvate mimetic compound that stimulates the activity of the enzyme pyruvate dehydrogenase (PDH) through inhibition of the enzyme pyruvate dehydrogenase kinases (PDK1-4). DCA works by turning on the apoptosis which is suppressed in tumor cells, hence let them to die on their own. Here, in this paper a series of DCA analogues were applied to quantitative structure–activity relationship (QSAR) analysis. A collection of chemometrics methods such as multiple linear regression (MLR), factor analysis–based multiple linear regression (FA-MLR), principal component regression (PCR), simple Free-Wilson analysis (FWA) and partial least squared combined with genetic algorithm for variable selection (GA-PLS) were conducted to make relations between structural features and cytotoxic activities of a variety of DCA derivatives. The best multiple linear regression equation obtained from genetic algorithms partial least squares which predict 91% of variances. On the basis of the produced model, an in silico-screening study was also employed and new potent lead compounds based on new structural patterns were suggested. Docking studies of these compounds were also investigated and promising results were obtained. The docking results were also conducted to protein ligand interaction fingerprints (PLIF) studies using self-organizing map (SOM) in order to evaluate the predictive ability in suggesting new potent compounds and some compounds were introduced as a good candidates for synthesis.
topic in silico screening
molecular docking
n-phenyl dichloroacetamide
protein ligand interaction fingerprints
qsar
url https://tips.sums.ac.ir/article_42195_072396b245b96fd805158616da82a912.pdf
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