A SAR and QSAR Study of New Artemisinin Compounds with Antimalarial Activity

The Hartree-Fock method and the 6-31G** basis set were employed to calculate the molecular properties of artemisinin and 20 derivatives with antimalarial activity. Maps of molecular electrostatic potential (MEPs) and molecular docking were used to investigate the interaction between ligands and the...

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Main Authors: Cleydson Breno R. Santos, Josinete B. Vieira, Cleison C. Lobato, Lorane I. S. Hage-Melim, Raimundo N. P. Souto, Clarissa S. Lima, Elizabeth V. M. Costa, Davi S. B. Brasil, Williams Jorge C. Macêdo, José Carlos T. Carvalho
Format: Article
Language:English
Published: MDPI AG 2013-12-01
Series:Molecules
Subjects:
SAR
Online Access:http://www.mdpi.com/1420-3049/19/1/367
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spelling doaj-206ee2da914b4435a91fe94a02d833572020-11-24T22:02:17ZengMDPI AGMolecules1420-30492013-12-0119136739910.3390/molecules19010367molecules19010367A SAR and QSAR Study of New Artemisinin Compounds with Antimalarial ActivityCleydson Breno R. Santos0Josinete B. Vieira1Cleison C. Lobato2Lorane I. S. Hage-Melim3Raimundo N. P. Souto4Clarissa S. Lima5Elizabeth V. M. Costa6Davi S. B. Brasil7Williams Jorge C. Macêdo8José Carlos T. Carvalho9Laboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá 68902-280, Amapá, Amazon, BrazilLaboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá 68902-280, Amapá, Amazon, BrazilLaboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá 68902-280, Amapá, Amazon, BrazilLaboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá 68902-280, Amapá, Amazon, BrazilPostgraduate Program in Biotechnology and Biodiversity-Network BIONORTE, Macapá 68902-280, Amapá, Amazon, BrazilLaboratory of Drug Research, School of Pharmaceutical Sciences, Federal University of Amapá, Macapá 68902-280, Amapá, Amazon, BrazilLaboratory of Drug Research, School of Pharmaceutical Sciences, Federal University of Amapá, Macapá 68902-280, Amapá, Amazon, BrazilInstitute of Technology, Federal University of Pará, Av. Augusto Corrêa, 01, Belém 66075-900, Pará, Amazon, BrazilLaboratory of Modeling and Computational Chemistry, Federal University of Amapá, Macapá 68902-280, Amapá, Amazon, BrazilPostgraduate Program in Biotechnology and Biodiversity-Network BIONORTE, Macapá 68902-280, Amapá, Amazon, BrazilThe Hartree-Fock method and the 6-31G** basis set were employed to calculate the molecular properties of artemisinin and 20 derivatives with antimalarial activity. Maps of molecular electrostatic potential (MEPs) and molecular docking were used to investigate the interaction between ligands and the receptor (heme). Principal component analysis and hierarchical cluster analysis were employed to select the most important descriptors related to activity. The correlation between biological activity and molecular properties was obtained using the partial least squares and principal component regression methods. The regression PLS and PCR models built in this study were also used to predict the antimalarial activity of 30 new artemisinin compounds with unknown activity. The models obtained showed not only statistical significance but also predictive ability. The significant molecular descriptors related to the compounds with antimalarial activity were the hydration energy (HE), the charge on the O11 oxygen atom (QO11), the torsion angle O1-O2-Fe-N2 (D2) and the maximum rate of R/Sanderson Electronegativity (RTe+). These variables led to a physical and structural explanation of the molecular properties that should be selected for when designing new ligands to be used as antimalarial agents.http://www.mdpi.com/1420-3049/19/1/367artemisininantimalarial activityHF/6-31G**molecular dockingMEPsSARQSAR
collection DOAJ
language English
format Article
sources DOAJ
author Cleydson Breno R. Santos
Josinete B. Vieira
Cleison C. Lobato
Lorane I. S. Hage-Melim
Raimundo N. P. Souto
Clarissa S. Lima
Elizabeth V. M. Costa
Davi S. B. Brasil
Williams Jorge C. Macêdo
José Carlos T. Carvalho
spellingShingle Cleydson Breno R. Santos
Josinete B. Vieira
Cleison C. Lobato
Lorane I. S. Hage-Melim
Raimundo N. P. Souto
Clarissa S. Lima
Elizabeth V. M. Costa
Davi S. B. Brasil
Williams Jorge C. Macêdo
José Carlos T. Carvalho
A SAR and QSAR Study of New Artemisinin Compounds with Antimalarial Activity
Molecules
artemisinin
antimalarial activity
HF/6-31G**
molecular docking
MEPs
SAR
QSAR
author_facet Cleydson Breno R. Santos
Josinete B. Vieira
Cleison C. Lobato
Lorane I. S. Hage-Melim
Raimundo N. P. Souto
Clarissa S. Lima
Elizabeth V. M. Costa
Davi S. B. Brasil
Williams Jorge C. Macêdo
José Carlos T. Carvalho
author_sort Cleydson Breno R. Santos
title A SAR and QSAR Study of New Artemisinin Compounds with Antimalarial Activity
title_short A SAR and QSAR Study of New Artemisinin Compounds with Antimalarial Activity
title_full A SAR and QSAR Study of New Artemisinin Compounds with Antimalarial Activity
title_fullStr A SAR and QSAR Study of New Artemisinin Compounds with Antimalarial Activity
title_full_unstemmed A SAR and QSAR Study of New Artemisinin Compounds with Antimalarial Activity
title_sort sar and qsar study of new artemisinin compounds with antimalarial activity
publisher MDPI AG
series Molecules
issn 1420-3049
publishDate 2013-12-01
description The Hartree-Fock method and the 6-31G** basis set were employed to calculate the molecular properties of artemisinin and 20 derivatives with antimalarial activity. Maps of molecular electrostatic potential (MEPs) and molecular docking were used to investigate the interaction between ligands and the receptor (heme). Principal component analysis and hierarchical cluster analysis were employed to select the most important descriptors related to activity. The correlation between biological activity and molecular properties was obtained using the partial least squares and principal component regression methods. The regression PLS and PCR models built in this study were also used to predict the antimalarial activity of 30 new artemisinin compounds with unknown activity. The models obtained showed not only statistical significance but also predictive ability. The significant molecular descriptors related to the compounds with antimalarial activity were the hydration energy (HE), the charge on the O11 oxygen atom (QO11), the torsion angle O1-O2-Fe-N2 (D2) and the maximum rate of R/Sanderson Electronegativity (RTe+). These variables led to a physical and structural explanation of the molecular properties that should be selected for when designing new ligands to be used as antimalarial agents.
topic artemisinin
antimalarial activity
HF/6-31G**
molecular docking
MEPs
SAR
QSAR
url http://www.mdpi.com/1420-3049/19/1/367
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