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1.
J Biomol Struct Dyn ; 38(16): 4687-4709, 2020 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31674282

RESUMO

Models validation in QSAR, pharmacophore, docking and others can ensure the accuracy and reliability of future predictions in design and selection of molecules with biological activity. In this study, pyriproxyfen was used as a pivot/template to search the database of the Maybridge Database for potential inhibitors of the enzymes acetylcholinesterase and juvenile hormone as well. The initial virtual screening based on the 3D shape resulted in 2000 molecules with Tanimoto index ranging from 0.58 to 0.88. A new reclassification was performed on the overlapping of positive and negative charges, which resulted in 100 molecules with Tanimoto's electrostatic score ranging from 0.627 to 0.87. Using parameters related to absorption, distribution, metabolism and excretion and the pivot molecule, the molecules selected in the previous stage were evaluated regarding these criteria, and 21 were then selected. The pharmacokinetic and toxicological properties were considered and for 12 molecules, the DEREK software not fired any alert of toxicity, which were thus considered satisfactory for prediction of biological activity using the Web server PASS. In the molecular docking with insect acetylcholinesterase, the Maybridge3_002654 molecule had binding affinity of -11.1 kcal/mol, whereas in human acetylcholinesterase, the Maybridge4_001571molecule show in silico affinity of -10.2 kcal/mol, and in the juvenile hormone, the molecule MCULE-8839595892 show in silico affinity value of -11.6 kcal/mol. Subsequent long-trajectory molecular dynamics studies indicated considerable stability of the novel molecules compared to the controls.AbbreviationsQSARquantitative structure-activity relationshipsPASSprediction of activity spectra for substancesCommunicated by Ramaswamy H. Sarma.


Assuntos
Inseticidas , Simulação de Dinâmica Molecular , Acetilcolinesterase , Humanos , Hormônios Juvenis , Simulação de Acoplamento Molecular , Relação Quantitativa Estrutura-Atividade , Reprodutibilidade dos Testes
2.
Molecules ; 24(16)2019 Aug 14.
Artigo em Inglês | MEDLINE | ID: mdl-31416180

RESUMO

Leukemias are neoplasms that affect hematopoietic cells, which are developed by genetic alterations (mutations) that lead to the loss of proliferation control mechanisms (maturation and/or cell death). The α4ß1 integrin receptor is a therapeutic target for inflammation, autoimmune diseases and lymphoid tumors. This study was carried out to search through the antagonists-based virtual screening for α4ß1 receptor. Initially, seventeen (17) structures were selected (based on the inhibitory activity values, IC50) and the structure with the best value was chosen as the pivot. The pharmacophoric pattern was determined from the online PharmaGist server and resulted in a model of score value equal to 97.940 with 15 pharmacophoric characteristics that were statistically evaluated via Pearson correlations, principal component analysis (PCA) and hierarchical clustering analysis (HCA). A refined model generated four pharmacophoric hypotheses totaling 1.478 structures set of Zinc_database. After, the pharmacokinetic, toxicological and biological activity predictions were realized comparing with pivot structure that resulted in five (ZINC72088291, ZINC68842860, ZINC14365931, ZINC09588345 and ZINC91247798) structures with optimal in silico predictions. Therefore, future studies are needed to confirm antitumor potential activity of molecules selected this work with in vitro and in vivo assays.


Assuntos
Antineoplásicos/química , Antineoplásicos/farmacologia , Simulação por Computador , Ensaios de Seleção de Medicamentos Antitumorais , Peptídeos/química , Peptídeos/farmacologia , Análise por Conglomerados , Ensaios de Seleção de Medicamentos Antitumorais/métodos , Humanos , Modelos Moleculares , Conformação Molecular , Estrutura Molecular , Relação Estrutura-Atividade
3.
Molecules ; 19(8): 10670-97, 2014 Jul 24.
Artigo em Inglês | MEDLINE | ID: mdl-25061720

RESUMO

The Density Functional Theory (DFT) method and the 6-31G** basis set were employed to calculate the molecular properties of artemisinin and 20 derivatives with different degrees of cytotoxicity against the human hepatocellular carcinoma HepG2 line. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) were employed to select the most important descriptors related to anticancer activity. The significant molecular descriptors related to the compounds with anticancer activity were the ALOGPS_log, Mor29m, IC5 and GAP energy. The Pearson correlation between activity and most important descriptors were used for the regression partial least squares (PLS) and principal component regression (PCR) models built. The regression PLS and PCR were very close, with variation between PLS and PCR of R(2) = ± 0.0106, R(2)(ajust) = ± 0.0125, s = ± 0.0234, F(4,11) = ± 12.7802, Q(2) = ± 0.0088, SEV = ± 0.0132, PRESS = ± 0.4808 and SPRESS = ± 0.0057. These models were used to predict the anticancer activity of eight new artemisinin compounds (test set) with unknown activity, and for these new compounds were predicted pharmacokinetic properties: human intestinal absorption (HIA), cellular permeability (PCaCO2), cell permeability Maden Darby Canine Kidney (PMDCK), skin permeability (P(Skin)), plasma protein binding (PPB) and penetration of the blood-brain barrier (C(Brain/Blood)), and toxicological: mutagenicity and carcinogenicity. The test set showed for two new artemisinin compounds satisfactory results for anticancer activity and pharmacokinetic and toxicological properties. Consequently, further studies need be done to evaluate the different proposals as well as their actions, toxicity, and potential use for treatment of cancers.


Assuntos
Antineoplásicos/química , Antineoplásicos/farmacologia , Artemisininas/química , Artemisininas/farmacologia , Relação Quantitativa Estrutura-Atividade , Animais , Antineoplásicos/farmacocinética , Antineoplásicos/toxicidade , Artemisininas/farmacocinética , Artemisininas/toxicidade , Linhagem Celular , Linhagem Celular Tumoral , Análise por Conglomerados , Células Hep G2 , Humanos , Estrutura Molecular , Permeabilidade , Distribuição Tecidual
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