Dataset Information

Synthesis, bioactivity, 3D-QSAR studies of novel dibenzofuran derivatives as PTP-MEG2 inhibitors.

ABSTRACT: PTP-MEG2 plays a critical role in the diverse cell signalling processes, so targeting PTP-MEG2 is a promising strategy for various human diseases treatments. In this study, a series of novel dibenzofuran derivatives was synthesized and assayed for their PTP-MEG2 inhibitory activities. 10a with highest inhibitory activity (320 nM) exhibited significant selectivity for PTP-MEG2 over its close homolog SHP2, CDC25 (IC50 > 50 ?M). By means of the powerful ''HipHop'' technique, a 3D-QSAR study was carried out to explore structure activity relationship of these molecules. The generated pharmacophore model revealed that the one RA, three Hyd, and two HBA features play an important role in binding to the active site of the target protein-PTP-MEG2. Docking simulation study indicated that 10a achieved its potency and specificity for PTP-MEG2 by targeting unique nearby peripheral binding pockets and the active site. The absorption, distribution, metabolism and excretion (ADME) predictions showed that the 11 compounds hold high potential to be novel lead compounds for targeting PTP-MEG2. Our findings here can provide a new strategy or useful insights for designing the effective PTP-MEG2 inhibitors.

SUBMITTER: Ma Y

PROVIDER: S-EPMC5503546 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Synthesis, bioactivity, 3D-QSAR studies of novel dibenzofuran derivatives as PTP-MEG2 inhibitors.

Ma Ying Y Wei Hui-Yu HY Zhang Yu-Ze YZ Jin Wen-Yan WY Li Hong-Lian HL Zhou Hui H Cheng Xian-Chao XC Wang Run-Ling RL

Oncotarget 20170601 24

PTP-MEG2 plays a critical role in the diverse cell signalling processes, so targeting PTP-MEG2 is a promising strategy for various human diseases treatments. In this study, a series of novel dibenzofuran derivatives was synthesized and assayed for their PTP-MEG2 inhibitory activities. 10a with highest inhibitory activity (320 nM) exhibited significant selectivity for PTP-MEG2 over its close homolog SHP2, CDC25 (IC50 > 50 μM). By means of the powerful ''HipHop'' technique, a 3D-QSAR study was car ...[more]

PMID: 28388567

Similar Datasets

Project description:The presence of alkaline phosphatases has been observed in several species and has been known to play a crucial role in various biological functions. Higher expressions of alkaline phosphatase have been found in several multifactorial disorders and cancer patients, which has led it to be an interesting target for drug discovery. A strong structural similarity exists between intestinal alkaline phosphatases (IAPs) and tissue-nonspecific alkaline phosphatases (TNAPs), which has led to the discovery of only a few selective inhibitors. Therefore, a series of 22 derivatives of 6-(chloromethyl)-4-(4-hydroxyphenyl)-2-oxo-1,2,3,4-tetrahydropyrimidine-5-carboxylate (1) and ethyl 6-(chloromethyl)-4-(2-hydroxyphenyl)-2-oxo-1,2,3,4-tetrahydropyrimidine-5-carboxylate (2) were synthesized to evaluate the anticancer potential of these compounds against breast cancer. The compounds were characterized through spectral and elemental analyses. The inhibitory effect of dihydropyrimidinone derivatives on alkaline phosphatases was evaluated using the calf alkaline phosphatase assay. The antioxidant activity of these compounds was performed to study the radical scavenging effect. In silico molecular docking and molecular dynamic simulations were performed to elucidate the binding mode of active compounds. Moreover, the two-dimensional qualitative-structure-activity relationship (2D-QSAR) was performed to study the structural requirements for enzyme inhibition. The calf alkaline phosphatase inhibitory assay revealed significant inhibition of the enzyme by compound 4d with IC50 1.27 μM at 0.1 mM concentration as compared to standard KH2PO4 having IC50 2.80 μM. The compounds 4f, 4e, and 4i also showed very good inhibition with IC50 values of 2.502, 2.943, and 2.132 μM, respectively, at the same concentration. The antioxidant assay revealed efficient radical scavenging activity of compounds 4f, 4e, and 4g at 100 μg/mL with IC50 values of 0.48, 0.61, and 0.75 μg/mL, respectively. The molecular docking and simulation studies revealed efficient binding of active compounds in the active binding site of the target enzyme. The final QSAR equation revealed good predictivity and statistical validation having R 2 = 0.958 and Q 2 = 0.903, respectively, for the generated model. The compound 4d showed the highest inhibitory activity with stable binding modes acting as a future lead for identifying alkaline phosphatase inhibitors. The molecular simulations suggested the stable binding of this compound, and the QSAR studies revealed the importance of autocorrelated descriptors in the inhibition of alkaline phosphatase. The investigated compounds may serve as potential pharmacophores for potent and selective alkaline phosphatase inhibitors. We intend to further investigate the biological activities of these compounds as alkaline phosphatase inhibitors.

Project description:Influenza virus disease is one of the most infectious diseases responsible for many human deaths, and the high mutability of the virus causes drug resistance effects in recent times. As such, it became necessary to explore more inhibitors that could avert future influenza pandemics. The present research utilized some in-silico modelling concepts such as 2D-QSAR, 3D-QSAR, molecular docking simulation, and ADMET predictions on some 5-benzyl-4-thiazolinone derivatives as influenza neuraminidase (NA) inhibitors. The 2D-QSAR modelling results revealed GFA-MLR ( Rtrain2 =0.8414, Q2 = 0.7680) and GFA-ANN ( Rtrain 2 =0.8754, Q2 = 0.8753) models with the most relevant descriptors (MATS3i, SpMax5_Bhe, minsOH and VE3_D) for predicting the inhibitory activities of the molecules which has passed the global criteria of accepting QSAR models. The results of the 3D-QSAR modelling results showed that CoMFA_ES ( Rtrain 2 =0.9030, Q2 = 0.5390) and CoMSIA_EA ( Rtrain2 =0.880, Q2 = 0.547) models are having good predicting ability among other developed models. The molecules were virtually screened via molecular docking simulation with the active site of NA protein receptor (pH1N1) which confirms their resilient potency when compared with zanamivir standard drug. Molecule 11 as the most potent molecule formed more H-bond interactions with the key residues such as TRP178, ARG152, ARG292, ARG371, and TYR406 that triggered the catalytic reactions for NA inhibition. Furthermore, six (6) molecules (9, 10, 11, 17, 22, and 31) with relatively high inhibitory activities and docking scores were identified as the possible leads for in-silico exploration of novel NA inhibitors. The drug-likeness and ADMET predictions of the lead molecules revealed non-violation of Lipinski's rule and good pharmacokinetic profiles respectively, which are important guidelines for rational drug design. Hence, the outcome of this study overlaid a solid foundation for the in-silico design and exploration of novel NA inhibitors with improved potency.

Dataset Information

Synthesis, bioactivity, 3D-QSAR studies of novel dibenzofuran derivatives as PTP-MEG2 inhibitors.

Publications

Synthesis, bioactivity, 3D-QSAR studies of novel dibenzofuran derivatives as PTP-MEG2 inhibitors.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets