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Dive into the research topics where Armin Madadkar-Sobhani is active.

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Featured researches published by Armin Madadkar-Sobhani.


International Journal of Biological Macromolecules | 2009

Molecular interaction of human serum albumin with paracetamol: spectroscopic and molecular modeling studies.

Parandis Daneshgar; Ali Akbar Moosavi-Movahedi; Parviz Norouzi; Mohammad Reza Ganjali; Armin Madadkar-Sobhani; Ali Akbar Saboury

The interaction between paracetamol and human serum albumin (HSA) under physiological conditions has been investigated by fluorescence, circular dichroism (CD) and docking. Fluorescence data revealed that the fluorescence quenching of HSA by paracetamol was the result of the formed complex of HSA-paracetamol, and the binding constant (K(a)) and binding number obtained is 1.3 x 10(4) at 298 K and 2, respectively for the primary binding site. Circular dichorism spectra showed the induced conformational changes in HSA by the binding of paracetamol. Moreover, protein-ligand docking study indicated that paracetamols (two paracetamols bind to HSA) bind to residues located in the subdomain IIIA.


Biochimica et Biophysica Acta | 2011

Homology modeling of human CCR5 and analysis of its binding properties through molecular docking and molecular dynamics simulation

Mohsen Shahlaei; Armin Madadkar-Sobhani; Karim Mahnam; Afshin Fassihi; Lotfollah Saghaie; Mahboubeh Mansourian

In this study, homology modeling, molecular docking and molecular dynamics simulation were performed to explore structural features and binding mechanism of some inhibitors of chemokine receptor type 5 (CCR5), and to construct a model for designing new CCR5 inhibitors for preventing HIV attachment to the host cell. A homology modeling procedure was employed to construct a 3D model of CCR5. For this procedure, the X-ray crystal structure of bovine rhodopsin (1F88A) at 2.80Å resolution was used as template. After inserting the constructed model into a hydrated lipid bilayer, a 20ns molecular dynamics (MD) simulation was performed on the whole system. After reaching the equilibrium, twenty-four CCR5 inhibitors were docked in the active site of the obtained model. The binding models of the investigated antagonists indicate the mechanism of binding of the studied compounds to the CCR5 obviously. Moreover, 3D pictures of inhibitor-protein complex provided precious data regarding the binding orientation of each antagonist into the active site of this protein. One additional 20 ns MD simulation was performed on the initial structure of the CCR5-ligand 21 complex, resulted from the previous docking calculations, embedded in a hydrated POPE bilayer to explore the effects of the presence of lipid bilayer in the vicinity of CCR5-ligand complex. This article is part of a Special Issue entitled Protein translocation across or insertion into membranes.


Bioorganic & Medicinal Chemistry | 2013

Design, synthesis and biological evaluation of novel anti-cytokine 1,2,4-triazine derivatives

Mehdi Khoshneviszadeh; Mohammad Hossein Ghahremani; Alireza Foroumadi; Ramin Miri; Omidreza Firuzi; Armin Madadkar-Sobhani; Najmeh Edraki; Maliheh Parsa; Abbas Shafiee

A series of 16 novel 1,2,4-triazine derivatives bearing hydrazone moiety (7a-7p) have been designed, synthesized and evaluated for their activity to inhibit IL-1β and TNF-α production. All compounds are reported for the first time. The chemical structures of all compounds were confirmed by spectroscopic methods and elemental analyzes. Most of the synthesized compounds were proved to have potent anti-cytokine activity and low toxicity on PBMC and MCF-7 cell lines. Compounds 7f, 7k, 7l and 7j presented simultaneously good levels of inhibition of both cytokines. Moreover, compound 7l exhibited good anti-inflammatory effect in carrageenan-induced rat paw edema. The results of Western blotting demonstrated that the anti-cytokine potential of compound 7l is mainly mediated through the inhibition of p38 MAPK signaling pathway. Molecular docking was performed to position compound 7l into p38α binding site in order to explore the potential target. The information of this work might be helpful for the design and synthesis of novel scaffold toward the development of new therapeutic agent to fight against inflammatory diseases.


Chemical Biology & Drug Design | 2011

QSAR Analysis for Some Diaryl‐substituted Pyrazoles as CCR2 Inhibitors by GA‐Stepwise MLR

Lotfollah Saghaie; Mohsen Shahlaei; Afshin Fassihi; Armin Madadkar-Sobhani; Mohammad Bagher Gholivand; Alireza Pourhossein

Quantitative relationships between calculated molecular structure and 26 diaryl‐substituted pyrazoles CCR2 inhibitors were investigated by GA‐stepwise multiple linear regression. In multiple linear regression analysis, the quantitative structure–activity relationship models were constructed by grouping descriptors and also dual selection of variables using genetic algorithm and stepwise selection methods from each group of the pool of all calculated descriptors. The accuracy of the proposed multiple linear regression model was demonstrated using the following evaluation techniques: cross‐validation, validation through an external test set, and Y‐randomization. Furthermore, the domain of applicability that shows the area of reliable predictions was defined. The prediction results were in good agreement with the experimental values.


Journal of Molecular Graphics & Modelling | 2010

Application of partial least squares and radial basis function neural networks in multivariate imaging analysis-quantitative structure activity relationship: study of cyclin dependent kinase 4 inhibitors.

Lotfollah Saghaie; Mohsen Shahlaei; Armin Madadkar-Sobhani; Afshin Fassihi

The detailed application of multivariate image analysis (MIA) method for the evaluation of quantitative structure activity relationship (QSAR) of some cyclin dependent kinase 4 inhibitors is demonstrated. MIA is a type of data mining methods that is based on data sets obtained from 2D images. The purpose of this study is to construct a relationship between pixels of images of investigated compounds as independent and their bioactivities as a dependent variable. Partial least square (PLS) and principal components-radial basis function neural networks (PC-RBFNNs) were developed to obtain a statistical explanation of the activity of the molecules. The performance of developed models were tested by several validation methods such as external and internal tests and also criteria recommended by Tropsha and Roy. The resulted PLS model had a high statistical quality (R2 = 0.991 and R2(CV) = 0.993) for predicting the activity of the compounds. Because of high correlation between values of predicted and experimental activities, MIA-QSAR proved to be a highly predictive approach.


Journal of Chemical Information and Modeling | 2011

Exploring a Model of a Chemokine Receptor/Ligand Complex in an Explicit Membrane Environment by Molecular Dynamics Simulation: The Human CCR1 Receptor

Mohsen Shahlaei; Armin Madadkar-Sobhani; Afshin Fassihi; Lotfollah Saghaie

The seven transmembrane helices G-protein-coupled receptors (GPCRs) form one of the largest superfamilies of signaling proteins found in humans. Homology modeling, molecular docking, and molecular dynamics (MD) simulation were carried out to construct a reliable model for CCR1 as one of the GPCRs and to explore the structural features and the binding mechanism of BX471 as one of the most potent CCR1 inhibitors. In this study, BX471 has been docked into the active site of the CCR1 protein. After docking, one 20 ns MD simulation was performed on the CCR1-ligand complex to explore effects of the presence of lipid membrane in the vicinity of the CCR1-ligand complex. At the end of the MD simulation, a change in the position and orientation of the ligand in the binding site was observed. This important observation indicated that the application of MD simulation after docking of ligands is useful. Explorative runs of molecular dynamics simulation on the receptor-ligand complex revealed that except for Phe85, Phe112, Tyr113, and Ile259, the rest of the residues in the active site determined by docking are changed. The results obtained are in good agreement with most of the experimental data reported by others. Our results show that molecular modeling and rational drug design for chemokine targets is a possible approach.


International Journal of Nanomedicine | 2011

Design, modeling, expression, and chemoselective PEGylation of a new nanosize cysteine analog of erythropoietin

Reza Ahangari Cohan; Armin Madadkar-Sobhani; Hossein Khanahmad; Farzin Roohvand; Mohammad Reza Aghasadeghi; Mohammad Hossein Hedayati; Zahra Barghi; Mehdi Shafiee Ardestani; Davoud Nouri Inanlou; Dariush Norouzian

Background: Recombinant human erythropoietin (rhEPO) is considered to be one of the most pivotal pharmaceutical drugs in the market because of its clinical application in the treatment of anemia-associated disorders worldwide. However, like other therapeutic proteins, it does not have suitable pharmacokinetic properties for it to be administrated at least two to three times per week. Chemoselective cysteine PEGylation, employing molecular dynamics and graphics in in silico studies, can be considered to overcome such a problem. Methods: A special kind of EPO analog was elicited based on a literature review, homology modeling, molecular dynamic simulation, and factors affecting the PEGylation reaction. Then, cDNA of the selected analog was generated by site-directed mutagenesis and subsequently cloned into the expression vector. The construct was transfected to Chinese hamster ovary/dhfr− cells, and highly expressed clones were selected via methotrexate amplification. Ion-immobilized affinity and size exclusion (SE) chromatography techniques were used to purify the expressed analog. Thereafter, chemoselective PEGylation was performed and a nanosize PEGylated EPO was obtained through dialysis. The in vitro biologic assay and in vivo pharmacokinetic parameters were studied. Finally, E31C analog Fourier transform infrared, analytical SE-high-performance liquid chromatography, zeta potential, and size before and after PEGylation were characterized. Results: The findings indicate that a novel nanosize EPO31-PEG has a five-fold longer terminal half-life in rats with similar biologic activity compared with unmodified rhEPO in proliferation cell assay. The results also show that EPO31-PEG size and charge versus unmodified protein was increased in a nanospectrum, and this may be one criterion of EPO biologic potency enhancement. Discussion: This kind of novel engineered nanosize PEGylated EPO has remarkable advantages over rhEPO.


Medicinal Chemistry Research | 2012

QSAR study of some CCR5 antagonists as anti-HIV agents using radial basis function neural network and general regression neural network on the basis of principal components

Mohsen Shahlaei; Armin Madadkar-Sobhani; Afshin Fassihi; Lotfollah Saghaie; Elham Arkan

Quantitative relationships between molecular structures and bioactivities of a set of CCR5 inhibitor derivatives were discovered. We have demonstrated the detailed application of two efficient nonlinear methods, general regression and radial basis function neural networks, for evaluation of quantitative structure–activity relationships of the studied compounds. Components produced by principal component analysis were used as input of the developed nonlinear models. Comparison between predictability of PC-GRNNs and PC-RBFNNs indicated that later method has higher ability to predict the activity of the studied molecules. In order to design novel derivatives of inhibitors with high activity and low side effects, and because experimental and calculated activities of molecules employed in the model development step, shown a good correlation, developed PC-RBFNNs QSAR model was used to calculate inhibitory activities of some suggested compounds.


Journal of Enzyme Inhibition and Medicinal Chemistry | 2013

Computational evaluation of some indenopyrazole derivatives as anticancer compounds; application of QSAR and docking methodologies.

Mohsen Shahlaei; Afshin Fassihi; Lotfollah Saghaie; Elham Arkan; Armin Madadkar-Sobhani; Alireza Pourhossein

A computational procedure was performed on some indenopyrazole derivatives. Two important procedures in computational drug discovery, namely docking for modeling ligand-receptor interactions and quantitative structure activity relationships were employed. MIA-QSAR analysis of the studied derivatives produced a model with high predictability. The developed model was then used to evaluate the bioactivity of 54 proposed indenopyrazole derivatives. In order to confirm the obtained results through this ligand-based method, docking was performed on the selected compounds. An ADME–Tox evaluation was also carried out to search for more suitable compounds. Satisfactory bioactivities and ADME–Tox profiles for two of the compounds, namely 62 and S13, propose that further studies should be performed on such devoted chemical structures.


European Journal of Pharmaceutics and Biopharmaceutics | 2012

Design, modeling, and expression of erythropoietin cysteine analogs in Pichia pastoris: Improvement of mean residence times and in vivo activities through cysteine-specific PEGylation

Ahmad Maleki; Armin Madadkar-Sobhani; Farzin Roohvand; Abdolhossein Rouholamini Najafabadi; Abbas Shafiee; Hossein Khanahmad; Reza Ahangari Cohan; Nabiallah Namvar; H Tajerzadeh

In this study, the low-cost production of recombinant human erythropoietin cysteine analogs (Cys-rhEPOs) from Pichia pastoris and the potential to increase their serum residency and in vivo activity through cysteine-specific PEGylation were investigated. Three-dimensional structures of several Cys-rhEPOs were generated using homology modeling, and three stable Cys-rhEPOs were selected on the basis of model stability in molecular dynamics simulation and surface accessibility of the inserted cysteine. cDNAs encoding Cys-rhEPOs were constructed by site-directed mutagenesis and expressed as secreted proteins in flask cultures of P. pastoris. The selection of highly expressing clones and the optimization of certain culture parameters resulted in protein expression levels of 100-170 mg/l. Purified Cys-rhEPOs were cysteine-specifically PEGylated using 20 kDa and 30 kDa mPEG-maleimides (methoxy polyethylene glycol-maleimides). The E89CEPO analog with the highest (96.6%) cysteine accessibility was conjugated to PEG-polymers with the largest yields (about 80%). In comparison with rhEPO, 30 kDa PEG-E89CEPO demonstrated a significant (approximately 30%) increase in the mean residence time. Whereas the in vitro activities of 30 kDa PEG-E89CEPO were comparable to those of rhEPO, the in vivo activity of this conjugate was more prolonged compared to rhEPO (12 days vs. 7 days). Our results demonstrate that the site-specific PEGylation of Pichia-expressed EPO analogs may be considered as a promising approach for generating cost-effective and long-acting erythropoiesis-stimulating agents.

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