Discovery of promising FtsZ inhibitors by E-pharmacophore, 3D-QSAR,molecular docking study,and molecular dynamics simulation

Filamentous temperature-sensitive protein Z (FtsZ), playing a key role in bacterial cell division, is regarded as a promising target for the design of antimicrobial agent. This study is looking for potential high-efficiency FtsZ inhibitors. Ligand-based pharmacophore and E-pharmacophore, virtual screening and molecular docking were used to detect promising FtsZ inhibitors, and molecular dynamics simulation was used to study the stability of protein-ligand complexes in this paper. Sixty-three inhibitors from published literatures with pIC₅₀ ranging from 2.483 to 5.678 were collected to develop ligand-based pharmacophore model. 4DXD bound with 9PC was selected to develop the E-pharmacophore model. The pharmacophore models validated by test set method and decoy set were employed for virtual screening to exclude inactive compounds against ZINC database. After molecular docking, ADME analysis, IFD docking and MM-GBSA, 8 hits were identified as potent FtsZ inhibitors. A 50?ns molecular dynamics simulation was implemented on the compounds to assess the stability between potent inhibitors and FtsZ. The results indicated that the candidate compounds had a high docking score and were strongly combined with FtsZ by forming hydrogen bonding interactions with key amino acid residues, and van der Waals forces and hydrophobic interactions had significant contribution to the stability of the binding. Molecular dynamics simulation results showed that the protein-ligand compounds performed well in both the stability and flexibility of the simulation process.     

Atomic insight into designed carbamate-based derivatives as acetylcholine esterase (AChE) inhibitors: a computational study by multiple molecular docking and molecular dynamics simulation

Over 100 variants have been designed and studied, using multiple docking methods such as Autodock Vina, ArgusLab, Molegro Virtual Docker, and Hex-Cuda, to study the effect of alteration in the structure of carbamate-based acetylcholyne esterase (AChE) inhibitors. Sixteen selected systems were then subjected to 14 ns molecular dynamics (MD) simulations. Results from all the docking methods are in agreement. Variants that involved biphenyl substituents possess the most negative binding energies in the ?37.64 to ?39.31 kJ mol^?1 range due to their π–π interactions with AChE aromatic residues. The root mean square deviation values showed that all of these components achieved equilibration after 6 ns. Gyration radius (R_g) and solvent accessibility surface area were calculated to further investigate the AChE conformational changes in the presence of these components. MD simulation results suggested that these components might interact with AChE, possibly with no major changes in AChE secondary and tertiary structures.     

New potential inhibitors of mTOR: a computational investigation integrating molecular docking,virtual screening and molecular dynamics simulation

The mTOR (mammalian or mechanistic Target Of Rapamycin), a complex metabolic pathway that involves multiple steps and regulators, is a major human metabolic pathway responsible for cell growth control in response to multiple factors and that is dysregulated in various types of cancer. The classical inhibition of the mTOR pathway is performed by rapamycin and its analogs (rapalogs). Considering that rapamycin binds to an allosteric site and performs a crucial role in the inhibition of the mTOR complex without causing the deleterious side effects common to ATP-competitive inhibitors, we employ ligand-based drug design strategies, such as virtual screening methodology, computational determination of ADME/Tox properties of selected molecules, and molecular dynamics in order to select molecules with the potential to become non-ATP-competitive inhibitors of the mTOR enzymatic complex. Our findings suggest five novel potential mTOR inhibitors, with similar or better properties than the classic inhibitor complex, rapamycin.     

Exploration of potential RSK2 inhibitors by pharmacophore modelling,structure-based 3D-QSAR,molecular docking study and molecular dynamics simulation

Abstract

The p90 ribosomal s6 kinase 2 (RSK2) is a promising target because of its over expression and activation in human cancer cells and tissues. Over the last few years, significant efforts have been made in order to develop RSK2 inhibitors to treat myeloma, prostatic cancer, skin cancer and etc., but with limited success so far. In this paper, pharmacophore modelling, molecular docking study and molecular dynamics (MD) simulation have been performed to explore the novel inhibitors of RSK2. Pharmacophore models were developed by 95 molecules having pIC₅₀ ranging from 4.577 to 9.000. The pharmacophore model includes one hydrogen bond acceptor (A), one hydrogen bond donor (D), one hydrophobic feature (H) and one aromatic ring (R). It is the best pharmacophore hypothesis that has the highest correlation coefficient (R² = 0.91) and cross validation coefficient (Q² = 0.71) at 5 component PLS factor. It was evaluated using enrichment analysis and the best model was used for virtual screening. The constraints used in this study were docking score, ADME properties, binding free energy estimates and IFD Score to screen the database. Ultimately, 12 hits were identified as potent and novel RSK2 inhibitors. A 15 ns molecular dynamics (MD) simulation was further employed to validate the reliability of the docking results.     

In silico approaches towards understanding CALB using molecular dynamics simulation and docking

Candida antarctica lipase B (CALB), a serine protease, is involved in the hydrolysis of substrates at the aqueous lipid interface. There is a significant role played by the helices in serine proteases including acting as a flap covering the active site region. The α5 and α10 helices in the path to the active site of CALB appear to play an important role in the region. This study investigates these helices by mutational studies, docking and molecular dynamics simulations. The mutations were selected based on their proximity to the active site and their presence at the α10-helix in the path of the active site. Molecular dynamics studies reveal the flexibility, stability and hydrogen bonding ability of the α5 helix. The radius of gyration (R _g) clearly showed the compactness of the structure. Docking studies show the changes occurring at the protein's binding site before and after 15 ns of simulation. Results from the study demonstrate the importance of the two helices α5 and α10 in the stability of CALB.     

Structure prediction and R115866 binding study of human CYP26A1: homology modelling,fold recognition,molecular docking and MD simulations

Two three-dimensional (3D) models of human cytochrome P450 26A1 (CYP26A1) were constructed using the programs Modeller and Sybyl-GeneFold, respectively. After refinement by molecular mechanics and molecular dynamics (MD) simulations, the two models were validated by structure analysis-validation online server. Subsequently, a flexible docking study was performed on the model constructed by GeneFold with the potent and specific inhibitor R115866 to examine the enzyme–inhibitor interactions. From the docking results, we can see R115866 interacts with amino acid residues at the active site by multiple hydrophobic interactions including the side chains of His111, Trp112, Ser115, Val116, Leu125, Ser126, Leu221, Phe222, Glu296, Phe299, Gly300, Glu303, Thr304, Pro371 and the cofactor heme. Trp112 and Thr304 form hydrogen bonds with R115866 and play important roles in stabilising the complex. This constructed CYP26A1 model may provide an opportunity to understand the action mode of the enzyme and could be useful in designing novel retinoic acid metabolism blocking agents (RAMBAs).     

Prediction,docking study and molecular simulation of 3D DNA aptamers to their targets of endocrine disrupting chemicals

Abstract

Typical endocrine disrupting chemicals, including BPA (Bisphenol A), E₂ (17-β-Estradiol) and PCB 72 (polychlorinated biphenyl 72), are commonly and widely present in the environment with good chemical stability that are difficult to decompose in vitro and in vivo. Most of the high-qualified antibodies are required as the key biomaterials to fabricate the immunosensor for capturing and detecting. As an ideal alternative, the short-chain oligonucleotides (aptamer) are essentially and effectively employed with the advantages of small size, chemical stability and high effectiveness for monitoring these environmental contaminants. However, the molecular interaction, acting site and mode are still not well understood. In this work, we explored the binding features of the aptamers with their targeting ligands. The molecular dynamics simulations were performed on the aptamer–ligand complex systems. The stability of each simulation system was evaluated based on its root-mean-square deviation. The affinities of these proposed ligands and the predicted binding sites are analyzed. According to the binding energy analysis, the affinities between ligands and aptamers and the stability of the systems are BPA?>?PCB 72 >E₂. Trajectory analysis for these three complexes indicated that these three ligands were able to steadily bind with aptamers at docking site from 0 to 50?ns and contributed to alteration of conformation of aptamers.     

Capecitabine as a minor groove binder of DNA: molecular docking,molecular dynamics,and multi-spectroscopic studies

The interaction mechanism and binding mode of capecitabine with ctDNA was extensively investigated using docking and molecular dynamics simulations, fluorescence and circular dichroism (CD) spectroscopy, DNA thermal denaturation studies, and viscosity measurements. The possible binding mode and acting forces on the combination between capecitabine and DNA had been predicted through molecular simulation. Results indicated that capecitabine could relatively locate stably in the G-C base-pairs-rich DNA minor groove by hydrogen bond and several weaker nonbonding forces. Fluorescence spectroscopy and fluorescence lifetime measurements confirmed that the quenching was static caused by ground state complex formation. This phenomenon indicated the formation of a complex between capecitabine and ctDNA. Fluorescence data showed that the binding constants of the complex were approximately 2 × 10⁴ M^?1. Calculated thermodynamic parameters suggested that hydrogen bond was the main force during binding, which were consistent with theoretical results. Moreover, CD spectroscopy, DNA melting studies, and viscosity measurements corroborated a groove binding mode of capecitabine with ctDNA. This binding had no effect on B-DNA conformation.     

Molecular docking and dynamics simulation analyses unraveling the differential enzymatic catalysis by plant and fungal laccases with respect to lignin biosynthesis and degradation

Laccase, widely distributed in bacteria, fungi, and plants, catalyzes the oxidation of wide range of compounds. With regards to one of the important physiological functions, plant laccases are considered to catalyze lignin biosynthesis while fungal laccases are considered for lignin degradation. The present study was undertaken to explain this dual function of laccases using in-silico molecular docking and dynamics simulation approaches. Modeling and superimposition analyses of one each representative of plant and fungal laccases, namely, Populus trichocarpa and Trametes versicolor, respectively, revealed low level of similarity in the folding of two laccases at 3D levels. Docking analyses revealed significantly higher binding efficiency for lignin model compounds, in proportion to their size, for fungal laccase as compared to that of plant laccase. Residues interacting with the model compounds at the respective enzyme active sites were found to be in conformity with their role in lignin biosynthesis and degradation. Molecular dynamics simulation analyses for the stability of docked complexes of plant and fungal laccases with lignin model compounds revealed that tetrameric lignin model compound remains attached to the active site of fungal laccase throughout the simulation period, while it protrudes outwards from the active site of plant laccase. Stability of these complexes was further analyzed on the basis of binding energy which revealed significantly higher stability of fungal laccase with tetrameric compound than that of plant. The overall data suggested a situation favorable for the degradation of lignin polymer by fungal laccase while its synthesis by plant laccase.     

Molecular dynamics simulation,binding free energy calculation and molecular docking of human D-amino acid oxidase (DAAO) with its inhibitors

Schizophrenia is a mental illness; most affected people live in developing countries, and neither appropriate treatment nor commercial drugs are currently available. One possibility is to inhibit human-d-amino acid oxidase (h-DAAO). In this study, molecular dynamic simulations of the monomer, dimer and tetramer forms of h-DAAO complexed with the inhibitor 3-hydroxyquinolin-2(1H)-one(2) were performed. Seven residues, Leu51, Gln53, Leu215, Tyr228, Ile230, Arg283 and Gly313, were identified as essential for interacting with the inhibitor. Molecular docking of h-DAAO with pyrrole, quinoline and kojic acid derivatives, representing 69 known or potential h-DAAO inhibitors, was also performed. The results indicated that the activity of the inhibitor can be improved by modifying the compounds to have a substituent group capable of interacting with the side chain of Tyr228. Van der Waals interactions of the inhibitor with the hydrophobic pocket of h-DAAO and electrostatic interactions or H-bonds with Arg283 and Gly313 were important elements in determining the efficiency of the inhibitor. These results provide information on the interaction between h-DAAO and its inhibitors at the molecular level and can aid in the design of novel inhibitors against h-DAAO for new drug development in the treatment of schizophrenia.     

Study on the binding mode of a pyrrolotriazin derivative with JAK2 by docking and MD simulation

The pyrrolotriazin derivative 2-(4-(4-((7-(3-(N-methylmethylsulfonamido)phenyl)pyrrolo [2,1-f][1,2,4]triazin-2-yl)amino)phenyl)piperidin-1-yl)acetamide (PPA) is a potential Janus kinase 2 (JAK2) inhibitor. The binding mode between PPA and JAK2 was investigated by using a combined method of docking, molecular dynamics (MD) simulation and binding free-energy calculation. The docking calculations preliminarily indicated that there were two possible binding modes 1 and 2; MD simulations and binding free-energy calculations identified that binding mode 1 was more stable and favourable, with the lower MM-PBSA binding free energy of ?34.00?±?0.17?kcal/mol. Moreover, some valuable binding information is revealed as follows: the inhibitor PPA is suitably located at the ATP-binding site of JAK2 and the hydrophobic interaction plays an essential role. PPA not only interacts with residues Leu855, Val863, Ala880, Tyr931, Leu932 and Leu983 via hydrophobic interaction but also interacts with Ser936 and Asp994 by hydrogen bonds. These two factors are advantageous for PPA to strongly bind to JAK2. These results help to understand the action mechanisms and designing new compounds with a higher affinity to JAK2.     

Discover potential inhibitors for PFKFB3 using 3D-QSAR,virtual screening,molecular docking and molecular dynamics simulation

Abstract

The 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase-3 (PFKFB3) is a master regulator of glycolysis in cancer cells by synthesizing fructose-2,6-bisphosphate (F-2,6-BP), a potent allosteric activator of phosphofructokinase-1 (PFK-1), which is a rate-limiting enzyme of glycolysis. PFKFB3 is an attractive target for cancer treatment. It is valuable to discover promising inhibitors by using 3D-QSAR pharmacophore modeling, virtual screening, molecular docking and molecular dynamics simulation. Twenty molecules with known activity were used to build 3D-QSAR pharmacophore models. The best pharmacophore model was ADHR called Hypo1, which had the highest correlation value of 0.98 and the lowest RMSD of 0.82. Then, the Hypo1 was validated by cost value method, test set method and decoy set validation method. Next, the Hypo1 combined with Lipinski's rule of five and ADMET properties were employed to screen databases including Asinex and Specs, total of 1,048,159 molecules. The hits retrieved from screening were docked into protein by different procedures including HTVS, SP and XP. Finally, nine molecules were picked out as potential PFKFB3 inhibitors. The stability of PFKFB3-lead complexes was verified by 40?ns molecular dynamics simulation. The binding free energy and the energy contribution of per residue to the binding energy were calculated by MM-PBSA based on molecular dynamics simulation.     

Determination of potential selective inhibitors for ROCKI and ROCKII isoforms with molecular modeling techniques: structure based docking,ADMET and molecular dynamics simulation

Rho-associated protein kinases (ROCKs) are a member of the serine/threonine protein kinase family and potential therapeutic target for various diseases. This enzyme has two isoforms, Rho-associated protein kinase I (ROCKI) and Rho-associated protein kinase II (ROCKII). They share an overall 65% homology in all amino acid sequence and 92% homology in kinase domains. Since, the kinase domains of ROCKI and ROCKII are highly conserved and similar, the discovery and design of isoform-selective inhibitors are more challenging. Thus, most currently available agents that is against ROCKs exhibit low selectivity and severe side effects. Therefore, this study aimed to elucidate the interaction of compounds that indicated high potential in experimental studies against ROCKI and ROCKII enzymes in the molecular level with molecular modeling techniques. Firstly, we determined the interaction property of catalytic sites of the ROCKs by analyzing with molecular docking. Based on these results, the best ligands (50 compounds) corresponding to experimental studies were selected, and then absorption, distribution, metabolism and excretion – toxicity (ADMET) analysis of these compounds were implemented. According to these study results, the compound 40 for ROCKI and the compound 50 for ROCKII were identified as selective and highly potent inhibitors. And finally, molecular dynamics (MD) simulations were performed for the stability of ROCKs with identified compounds. In the light of this study, it will be possible to treat diseases that ROCKs have a role by developing more effective and specific ROCK inhibitors.

Communicated by Ramaswamy H. Sarma     

Binding mode of chitin and TLR2 via molecular docking and dynamics simulation

Innate immunity is an important part of immune system, providing immediate defence for the host against various infections through phagocytes. Toll-like receptors (TLRs) are major proteins expressed on the cell membrane known as pattern recognition receptors (PRR) that recognise non-self molecules (pathogen-associated molecular patterns (PAMPs)). Because TLRs have been implicated in many inflammatory diseases and cancer, TLRs targeted therapeutics have drawn great attention in clinical application in wide range of conditions. Many of them are undergoing evaluation in clinical trials. Chitin is the second most abundant polysaccharide detected in many insects and fungi. Studies have shown that chitin, as major PAMPs in host-infection, can activate TLR2-dependent innate immunity pathway. Therefore, chitin has potential use as an important agonist or antagonist to control key processes in innate immunity. However, no direct evidence has shown that chitin is the direct target of TLR2. This study first demonstrates a binding model of chitin and TLR2 and then confirmed its stability by molecular dynamic simulation and MM/PBSA (molecular mechanics/Poisson?Boltzmann surface area) calculations. The binding between chitin and TLR2 was taken place inside the binding pocket. Two hydrogen bonds were formed between chitin and TLR2, including Ser320 and Lys321. The van der Waals interaction has the major contribution in stabilising the binding of the chitin molecule with the protein. This study also suggests six hot-spots for specific binding of chitin in the binding site of TLR2, namely, Phe296, Phe299, Leu302, Thr309, Ser320 and Val322. Molecular dynamics simulation demonstrates that the complex of chitin and TLR2 is very stable with a total binding affinity of ?27.2 kcal/mol from MM/PBSA calculation.     

Analysis of Coxiela burnetti dihydrofolate reductase via in silico docking with inhibitors and molecular dynamics simulation

Coxiella burnetii is a gram-negative bacterium able to infect several eukaryotic cells, mainly monocytes and macrophages. It is found widely in nature with ticks, birds, and mammals as major hosts. C. burnetii is also the biological warfare agent that causes Q fever, a disease that has no vaccine or proven chemotherapy available. Considering the current geopolitical context, this fact reinforces the need for discovering new treatments and molecular targets for drug design against C. burnetii. Among the main molecular targets against bacterial diseases reported, the enzyme dihydrofolate reductase (DHFR) has been investigated for several infectious diseases. In the present work, we applied molecular modeling techniques to evaluate the interactions of known DHFR inhibitors in the active sites of human and C. burnetii DHFR (HssDHFR and CbDHFR) in order to investigate their potential as selective inhibitors of CbDHFR. Results showed that most of the ligands studied compete for the binding site of the substrate more effectively than the reference drug trimethoprim. Also the most promising compounds were proposed as leads for the drug design of potential CbDHFR inhibitors.     

A combination of pharmacophore modeling,atom-based 3D-QSAR,molecular docking and molecular dynamics simulation studies on PDE4 enzyme inhibitors

Phosphodiesterases 4 enzyme is an attractive target for the design of anti-inflammatory and bronchodilator agents. In the present study, pharmacophore and atom-based 3D-QSAR studies were carried out for pyrazolopyridine and quinoline derivatives using Schrödinger suite 2014-3. A four-point pharmacophore model was developed using 74 molecules having pIC₅₀ ranging from 10.1 to 4.5. The best four feature model consists of one hydrogen bond acceptor, two aromatic rings, and one hydrophobic group. The pharmacophore hypothesis yielded a statistically significant 3D-QSAR model, with a high correlation coefficient (R^2?=?.9949), cross validation coefficient (Q^2?=?.7291), and Pearson-r (.9107) at six component partial least square factor. The external validation indicated that our QSAR model possessed high predictive power with R² value of .88. The generated model was further validated by enrichment studies using the decoy test. Molecular docking, free energy calculation, and molecular dynamics (MD) simulation studies have been performed to explore the putative binding modes of these ligands. A 10-ns MD simulation confirmed the docking results of both stability of the 1XMU–ligand complex and the presumed active conformation. Outcomes of the present study provide insight in designing novel molecules with better PDE4 inhibitory activity.