High-affinity selective inhibitor against phospholipase A2 (PLA2): a computational study

Phospholipase A₂ (PLA₂) is the most abundant protein found in snake venom. PLA₂ induces a variety of pharmacological effects such as neurotoxicity, myotoxicity and cardiotoxicity as well as anticoagulant, hemolytic, anti-platelet, hypertensive, hemorrhagic and edema inducing effects. In this study, the three dimensional structure of PLA₂ of Naja sputatrix (Malayan spitting cobra) was modeled by I-TASSER, SWISS-MODEL, PRIME and MODELLER programs. The best model was selected based on overall stereo-chemical quality. Further, molecular dynamics simulation was performed to know the stability of the modeled protein using Gromacs software. Average structure was generated during the simulation period of 10?ns. High throughput virtual screening was employed through different databases (Asinex, Hit finder, Maybridge, TOSLab and ZINC databases) against PLA₂. The top seven compounds were selected based on the docking score and free energy binding calculations. These compounds were analyzed by quantum polarized ligand docking, induced fit docking and density functional theory calculation. Furthermore, the stability of lead molecules in the active site of PLA₂ was employed by MD simulation. The results show that selected lead molecules were highly stable in the active site of PLA₂.     

An explorative study on Staphylococcus aureus MurE inhibitor: induced fit docking,binding free energy calculation,and molecular dynamics

Staphylococcus aureus MurE enzyme catalyzes the addition of l-lysine as third residue of the peptidoglycan peptide moiety. Due to the high substrate specificity and its ubiquitous nature among bacteria, MurE enzyme is considered as one of the potential target for the development of new therapeutic agents. In the present work, induced fit docking (IFD), binding free energy calculation, and molecular dynamics (MD) simulation were carried out to elucidate the inhibition potential of 2-thioxothiazolidin-4-one based inhibitor 1 against S. aureus MurE enzyme. The inhibitor 1 formed majority of hydrogen bonds with the central domain residues Asn151, Thr152, Ser180, Arg187, and Lys219. Binding free-energy calculation by MM-GBSA approach showed that van der Waals (ΔG_vdW, ?57.30?kcal/mol) and electrostatic solvation (ΔG_solv, ?36.86?kcal/mol) energy terms are major contributors for the inhibitor binding. Further, 30-ns MD simulation was performed to validate the stability of ligand–protein complex and also to get structural insight into mode of binding. Based on the IFD and MD simulation results, we designed four new compounds D1–D4 with promising binding affinity for the S. aureus MurE enzyme. The designed compounds were subjected to the extra-precision docking and binding free energy was calculated for complexes. Further, a 30-ns MD simulation was performed for D1/4C13 complex.     

Pharmacophore generation,atom-based 3D-QSAR,molecular docking and molecular dynamics simulation studies on benzamide analogues as FtsZ inhibitors

FtsZ is an appealing target for the design of antimicrobial agent that can be used to defeat the multidrug-resistant bacterial pathogens. Pharmacophore modelling, molecular docking and molecular dynamics (MD) simulation studies were performed on a series of three-substituted benzamide derivatives. In the present study a five-featured pharmacophore model with one hydrogen bond acceptors, one hydrogen bond donors, one hydrophobic and two aromatic rings was developed using 97 molecules having MIC values ranging from .07 to 957 μM. A statistically significant 3D-QSAR model was obtained using this pharmacophore hypothesis with a good correlation coefficient (R² = .8319), cross validated coefficient (Q² = .6213) and a high Fisher ratio (F = 103.9) with three component PLS factor. A good correlation between experimental and predicted activity of the training (R² = .83) and test set (R² = .67) molecules were displayed by ADHRR.1682 model. The generated model was further validated by enrichment studies using the decoy test and MAE-based criteria to measure the efficiency of the model. The docking studies of all selected inhibitors in the active site of FtsZ protein showed crucial hydrogen bond interactions with Val 207, Asn 263, Leu 209, Gly 205 and Asn-299 residues. The binding free energies of these inhibitors were calculated by the molecular mechanics/generalized born surface area VSGB 2.0 method. Finally, a 15 ns MD simulation was done to confirm the stability of the 4DXD–ligand complex. On a wider scope, the prospect of present work provides insight in designing molecules with better selective FtsZ inhibitory potential.     

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.     

Structural investigations into the binding mode of novel neolignans Cmp10 and Cmp19 microtubule stabilizers by in silico molecular docking,molecular dynamics,and binding free energy calculations

Microtubule stabilizers provide an important mode of treatment via mitotic cell arrest of cancer cells. Recently, we reported two novel neolignans derivatives Cmp10 and Cmp19 showing anticancer activity and working as microtubule stabilizers at micromolar concentrations. In this study, we have explored the binding site, mode of binding, and stabilization by two novel microtubule stabilizers Cmp10 and Cmp19 using in silico molecular docking, molecular dynamics (MD) simulation, and binding free energy calculations. Molecular docking studies were performed to explore the β-tubulin binding site of Cmp10 and Cmp19. Further, MD simulations were used to probe the β-tubulin stabilization mechanism by Cmp10 and Cmp19. Binding affinity was also compared for Cmp10 and Cmp19 using binding free energy calculations. Our docking results revealed that both the compounds bind at Ptxl binding site in β-tubulin. MD simulation studies showed that Cmp10 and Cmp19 binding stabilizes M-loop (Phe272-Val288) residues of β-tubulin and prevent its dynamics, leading to a better packing between α and β subunits from adjacent tubulin dimers. In addition, His229, Ser280 and Gln281, and Arg278, Thr276, and Ser232 were found to be the key amino acid residues forming H-bonds with Cmp10 and Cmp19, respectively. Consequently, binding free energy calculations indicated that Cmp10 (?113.655 kJ/mol) had better binding compared to Cmp19 (?95.216 kJ/mol). This study provides useful insight for better understanding of the binding mechanism of Cmp10 and Cmp19 and will be helpful in designing novel microtubule stabilizers.     

Pharmacophore modeling,multiple docking,and molecular dynamics studies on Wee1 kinase inhibitors

Wee1-like protein kinase (Wee1) is a tyrosine kinase that regulates the G₂ checkpoint and prevents entry into mitosis in response to DNA damage. Based on a series of signaling pathways initiated by Wee1, Wee1 has been recognized as a potential target for cancer therapy. To discover potent Wee1 inhibitors with novel scaffolds, ligand-based pharmacophore model has been built based on 101 known Wee1 inhibitors. Then the best pharmacophore model, AADRRR.340, with good partial least square (PLS) statistics (R²?=?0.9212, Q²?=?0.7457), was selected and validated. The validated model was used as a three-dimensional (3D) search query for databases virtual screening. The filtered molecules were further analyzed and refined by Lipinski’s rule of 5, multiple docking procedures (high throughput virtual screening (HTVS), standard precision (SP), genetic optimization for ligand docking (GOLD), extra precision (XP), and unique quantum polarized ligand docking (QPLD)); absorption, distribution, metabolism, excretion, and toxicity (ADMET) screening; and the Prime/molecular mechanics generalized born surface area (MM-GBSA) method binding free energy calculations. Eight leads were identified as potential Wee1 inhibitors, and a 50?ns molecular dynamics (MD) simulation was carried out for top four inhibitors to predict the stability of ligand–protein complex. Molecular mechanics Poisson–Boltzmann surface area (MM-PBSA) based on MD simulation and the energy contribution per residue to the binding energy were calculated. In the end, three hits with good stabilization and affinity to protein were identified.

Communicated by Ramaswamy H. Sarma     

Identification of anti-filarial leads against aspartate semialdehyde dehydrogenase of Wolbachia endosymbiont of Brugia malayi: combined molecular docking and molecular dynamics approaches

Lymphatic filariasis is a debilitating vector borne parasitic disease that infects human lymphatic system by nematode Brugia malayi. Currently available anti-filarial drugs are effective only on the larval stages of parasite. So far, no effective drugs are available for humans to treat filarial infections. In this regard, aspartate semialdehyde dehydrogenase (ASDase) in lysine biosynthetic pathway from Wolbachia endosymbiont Brugia malayi represents an attractive therapeutic target for the development of novel anti-filarial agents. In this present study, molecular modeling combined with molecular dynamics simulations and structure-based virtual screening were performed to identify potent lead molecules against ASDase. Based on Glide score, toxicity profile, binding affinity and mode of interactions with the ASDase, five potent lead molecules were selected. The molecular docking and dynamics results revealed that the amino acid residues Arg103, Asn133, Cys134, Gln161, Ser164, Lys218, Arg239, His246, and Asn321 plays a crucial role in effective binding of Top leads into the active site of ASDase. The stability of the ASDase-lead complexes was confirmed by running the 30 ns molecular dynamics simulations. The pharmacokinetic properties of the identified lead molecules are in the acceptable range. Furthermore, density functional theory and binding free energy calculations were performed to rank the lead molecules. Thus, the identified lead molecules can be used for the development of anti-filarial agents to combat the pathogenecity of Brugia malayi.     

Induced fit docking,free energy calculation and molecular dynamics studies on Mycobacterium tuberculosis alanine racemase inhibitor

Alar, a Pyridoxal 5′-phosphate (PLP)-dependent bacterial enzyme is responsible for the racemisation of L-alanine into D-alanine which is essential for the peptidoglycan biosynthesis in both Gram-positive and Gram-negative bacteria. In the present study, we performed induced fit docking, binding free energy calculation and molecular dynamics simulation to elucidate the Alar inhibition potential of 1,2,4-thiadiazolidine-3,5-dione-based inhibitor 1. The inhibitor binds to the hydrophobic groove of Alar and the binding was found to be stable throughout 20-ns MD simulation. Induced fit docking result showed that Lys42, Tyr46, Tyr175 and Tyr364 residues are primarily responsible for the stabilisation of inhibitor–protein complex. Further, high negative van der Waals binding free energy value of –38.88 kcal/mol, indicated it as the main driving force for the inhibitor binding. Based on the information obtained from this study, we designed few molecules as potent Alar inhibitor. In order to gain structural insight and to validate the stability of complex, we performed 20-ns MD simulation of the designed molecule D1. Results obtained from this study can be used for the design of M. tuberculosis Alar potent inhibitors lacking affinity for the co-factor PLP.     

Molecular Docking and Dynamic Simulation to Identify α7nAChR Binding Affinity of Flavonoids for the Treatment of Alzheimer's Disease

Background : Alpha-7-nicotinic acetylcholine receptor (α7nAChR), a ligand-gated ion channel is one of the important parts of the cholinergic pathway in the brain and has a remarkable role in Alzheimer's disease (AD). It has been documented that the modulation of α7nAChR with the help of phytoconstituent can be helpful in the treatment of AD. Method : The binding efficacy of fifty flavonoids was evaluated for human α7nAChR using molecular docking. The best two flavonoids shortlisted from docking analysis were then subjected to molecular dynamic simulations for 100 ns to analyze conformational binding stability with the target protein. Further, the druggability of the selected flavonoids was checked using in silico ADMET studies. Result : The top two flavonoids selected based on binding affinity toward the binding site of α7nAChR from molecular docking were amentoflavone (–9.1 kcal/mol) and gallocatechin (–8.8 kcal/mol). The molecular dynamics simulation revealed that amentoflavone and gallocatechin have a stable state during overall simulation time, lesser root mean deviation (RMSD) and root mean square fluctuation (RMSF), and complex of both compounds with protein is stable until 100 ns. Conclusion : The two flavonoids amentoflavone and gallocatechin are potential lead molecules that could be utilized as effective agonists of α7nAChR to combat Alzheimer's disease. Future in vitro and in vivo analyses are required to confirm their effectiveness.     

Multicomplex-based pharmacophore modeling in conjunction with multi-target docking and molecular dynamics simulations for the identification of PfDHFR inhibitors

Abstract

Plasmodium falciparum dihydrofolate reductase enzyme (PfDHFR) is counted as one of the attractive and validated antimalarial drug targets. However, the point mutations in the active site of wild-type PfDHFR have developed resistance against the well-known antifolates. Therefore, there is a dire need for the development of inhibitors that can inhibit both wild-type and mutant-type DHFR enzyme. In the present contribution, we have constructed the common feature pharmacophore models from the available PfDHFR. A representative hypothesis was prioritized and then employed for the screening of natural product library to search for the molecules with complementary features responsible for the inhibition. The screened candidates were processed via drug-likeness filters and molecular docking studies. The docking was carried out on the wild-type PfDHFR (3QGT); double-mutant PfDHFR (3UM5 and 1J3J) and quadruple-mutant PfDHFR (1J3K) enzymes. A total of eight common hits were obtained from the docking calculations that could be the potential inhibitors for both wild and mutant type DHFR enzymes. Eventually, the stability of these candidates with the selected proteins was evaluated via molecular dynamics simulations. Except for SPECS14, all the prioritized candidates were found to be stable throughout the simulation run. Overall, the strategy employed in the present work resulted in the retrieval of seven candidates that may show inhibitory activity against PfDHFR and could be further exploited as a scaffold to develop novel antimalarials.

Communicated by Ramaswamy H. Sarma     

Binding of NDGA and morin with phospholipase A2: experimental and computational evidences

The effects of morin and nordihydroguaiaretic acid (NDGA), two plant secondary metabolites, on porcine pancreatic phospholipase A₂ (PLA₂) were investigated by isothermal titration calorimetry (ITC) and in silico docking analyses. The binding energies obtained for NDGA and morin from the ITC studies are ? 6.36 and ? 5.91 kcal mol^? 1, respectively. Similarly, the glide scores obtained for NDGA and morin towards PLA₂ were ? 7.32 and ? 7.23 kcal mol^? 1, respectively. Further the docked complexes were subjected to MD simulation in the presence of explicit water molecules to check the binding stability of the ligands in the active site of PLA₂. The bound ligands make hydrogen bonds with the active site residues of the enzyme and coordinate bonds with catalytically important Ca²⁺ ion. The binding of ligands at the active site of PLA₂ may also contribute to the reported anti-inflammatory properties of NDGA and morin.     

Insight into the structural requirements of thiophene-3-carbonitriles-based MurF inhibitors by 3D-QSAR,molecular docking and molecular dynamics study

The discovery of clinically relevant inhibitors against MurF enzyme has proven to be a challenging task. In order to get further insight into the structural features required for the MurF inhibitory activity, we performed pharmacophore and atom-based three-dimensional quantitative structure–activity relationship studies for novel thiophene-3-carbonitriles based MurF inhibitors. The five-feature pharmacophore model was generated using 48 inhibitors having IC₅₀ values ranging from 0.18 to 663?μm. The best-fitted model showed a higher coefficient of determination (R²?=?0.978), cross-validation coefficient (Q²?=?0.8835) and Pearson coefficient (0.9406) at four component partial least-squares factor. The model was validated with external data set and enrichment study. The effectiveness of the docking protocol was validated by docking the co-crystallized ligand into the catalytic pocket of MurF enzyme. Further, binding free energy calculated by the molecular mechanics generalized Born surface area approach showed that van der Waals and non-polar solvation energy terms are the main contributors to ligand binding in the active site of MurF enzyme. A 10-ns molecular dynamic simulation was performed to confirm the stability of the 3ZM6-ligand complex. Four new molecules are also designed as potent MurF inhibitors. These results provide insights regarding the development of novel MurF inhibitors with better binding affinity.     

In silico approaches to evaluate the molecular properties of organophosphate compounds to inhibit acetylcholinesterase activity in housefly

Organophosphate compounds (OPC) have become the primary choice as insecticides and are widely used across the world. Additionally, OPCs were also commonly used as a chemical warfare agent that triggers a great challenge to public safety. Exposure of OPCs to human causes immediate excitation of cholinergic neurotransmission through transient elevation of synaptic acetylcholine (ACh) levels and accumulations. Likewise, prolonged exposure of OPCs can affect the processes in immune response, carbohydrate metabolism, cardiovascular toxicity, and several others. Studies revealed that the toxicity of OPCs was provoked by inhibition of acetylcholinesterase (AChE). Therefore, combined in silico approaches – pharmacophore-based 3D-QSAR model; docking and Molecular Dynamics (MD) – were used to assess the precise and comprehensive effects of series of known OP-derived compounds together with its ?log LD₅₀ values. The selected five-featured pharmacophore model – AAHHR.61 – displayed the highest correlation (R² = .9166), cross-validated coefficient (Q² = .8221), F = 63.2, Pearson-R = .9615 with low RMSE = .2621 values obtained using five component PLS factors. Subsequently, the well-validated model was then used as a 3D query to search novel OPCs using a high-throughput virtual screening technique. Simultaneously, the docking studies predicted the binding pose of the most active OPC in the MdAChE binding pocket. Additionally, the stability of docking was verified using MD simulation. The results revealed that OP22 and predicted lead compounds bound tightly to S315 of MdAChE through potential hydrogen bond interaction over time. Overall, this study might provide valuable insight into binding mode of OPCs and hit compounds to inhibit AChE in housefly.     

Structural insight into Mycobacterium tuberculosis maltosyl transferase inhibitors: pharmacophore-based virtual screening,docking, and molecular dynamics simulations

Pharmacophore-based virtual screening, subsequent docking, and molecular dynamics (MD) simulations have been done to identify potential inhibitors of maltosyl transferase of Mycobacterium tuberculosis (mtb GlgE). Ligand and structure-based pharmacophore models representing its primary binding site (pbs) and unique secondary binding site 2 (sbs2), respectively, were constructed based on the three dimensional structure of mtb GlgE. These pharmacophore models were further used for screening of ZINC and antituberculosis compounds database (ATD). Virtually screened molecules satisfying Lipinski’s rule of five were then analyzed using docking studies and have identified 23 molecules with better binding affinity than its natural substrate, maltose. Four top scoring ligands from ZINC and ATD that either binds to pbs or sbs2 have been subjected to 10 ns each MD simulations and binding free energy calculations. Results of these studies have confirmed stable protein ligand binding. Results reported in the article are likely to be helpful in antitubercular therapeutic development research.     

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.     

Discovery of novel inhibitors of Mycobacterium tuberculosis MurG: homology modelling,structure based pharmacophore,molecular docking,and molecular dynamics simulations

MurG (Rv2153c) is a key player in the biosynthesis of the peptidoglycan layer in Mycobacterium tuberculosis (Mtb). This work is an attempt to highlight the structural and functional relationship of Mtb MurG, the three-dimensional (3D) structure of protein was constructed by homology modelling using Discovery Studio 3.5 software. The quality and consistency of generated model was assessed by PROCHECK, ProSA and ERRAT. Later, the model was optimized by molecular dynamics (MD) simulations and the optimized model complex with substrate Uridine-diphosphate-N-acetylglucosamine (UD1) facilitated us to employ structure-based virtual screening approach to obtain new hits from Asinex database using energy-optimized pharmacophore modelling (e-pharmacophore). The pharmacophore model was validated using enrichment calculations, and finally, validated model was employed for high-throughput virtual screening and molecular docking to identify novel Mtb MurG inhibitors. This study led to the identification of 10 potential compounds with good fitness, docking score, which make important interactions with the protein active site. The 25 ns MD simulations of three potential lead compounds with protein confirmed that the structure was stable and make several non-bonding interactions with amino acids, such as Leu290, Met310 and Asn167. Hence, we concluded that the identified compounds may act as new leads for the design of Mtb MurG inhibitors.     

Screening of promising molecules against MurG as drug target in multi-drug-resistant-Acinetobacter baumannii - insights from comparative protein modeling,molecular docking and molecular dynamics simulation

Abstract

The UDP-N-acetylglucosamine-N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase (MurG) is located in plasma membrane which plays a crucial role for peptidoglycan biosynthesis in Gram-negative bacteria. Recently, this protein is considered as an important and unique drug target in Acinetobacter baumannii since it plays a key role during the synthesis of peptidoglycan as well as which is not found in Homo sapiens. In this study, initially we performed comparative protein modeling approach to predict the three-dimensional model of MurG based on crystal structure of UDP-N-acetylglucosamine-N-acetylmuramyl-(pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase (PDB ID: 1F0K) from E.coli K12. MurG model has two important functional domains located in N and C- terminus which are separated by a deep cleft. Active site residues are located between two domains and they are Gly20, Arg170, Gly200, Ser201, Gln227, Phe254, Leu275, Thr276, and Glu279 which play essential role for the function of MurG. In order to inhibit the function of MurG, we employed the High Throughput Virtual Screening (HTVS) and docking techniques to identify the promising molecules which will further subjected into screening for computing their drug like and pharmacokinetic properties. From the HTVS, we identified 5279 molecules, among these, 12 were passed the drug-like and pharmacokinetic screening analysis. Based on the interaction analysis in terms of binding affinity, inhibition constant and intermolecular interactions, we selected four molecules for further MD simulation to understand the structural stability of protein-ligand complexes. All the analysis of MD simulation suggested that ZINC09186673 and ZINC09956120 are identified as most promising putative inhibitors for MurG protein in A. baumannii.

Communicated by Ramaswamy H. Sarma     

Molecular simulation of N-acetylneuraminic acid analogs and molecular dynamics studies of cholera toxin-Neu5Gc complex

Cholera toxin (CT) is an AB₅ protein complex secreted by the pathogen Vibrio cholera, which is responsible for cholera infection. N-acetylneuraminic acid (NeuNAc) is a derivative of neuraminic acid with nine-carbon backbone. NeuNAc is distributed on the cell surface mainly located in the terminal components of glycoconjugates, and also plays an important role in cell–cell interaction. In our current study, molecular docking and molecular dynamic (MD) simulations were implemented to identify the potent NeuNAc analogs with high-inhibitory activity against CT protein. Thirty-four NeuNAc analogs, modified in different positions C-1/C-2/C-4/C-5/C-7/C-8/C-9, were modeled and docked against the active site of CT protein. Among the 34 NeuNAc analogs, the analog Neu5Gc shows the least extra precision glide score of ?9.52 and glide energy of ?44.71?kcal/mol. NeuNAc analogs block the CT active site residues HIS:13, ASN:90, LYS:91, GLN:56, GLN:61, and TRP:88 through intermolecular hydrogen bonding. The MD simulation for CT-Neu5Gc docking complex was performed using Desmond. MD simulation of CT-Neu5Gc complex reveals the stable nature of docking interaction.     

Prediction of chlortetracycline adsorption on the Fe3O4 nanoparticle using molecular dynamics simulation

Abstract

Molecular dynamics (MD) simulation was applied to investigate the adsorption mechanism of chlortetracycline (CTC) antibiotic molecule as the aqueous pollutant on the Fe₃O₄ nanoparticle (NP). Two different NP sizes with a diameter of about 1.4?nm and 3.5?nm were selected. Initially, the stability of both NPs in water was investigated by calculating radial distribution function curves of NP atoms. Simulation results confirmed the stable crystallographic structures of both NPs. However, small NP induce greater structural stabilization. Then, CTC molecules were adsorbed on NPs surface in various pollutant concentrations. Electrostatic and hydrogen bond were the major types of interactions between CTC molecules and the adsorbent surface. CTC molecules formed a complex with NP surface from their amine side chains; while they were parallel to each other in their aromatic rings and π-π bond between two CTC molecules was formed. Diffusion rate of CTC molecules could predict the adsorption mechanism. At lower concentration of CTC, CTC molecules tend to adsorb on the NP surface. At these concentrations, the diffusion rate of CTC was high. By increasing the CTC concentration, the pollutant agglomeration was enhanced which decreased the diffusion rate. At this time, the surface of NP was saturated. In addition, the results of isotherm curves showed that CTC adsorption on small NPs could be defined with both Langmuir and Freundlich isotherm models, while Freundlich isotherm model was more appropriate for larger NPs. In conclusion, observations confirmed that MD simulation could successfully predict the behavior of CTC adsorption on the Fe₃O₄ NP surface.

Communicated by Ramaswamy H. Sarma