Structural analysis of a novel N-carbamoyl-d-amino acid amidohydrolase from a Brazilian Bradyrhizobium japonicum strain: In silico insights by molecular modelling,docking and molecular dynamics

In this work we performed several in silico analyses to describe the relevant structural aspects of an enzyme N-Carbamoyl-d-amino acid amidohydrolase (d-NCAase) encoded on the genome of the Brazilian strain CPAC 15 (=SEMIA 5079) of Bradyrhizobium japonicum, a nonpathogenic species belonging to the order Rhizobiales. d-NCAase has wide applications particularly in the pharmaceutical industry, since it catalyzes the production of d-amino acids such as D-p-hydroxyphenylglycine (D-HPG), an intermediate in the synthesis of β-lactam antibiotics. We applied a homology modelling approach and 50 ns of molecular dynamics simulations to predict the structure and the intersubunit interactions of this novel d-NCAase. Also, in order to evaluate the substrate binding site, the model was subjected to 50 ns of molecular dynamics simulations in the presence of N-Carbamoyl-d-p-hydroxyphenylglycine (Cp-HPG) (a d-NCAase canonical substrate) and water-protein/water-substrate interactions analyses were performed. Overall, the structural analysis and the molecular dynamics simulations suggest that d-NCAase of B. japonicum CPAC-15 has a homodimeric structure in solution. Here, we also examined the substrate specificity of the catalytic site of our model and the interactions with water molecules into the active binding site were comprehensively discussed. Also, these simulations showed that the amino acids Lys123, His125, Pro127, Cys172, Asp174 and Arg176 are responsible for recognition of ligand in the active binding site through several chemical associations, such as hydrogen bonds and hydrophobic interactions. Our results show a favourable environment for a reaction of hydrolysis that transforms N-Carbamoyl-d-p-hydroxyphenylglycine (Cp-HPG) into the active compound D-p-hydroxyphenylglycine (D-HPG). This work envisage the use of d-NCAase from the Brazilian Bradyrhizobium japonicum strain CPAC-15 (=SEMIA 5079) for the industrial production of D-HPG, an important intermediate for semi-synthesis of β-lactam antibiotics such as penicillins, cephalosporins and amoxicillin.     

Novel binding patterns between ganoderic acids and neuraminidase: Insights from docking,molecular dynamics and MM/PBSA studies

Recently, ganoderic acids (GAs) give rise to the attractive candidates of novel neuraminidase (NA) inhibitors. However, there is still no evident conclusion about their binding patterns. To this end, docking, molecular dynamics and MM/PBSA methods were combined to study the binding profiles of GAs with the N1 protein and familiar H274Y and N294S mutations (A/Vietnam/1203/04 stain). It was found that the binding affinities of ganoderic acid DM and Z (ΔG_bind, −16.83 and −10.99 kcal mol⁻¹) are comparable to that of current commercial drug oseltamivir (−23.62 kcal mol⁻¹). Electrostatic interaction is the main driving force, and should be one important factor to evaluate the binding quality and rational design of NA inhibitors. The 150-loop residues Asp151 and Arg152 played an important role in the binding processes. Further analysis revealed that ganoderic acid DM is a potential source of anti-influenza ingredient, with novel binding pattern and advantage over oseltamivir. It had steric hindrance on the 150 cavity of N1 protein, and exerted activities across the H274Y and N294S mutations. This work also pointed out how to effectively design dual-site NA inhibitors and reinforce their affinities. These findings should prove valuable for the in-depth understanding of interactions between NA and GAs, and warrant the experimental aspects to design novel anti-influenza drugs.     

Molecular docking/dynamics studies of Aurora A kinase inhibitors

The binding modes of a known 1,4,5,6-tetrahydropyrrolo[3,4-c]pyrazole, quinazoline, pyrimidine and indolinone series of Aurora A kinase inhibitors have been studied using molecular docking and molecular dynamics (MD) simulations. Crystallographic bound compound 8 was precisely predicted by our docking procedure as evident from 0.43 Å root mean square (rms) deviations. In addition compound 25 (AZ_68) has been successfully cross-docked within the Aurora A kinase active site, which was pre-organized for inhibitor 8. We found four key sites (A: solvent-exposed front pocket, B: hinge region, C: selectivity pocket and D: solvent-exposed phosphate binding region) of the Aurora A kinase contributing towards the binding of these compounds. We suggest that the small hydrophobic substituents at C-6 position of pyrrolopyrazole nucleus (in compounds 1–8); C-6 and C-7 positions of the quinazoline moiety (in compounds 9–23); C-2 position of the quinazoline and C-4 position of the pyrimidine (in compound 25) could be more effective and selective through increased hydrophobic contacts and selectivity pocket interactions with these modifications of Aurora A kinase inhibitors. Five representative complexes were subjected to 1000 ps of MD simulation to determine the stability of the predicted binding conformations. The low value of the root mean square deviations (ranging from 0.725 to 1.820 Å) between the starting complex structure and the energy minimized final average complex structure suggests that the Glide Extra Precision (XP) derived docked complexes are in a state of near equilibrium. The structure-based drug design strategy described in this study will be highly useful for the development of new inhibitors with high potency and selectivity.     

Exploring the molecular basis of the enantioselective binding of penicillin G acylase towards a series of 2-aryloxyalkanoic acids: a docking and molecular dynamics study

In the present paper, molecular modeling studies were undertaken in order to shed light on the molecular basis of the observed enantioselectivity of penicillin G acylase (PGA), a well known enzyme for its industrial applications, towards 16 racemic 2-aryloxyalkanoic acids, which have been reported to affect several biological systems. With this intention docking calculations and MD simulations were performed. Docking results indicated that the (S)-enantiomers establish several electrostatic interactions with SerB1, SerB386 and ArgB263 of PGA. Conversely, the absence of specific polar interactions between the (R)-enantiomers and ArgB263 seems to be the main reason for the different binding affinities observed between the two enantiomers. Results of molecular dynamics simulations demonstrated that polar interactions are responsible for both the ligand affinity and PGA enantiospecificity. Modeling calculations provided possible explanations for the observed enantioselectivity of the enzyme that rationalize available experimental data and could be the basis for future protein engineering efforts.     

Effects of mutations on active site conformation and dynamics of RNA-dependent RNA polymerase from Coxsackievirus B3

Recent crystal structures of RNA-dependent RNA polymerase (3D^pol) from Coxsackievirus B3 (CVB3) revealed that a tyrosine mutation at Phe364 (F364Y) resulted in structures with open active site whereas a hydrophobic mutation at Phe364 (F364A) led to conformations with closed active site. Besides, the crystal structures showed that the F364W mutation had no preference between the open and closed active sites, similar to wild-type. In this paper, we present a molecular dynamics (MD) study on CVB3 3D^pol in order to address some important questions raised by experiments. First, MD simulations of F364Y and F364A were carried out to explore how these mutations at Phe364 influence active site dynamics and conformations. Second, MD simulations of wild-type and mutants were performed to discover the connection between active site dynamics and polymerase function. MD simulations reveal that the effect of mutations on active site dynamics is associated with the interaction between the structural motifs A and D in CVB3 3D^pol. Interestingly, we discover that the active site state is influenced by the formation of a hydrogen bond between backbone atoms of Ala231 (in motif A) and Ala358 (in motif D), which has never been revealed before.     

Understanding molecular interactions between scavenger receptor A and its natural product inhibitors through molecular modeling studies

Scavenger receptor A (SRA), as an immune regulator, has been shown to play important roles in lipid metabolism, cardiovascular diseases, and pathogen recognition. Several natural product inhibitors of SRA have been studied for their potential application in modulating SRA functions. To understand the binding mode of these inhibitors on SRA, we conducted systematic molecular modeling studies in order to identify putative binding domain(s) that may be responsible for their recognition to the receptor as well as their inhibitory activity. Treatment of SRA with one of the natural product inhibitors, rhein, led to significant dissociation of SRA oligomers to its trimer and dimer forms, which further supported our hypothesis on their putative mechanism of action. Such information is believed to shed light on design of more potent inhibitors for the receptor in order to develop potential therapeutics through immune system modulation.     

Discovery of potent inhibitor for matrix metalloproteinase-9 by pharmacophore based modeling and dynamics simulation studies

Matrix metalloproteinase-9 (MMP-9) is an attractive target for anticancer therapy. In the present study ligand based pharmacophore modeling was performed to elucidate the structural elements for a diverse class of MMP-9 inhibitors. The pharmacophore model was validated through Güner-Henry (GH) scoring method. The final pharmacophore model consisted of three hydrogen bond acceptors (HBA), and two ring aromatic regions (RA). This model was utilized to screen the natural compound database to seek novel compounds as MMP-9 inhibitors. The identified hits were validated using molecular docking and molecular dynamics simulation studies. Finally, one compound named Hinokiflavone from Juniperus communis had high binding free energy of −26.54 kJ/mol compared with the known inhibitors of MMP-9. Cytotoxicity for hinokiflavone was evaluated by MTT assay. Inhibition of MMP-9 in the presence of hinokiflavone was detected by gelatin zymography and gelatinolytic inhibition assay. Results revealed that the natural compounds derived based on the developed pharmacophore model would be useful for further design and development of MMP-9 inhibitors.     

Effect of graphene oxide on the conformational transitions of amyloid beta peptide: A molecular dynamics simulation study

The interactions between nanomaterials (NMs) and amyloid proteins are central to the nanotechnology-based diagnostics and therapy in neurodegenerative disorders such as Alzheimer's and Parkinson's. Graphene oxide (GO) and its derivatives have shown to modulate the aggregation pattern of disease causing amyloid beta (Aβ) peptide. However, the mechanism is still not well understood. Using molecular dynamics simulations, the effect of graphene oxide (GO) and reduced graphene oxide (rGO) having carbon:oxygen ratio of 4:1 and 10:1, respectively, on the conformational transitions (alpha-helix to beta-sheet) and the dynamics of the peptide was investigated. GO and rGO decreased the beta-strand propensity of amino acid residues in Aβ. The peptide displayed different modes of adsorption on GO and rGO. The adsorption on GO was dominated by electrostatic interactions, whereas on rGO, both van der Waals and electrostatic interactions contributed in the adsorption of the peptide. Our study revealed that the slight increase in the hydrophobic patches on rGO made it more effective inhibitor of conformational transitions in the peptide. Alpha helix-beta sheet transition in Aβ peptide could be one of the plausible mechanism by which graphene oxide may inhibit amyloid fibrillation.     

A comparative study based on docking and molecular dynamics simulations over HDAC-tubulin dual inhibitors

Nowadays the ability to prediction of complex behavior rationally based on the computational approaches has been a successful technique in drug discovery. In the present study interactions of a new series of hybrids, which were made by linking colchicine as a tubulin inhibitor and suberoylanilide hydroxamic acid (SAHA) as a HDAC inhibitor, with HDAC8 and HDAC1 were investigated and compared. This research has been facilitated by the availability of experimental information besides employing docking methodology as well as classical molecular dynamics simulations and binding free energy calculation were performed. The obtained findings indicate different modes of interactions and inhibition strengths of the studied inhibitors for HDAC8 and HDAC1. HDAC8 binding free energies (−34.35 to −26.27 kcal/mol) revealed higher binding affinity to HDAC8 compared to HDAC1 (−33.17 to −7.99 kcal/mol). The binding energy contribution of each residue with the hybrid compounds 4a-4e within the active site of HDAC1 and HDAC8 was analyzed and the results confirmed the rule of key amino acids in interaction with the hybrid compounds.     

Nanosecond molecular dynamics simulations of Cdc25B and its complex with a 1,4-naphthoquinone inhibitor: implications for rational inhibitor design

Cdc25 phosphatases have been considered as attractive drug targets for anticancer therapies due to the correlation of their overexpression with a wide variety of cancers. To gain insight into designing new potent inhibitors, we investigate the dynamic properties of Cdc25B and its complex with a 1,4-naphtoquinone inhibitor NSC 95397 by means of molecular dynamics simulations in aqueous solution. It is shown from the calculated dynamic properties that the malleability of the residues 530–532 residing at the start of C-terminal region around the active site should be responsible for the catalytic action of Cdc25B. However, binding of the inhibitor in the active site leads to a substantial decrease in the motional amplitude of the flexible residues, due to the hydrophobic interactions with the side chain of Met531. The simulation results also indicate that at least four hydrogen bonds are involved in the enzyme-inhibitor complex. Among them, the hydrogen bond between the side chain carboxylate group of Glu478 and one of the hydroxyl groups of the inhibitor is found to be the most significant binding force stabilizing the inhibitor in the active site. This result supports the previous experimental implication that the possession of a single hydroxyl group is sufficient for the inhibitory activity of 1,4-naphthoquinone inhibitors.     

Multicomplex-based pharmacophore modeling coupled with molecular dynamics simulations: An efficient strategy for the identification of novel inhibitors of PfDHODH

Enormous efforts have been made in the past to identify novel scaffolds against the potential therapeutic target, Plasmodium falciparum dihydroorotate dehydrogenase (PfDHODH). Fourteen different organic molecules have been crystallized to understand the structural basis of the inhibition. However, the pharmacophoric studies carried out so far, have not exploited all the structural information simultaneously to identify the novel inhibitors. Therefore, an attempt was made to construct the pharmacophore hypotheses from the available PfDHODH structural proteome. Among the generated hypotheses, a representative hypothesis was employed as a primary filter to list the molecules with complimentary features accountable for inhibition. Moreover, the auxiliary evaluations of the filtered molecules were accomplished via docking and drug-likeness studies. Subsequently, the stability of the protein-ligand complex was evaluated by using molecular dynamics simulations (MDs). The molecular details of binding interactions of the potential hits were compared with the highly active experimental structure (5FI8) to seek the more potent candidates that can be targeted against PfDHODH. Overall, the combination of screening and stability procedures resulted in the identification of three potent candidates. The drug-likeness of these molecules lie within the acceptable range and consequently increased the opportunities for their development to new anti-malarials.     

Theoretical studies on the interaction of modified pyrimidines and purines with purine riboswitch

Recent experimental study [S.D. Gilbert, S.J. Mediatore, R.T. Batey, Modified pyrimidine specifically bind the purine riboswitch, J. Am. Chem. Soc. 128 (2006) 14214–14215] demonstrated that the purine riboswitch could specifically bind some ligands other than purines such as amino-pyrimidines, and the authors proposed that the five-membered ring of purine was not required for recognition. To get insight into the interaction details, we used molecular docking method to investigate the interactions of a mutant form of guanine riboswitch with a series of amino-purines, amino-pyrimidines and imidazole derivatives, and employed molecular simulation method to study the dynamic behavior of the selected complexes. The calculation results reveal that (1) all the amino-purines and amino-pyrimidines bind in a same cavity composed of four nucleobases including U22, U47, U51 and U74, which is consistent with the experimental results, while the two imidazole derivatives adopt other binding modes; (2) the purines are engulfed within three-way junction motifs, but most pyrimidines only form two-way junctions with the riboswitch; (3) the number and position of amino substituents could seriously affect the binding of pyrimidines. As riboswitches are potentially excellent candidates for antibiotic therapeutics, these findings may be useful for understanding the range of compounds that riboswitch can specifically recognize.     

Algorithm optimization in molecular dynamics simulation

Establishing the neighbor list to efficiently calculate the inter-atomic forces consumes the majority of computation time in molecular dynamics (MD) simulation. Several algorithms have been proposed to improve the computation efficiency for short-range interaction in recent years, although an optimized numerical algorithm has not been provided. Based on a rigorous definition of Verlet radius with respect to temperature and list-updating interval in MD simulation, this paper has successfully developed an estimation formula of the computation time for each MD algorithm calculation so as to find an optimized performance for each algorithm. With the formula proposed here, the best algorithm can be chosen based on different total number of atoms, system average density and system average temperature for the MD simulation. It has been shown that the Verlet Cell-linked List (VCL) algorithm is better than other algorithms for a system with a large number of atoms. Furthermore, a generalized VCL algorithm optimized with a list-updating interval and cell-dividing number is analyzed and has been verified to reduce the computation time by 30∼60% in a MD simulation for a two-dimensional lattice system. Due to similarity, the analysis in this study can be extended to other many-particle systems.     

Comparative structural studies of psychrophilic and mesophilic protein homologues by molecular dynamics simulation

Comparative molecular dynamics simulations of psychrophilic type III antifreeze protein from the North-Atlantic ocean-pout Macrozoarces americanus and its corresponding mesophilic counterpart, the antifreeze-like domain of human sialic acid synthase, have been performed for 10 ns each at five different temperatures. Analyses of trajectories in terms of secondary structure content, solvent accessibility, intramolecular hydrogen bonds and protein–solvent interactions indicate distinct differences in these two proteins. The two proteins also follow dissimilar unfolding pathways. The overall flexibility calculated by the trace of the diagonalized covariance matrix displays similar flexibility of both the proteins near their growth temperatures. However at higher temperatures psychrophilic protein shows increased overall flexibility than its mesophilic counterpart. Principal component analysis also indicates that the essential subspaces explored by the simulations of two proteins at different temperatures are non-overlapping and they show significantly different directions of motion. However, there are significant overlaps within the trajectories and similar directions of motion of each protein especially at 298 K, 310 K and 373 K. Overall, the psychrophilic protein leads to increased conformational sampling of the phase space than its mesophilic counterpart.Our study may help in elucidating the molecular basis of thermostability of homologous proteins from two organisms living at different temperature conditions. Such an understanding is required for designing efficient proteins with characteristics for a particular application at desired working temperatures.     

Molecular docking and molecular dynamics simulation studies of Trypanosoma cruzi triosephosphate isomerase inhibitors. Insights into the inhibition mechanism and selectivity

Trypanosoma cruzi (T. cruzi) triosephosphate isomerase (TcTIM) is a glycolytic enzyme essential for parasite survival and has been considered an interesting target for the development of new antichagasic compounds. The homodimeric enzyme is catalytically active only as a dimer. Interestingly, significant differences exist between the human and parasite TIMs interfaces with a sequence identity of 52%. Therefore, compounds able to specifically disrupt TcTIM but not Homo sapiens TIM (hTIM) dimer interface could become selective antichagasic drugs. In the present work, the binding modes of 1,2,4-thiadiazol, phenazine and 1,2,6-thiadiazine derivatives to TcTIM were investigated using molecular docking combined with molecular dynamics (MD) simulations. The results show that phenazine and 1,2,6-thiadiazine derivatives, 2 and 3, act as dimer-disrupting inhibitors of TcTIM having also allosteric effects in the conformation of the active site. On the other hand, the 1,2,4-thiadiazol derivative 1 binds into the active site causing a significant decrease in enzyme mobility in both monomers. The loss of conformational flexibility upon compound 1 binding suggests that this inhibitor could be preventing essential motions of the enzyme required for optimal activity. The lack of inhibitory activity of 1 against hTIM was also investigated and seems to be related with the high mobility of hTIM which would hinder the formation of a stable ligand–enzyme complex. This work has contributed to understand the mechanism of action of this kind of inhibitors and could result of great help for future rational novel drug design.     

Petascale molecular dynamics simulation using the fast multipole method on K computer

In this paper, we report all-atom simulations of molecular crowding — a result from the full node simulation on the “K computer”, which is a 10-PFLOPS supercomputer in Japan. The capability of this machine enables us to perform simulation of crowded cellular environments, which are more realistic compared to conventional MD simulations where proteins are simulated in isolation. Living cells are “crowded” because macromolecules comprise ∼30% of their molecular weight. Recently, the effects of crowded cellular environments on protein stability have been revealed through in-cell NMR spectroscopy. To measure the performance of the “K computer”, we performed all-atom classical molecular dynamics simulations of two systems: target proteins in a solvent, and target proteins in an environment of molecular crowders that mimic the conditions of a living cell. Using the full system, we achieved 4.4 PFLOPS during a 520 million-atom simulation with cutoff of 28 Å. Furthermore, we discuss the performance and scaling of fast multipole methods for molecular dynamics simulations on the “K computer”, as well as comparisons with Ewald summation methods.     

Fluctuations in molecular dynamics simulations

Statistical fluctuations of a system about its equilibrium state, monitored in a molecular dynamics simulation, are an effective means of computing the thermodynamic and kinetic properties of interfaces in metals and alloys. In this work, three applications of fluctuation analyses are reviewed. First, the capillary fluctuation method can be used to extract the stiffness of grain boundaries, as well as the solid–liquid interfacial free energy and its small anisotropy. Second, both a random walk analysis and a computation of a time correlation function involving the Fourier amplitudes of the interface height can be utilized to derive the mobility of grain boundaries and crystal–melt interfaces. Finally, the probability distribution of premelted grain boundary widths as a function of undercooling can be used to obtain the so-called disjoining potential, which is the thermodynamic driving force responsible for premelting.     

Scalability study of molecular dynamics simulation on Godson-T many-core architecture

Molecular dynamics (MD) simulation has broad applications, and an increasing amount of computing power is needed to satisfy the large scale of the real world simulation. The advent of the many-core paradigm brings unprecedented computing power, but it remains a great challenge to harvest the computing power due to MD’s irregular memory-access pattern. To address this challenge, this paper presents a joint application/architecture study to enhance the scalability of MD on Godson-T-like many-core architecture. First, a preprocessing approach leveraging an adaptive divide-and-conquer framework is designed to exploit locality through memory hierarchy with software controlled memory. Then three incremental optimization strategies–a novel data-layout to improve data locality, an on-chip locality-aware parallel algorithm to enhance data reuse, and a pipelining algorithm to hide latency to shared memory–are proposed to enhance on-chip parallelism for Godson-T many-core processor. Experiments on Godson-T simulator exhibit strong-scaling parallel efficiency of 0.99 on 64 cores, which is confirmed by a field-programmable gate array emulator. Also the performance per watt of MD on Godson-T is much higher than MD on a 16-cores Intel core i7 symmetric multiprocessor (SMP) and 26 times higher than MD on an 8-core 64-thread Sun T2 processor. Detailed analysis shows that optimizations utilizing architectural features to maximize data locality and to enhance data reuse benefit scalability most. Furthermore, a hierarchical parallelization scheme is designed to map the MD algorithm to Godson-T many-core cluster and a simple performance model is derived, which suggests that the optimization scheme is likely to scale well toward exascale. Certain architectural features are found essential for these optimizations, which could guide future hardware developments.     

Exploiting hierarchy parallelism for molecular dynamics on a petascale heterogeneous system

Heterogeneous systems with nodes containing more than one type of computation units, e.g., central processing units (CPUs) and graphics processing units (GPUs), are becoming popular because of their low cost and high performance. In this paper, we have developed a Three-Level Parallelization Scheme (TLPS) for molecular dynamics (MD) simulation on heterogeneous systems. The scheme exploits multi-level parallelism combining (1) inter-node parallelism using spatial decomposition via message passing, (2) intra-node parallelism using spatial decomposition via dynamically scheduled multi-threading, and (3) intra-chip parallelism using multi-threading and short vector extension in CPUs, and employing multiple CUDA threads in GPUs. By using a hierarchy of parallelism with optimizations such as communication hiding intra-node, and memory optimizations in both CPUs and GPUs, we have implemented and evaluated a MD simulation on a petascale heterogeneous supercomputer TH-1A. The results show that MD simulations can be efficiently parallelized with our TLPS scheme and can benefit from the optimizations.     

Discovery of selective dengue virus inhibitors using combination of molecular fingerprint-based virtual screening protocols,structure-based pharmacophore model development,molecular dynamics simulations and in vitro studies

Dengue virus is a major issue of tropical and sub-tropical regions. The proliferation of virus results in immense number of deaths each year because of unavailability of on-shelf drugs. This issue necessitates the design of novel anti-Dengue drugs. The protease enzyme pathway is the critical target for drug design due to its significance in the replication, survival and other cellular activities of Dengue virus. Keeping in mind the worsening situation regarding Dengue virus, approximately eighteen million drug-like compounds from the ZINC small molecule database have been screened against Nonstructural Protein 3 (NS3) previously by our group. In this study, in order to investigate the effect of extended time of molecular dynamics (MD) simulations on structural and dynamical profiles of used complexes, simulation run time is increased from 50-ns to 100-ns for the each system. In addition, a well-known Dengue virus inhibitor (MB21) from literature is used as reference structure (positive control) to compare the proposed molecules. Post-processing MD analyses including Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) calculations were conducted to predict binding free energies of inhibitors from derived trajectory frames of MD simulations. Identified compounds are further directed to Quantum-Polarized Ligand Docking (QPLD), molecular fingerprint-based virtual screening of another small molecule database (Otava Drug Like small molecule database), and Structure-based Pharmacophore Modeling (E-Pharmacophore). Finally, cell proliferation and cytotoxicity tests as well as pre- and post-treatment on HUH7 cells infected with DENV2 NGC strain are applied for four identified hit molecules (ZINC36681949, ZINC44921800, ZINC95518765 and ZINC39500661) to check whether these drugs inhibit DENV2 from entry and/or exit pathways. Based on cell-based Dengue quantification assays, there is no effect seen on pre-treatment of cells with these compounds indicating that the early infection processes of virus is not affected. In contrast, the post-treatment of cells with these compounds after Dengue virus infection has resulted in a significant 1 log PFU/ml reduction of the virus infectious titre.