Refined models of New Delhi metallo-beta-lactamase-1 with inhibitors: an QM/MM modeling study

New Delhi metallo-beta-lactamase 1 (NDM-1) has been identified as a potential target for the treatment of multi-drug resistance bacterial infections. We used molecular docking, normal MD, SIE, QM/MM MD simulations, QM/MM GBSA binding free energy, and QM/MM GBSA alanine-scanning mutagenesis techniques to investigate interactions of the NDM-1 with 11 inhibitors (Tigecycline, BAL30072, D-captopril, Penicillin G, Ampicillin, Carbenicillin, Cephalexin, Cefaclor, Nitrocefin, Meropenem, and Imipenem). From our normal MD and QM/MM simulations, the correlation coefficients between the predicted binding free energies and experimental values are .88 and .93, respectively. Then simulations, which combined QM/MM/GBSA and alanine-scanning mutagenesis techniques, were performed and our results show that two residues (Lys211 and His250) have the strongest impact on the binding affinities of the 11 NDM-1/inhibitors. Therefore, our approach theoretically suggests that the two residues (Lys211 and His250) are responsible for the selectivity of NDM-1 associated inhibitors.     

Structural insights into the inhibitor binding and new inhibitor design to Polo-like kinase-1 Polo-box domain using computational studies

Polo box domain (PBD) from Polo-Like Kinase-1 (PLK-1) a cell cycle regulator is one of the important non-kinase targets implicated in various cancers. The crystal structure of PLK-1 PBD bound to phosphopeptide inhibitor is available and acylthiourea derivatives have been reported as potent PBD inhibitors. In this work, structure and ligand-based pharmacophore methods have been used to identify new PBD inhibitors. The binding of acylthiourea analogs and new inhibitors to PBD were assessed using molecular docking and molecular dynamics simulations to understand their binding interactions, investigate the complex stability and reveal the molecular basis for inhibition. This study provides the binding free energies and residue-wise contributions to decipher the essential interactions in the protein-inhibitor complementarity for complex formation and the design of new PBD inhibitors with better binding.

Communicated by Ramaswamy H. Sarma     

Helix-capping interaction in λ cro protein: A free energy simulation analysis

The stability mutant Tyr-26 → Asp was studied in the Cro protein from bacteriophage λ using free energy molecular dynamics simulations. The mutant was calculated to be more stable than the wild type by 3.0 ± 1.7 kcal/mol/monomer, in reasonable agreement with experiment (1.4 kcal/mol/monomer). Moreover, the aspartic acid in the mutant was found to form a capping interation with the amino terminus of the third α-helix of Cro. The simulations were analyzed to understand better the source of the stability of this helix-capping interaction and to examine the results in light of previous explanations of stabilizing helix caps-namely, a model of local unsatisfied hydrogen bonds at the helix termini and the helix macro dipole model. Analysis of the simulations shows that the stabilizing effect of this charged helical cap is due both to favorable hydrogen bonds with backbone NH groups at the helix terminus and to favorable electrostatic interactions (but not hydrogen bonds) with their carbonyls (effectively the next row of local dipoles in the helix). However, electrostatic interactions are weak or negligible with backbone dipolar groups in the helix further away from the terminus. Moreover, the importance of other local electrostatic interactions with polar side chains near the helix terminus, which are neglected in most treatments of this effect, are shown to be important. Thus, the results support a model that is intermediate between the two previous explanations: both unsatisfied hydrogen bonds at the helix terminus and other, local preoriented dipolar groups stabilize the helix cap. These findings suggest that similar interactions with preoriented dipolar groups may be important for cooperativity in other charge–dipole interactions and may be employed to advantage for molecular design. © 1994 Wiley-Liss, Inc.     

Computationally guided identification of Akt-3, a serine/threonine kinase inhibitors: Insights from homology modelling,structure-based screening,molecular dynamics and quantum mechanical calculations

Abstract

Chemical entities targeting kinase signalling pathways serve as a potential strategy to combat malignancies. Protein Kinase B or Akt is a validated target for various malignancies and Akt3 remains the least explored isoform among all its isoforms. Initially, homology modelling technique was used for generating protein structure and further validation was performed using molecular dynamics simulation and Ramachandran plot. The validated protein structure was then subjected for active site analysis which led to identification of active site residues based on metrics provided by site score. The important residues in binding site were identified as Thr81, Asp271 and Asp289 for binding energetics and inhibition. Subsequently, virtual screening methodologies were used for identification of novel hits for inhibition of Protein Kinase B or Akt3. This led to the identification of two hits, i.e. thiophene derivative and thieno-pyridine derivative which were selected on the basis of their binding affinity and drug likeliness. These identified hits were subjected for molecular dynamics simulations, quantum mechanical and synthetic accessibility studies. The role of crucial residues in binding site stood validated as suggested by molecular dynamics simulations studies.

Communicated by Ramaswamy H. Sarma     

Identification of the active site of human mitochondrial malonyl‐coenzyme a decarboxylase: A combined computational study

Malonyl‐CoA decarboxylase (MCD) can control the level of malonyl‐CoA in cell through the decarboxylation of malonyl‐CoA to acetyl‐CoA, and plays an essential role in regulating fatty acid metabolism, thus it is a potential target for drug discovery. However, the interactions of MCD with CoA derivatives are not well understood owing to unavailable crystal structure with a complete occupancy in the active site. To identify the active site of MCD, molecular docking and molecular dynamics simulations were performed to explore the interactions of human mitochondrial MCD (HmMCD) and CoA derivatives. The findings reveal that the active site of HmMCD indeed resides in the prominent groove which resembles that of CurA. However, the binding modes are slightly different from the one observed in CurA due to the occupancy of the side chain of Lys183 from the N‐terminal helical domain instead of the adenine ring of CoA. The residues 300 ? 305 play an essential role in maintaining the stability of complex mainly through hydrogen bond interactions with the pyrophosphate moiety of acetyl‐CoA. Principle component analysis elucidates the conformational distribution and dominant concerted motions of HmMCD. MM_PBSA calculations present the crucial residues and the major driving force responsible for the binding of acetyl‐CoA. These results provide useful information for understanding the interactions of HmMCD with CoA derivatives. Proteins 2016; 84:792–802. © 2016 Wiley Periodicals, Inc.     

Virtual screening of small molecules databases for discovery of novel PARP-1 inhibitors: combination of in silico and in vitro studies

Poly(ADP-ribose) polymerase-1 (PARP-1) enzyme has critical roles in DNA replication repair and recombination. Thus, PARP-1 inhibitors play an important role in the cancer therapy. In the current study, we have performed combination of in silico and in vitro studies in order to discover novel inhibitors against PARP-1 target. Structure-based virtual screening was carried out for an available small molecules database. A total of 257,951 ligands from Otava database were screened at the binding pocket of PARP-1 using high-throughput virtual screening techniques. Filtered structures based on predicted binding energy results were then used in more sophisticated molecular docking simulations (i.e. Glide/standard precision, Glide/XP, induced fit docking – IFD, and quantum mechanics polarized ligand docking – QPLD). Potential high binding affinity compounds that are predicted by molecular simulations were then tested by in vitro methods. Computationally proposed compounds as PARP-1 inhibitors (Otava Compound Codes: 7111620047 and 7119980926) were confirmed by in vitro studies. In vitro results showed that compounds 7111620047 and 7119980926 have IC₅₀ values of 0.56 and 63 μM against PARP-1 target, respectively. The molecular mechanism analysis, free energy perturbation calculations using long multiple molecular dynamics simulations for the discovered compounds which showed high binding affinity against PARP-1 enzyme, as well as structure-based pharmacophore development (E-pharmacophore) studies were also studied.     

Repurposing FDA-approved drugs as FXR agonists: a structure based in silico pharmacological study

Farnesoid X receptor (FXR) modulates the expression of genes involved in lipid and carbohydrate homeostasis and inflammatory processes. This nuclear receptor is likely a tumor suppressor in several cancers, but its molecular mechanism of suppression is still under study. Several studies reported that FXR agonism increases the survival of colorectal, biliary tract, and liver cancer patients. In addition, FXR expression was shown to be down-regulated in many diseases such as obesity, irritable bowel syndrome, glomerular inflammation, diabetes, proteinuria, and ulcerative colitis. Therefore, development of novel FXR agonists may have significant potential in the prevention and treatment of these diseases. In this scenario, computer-aided drug design procedures can be resourcefully applied for the rapid identification of promising drug candidates. In the present study, we applied the molecular docking method in conjunction with molecular dynamics (MD) simulations to find out potential agonists for FXR based on structural similarity with the drug that is currently used as FXR agonist, obeticholic acid. Our results showed that alvimopan and montelukast could be used as potent FXR activators and outperform the binding affinity of obeticholic acid by forming stable conformation with the protein in silico. However, further investigational studies and validations of the selected drugs are essential to figure out their suitability for preclinical and clinical trials.     

Estimating binding free energy of a putative growth factors EGF–VEGF complex – a computational bioanalytical study

Epidermal growth factor (EGF) and homodimeric vascular endothelial growth factor (VEGF) bind to cell surface receptors. They are responsible for cell growth and angiogenesis, respectively. Docking of the individual proteins as monomeric units using ZDOCK 2.3.2 reveals a partial blocking of the receptor binding site of VEGF by EGF. The receptor binding site of EGF is not affected by VEGF. The calculated binding energy is found to be intermediate between the binding energies calculated for Alzheimer’s Aß42 and the barnase/barstar complex.     

Assembling viral channel forming proteins: Vpu from HIV‐1

Different routes of assembly are probed for the transmembrane domain (TMD) of the bitopic membrane protein Vpu from HIV‐1. Vpu is responsible for the amplification of viral release from the host cell. The mode of action includes (i) heteroassembly with host factors and (ii) the formation of homo‐oligomers, which are able to conduct ions across the lipid membrane. Two different routes of assembling short sequences of the N terminus, including the TMD of Vpu, Vpu_1–32, and Vpu_8–26, are presented by using a combination of classical molecular dynamics (MD) simulations combined with a docking approach. The rim of alanines (Ala‐8, ‐11, ‐15, and ‐19) resembles an interlocking motif for the sequential assembly into a dimer and trimer. Simultaneous assembly results in oligomeric bundles (trimers to pentamers) with either tryptophans (Trp‐23) or purely hydrophobic residues facing the center. Bundles, with serines facing the pore (Ser‐24), are energetically not the lowest structures. For pentameric bundles with Ser‐24 facing the pore, no water column develops during a short 25 ns MD simulation. © 2013 Wiley Periodicals, Inc. Biopolymers 99: 517–529, 2013.     

A computational H5N1 neuraminidase model and its binding to commercial drugs

In order to understand the mechanisms of ligand binding and interaction between two commercial drugs (ligands), zanamivir and oseltamivir and H5N1 Influenza Virus Neuraminidase subtype N1, a three-dimensional model of N1-ligand (GenBank accession no. AAS654617) was initially generated by homology modeling using the 13 high-resolution X-ray structures of neuraminidase N2 and N9 as the template. With the aid of the molecular mechanics and molecular dynamics methods, the final implicit solvent refined model was obtained. It was, then, assessed by PROCHECK, PROSA and VERIFY3D. With this model, a flexible docking study was performed. The results show strong hydrogen bond interactions between the glycerol side chains of zanamivir and Arg29 of the N1. Common hydrogen bonds between the carboxyl groups and Arg279 were found for both drugs. It was also found that the Glu30, Asp62, Arg63, Arg204, Trp310, Tyr313, Glu336, Ile338, Trp348, Ala349 were observed to facilitate the enzyme-ligand non-bonding interactions as they are located within the radius of 5 Å from all atoms of both drugs. Charge distribution was evaluated using the semi-empirical AM1 method. The results show that the total net charges of the –NH side chain of zanamivir is less negative than that of oseltamivir. This is in contrast to what is observed for the amide and alkyl (ether/glycerol) side chains. In comparison of the binding free energies between the X-ray N2-ligand and N9-ligand complexes, N1-ligand binding is found to be less potent than N2 and N9 subtypes, while N2-ligand and N9-ligand are roughly comparable. In addition, it is interesting to observe that the binding free energies for all three subtypes of the zanamivir complexes are lower than those of oseltamivir.     

Stereoselectivity of phosphotriesterase with paraoxon derivatives: a computational study

The bacterial enzyme phosphotriesterase (PTE) exhibits stereoselectivity toward hydrolysis of chiral substrates with a preference for the S_p enantiomer. In this work, docking analysis and two explicit-solvent molecular dynamics (MD) simulations were performed to characterize and differentiate the structural dynamics of PTE bound to the S_p and R_p paraoxon derivative enantiomers (R_p-1 and S_p-1) hydrolyzed with distinct catalytic efficiencies. Comparative analysis of the molecular trajectories for PTE bound to R_p-1 and S_p-1 suggested that substrate binding induced conformational changes in the loops near the active site. After 100 ns of MD simulation, the Zn β²⁺ metal ion formed hexacoordinated- and tetracoordinated geometries in the S_p-1-PTE and R_p-1-PTE ensembles, respectively. Simulation results further showed that the hydrogen bond between Asp301 and His254 occurred with a higher probability after S_p-1 binding to PTE (47.5%) than that after R_p-1 binding (22.2%). These results provide a qualitative and molecular-level explanation for the 10 orders of magnitude increase in the catalytic efficiency of PTE toward the S_p enantiomer of paraoxon.     

Exploring the conformational and binding properties of unphosphorylated/phosphorylated monomeric and trimeric Bcl‐2 through docking and molecular dynamics simulations

B‐cell lymphoma (Bcl‐2) is commonly associated with the progression and preservation of cancer and certain lymphomas; therefore, it is considered as a biological target against cancer. Nevertheless, evidence of all its structural binding sites has been hidden because of the lack of a complete Bcl‐2 model, given the presence of a flexible loop domain (FLD), which is responsible for its complex behavior. FLD region has been implicated in phosphorylation, homotrimerization, and heterodimerization associated with Bcl‐2 antiapoptotic function. In this contribution, homology modeling, molecular dynamics (MD) simulations in the microsecond (µs) time‐scale and docking calculations were combined to explore the conformational complexity of unphosphorylated/phosphorylated monomeric and trimeric Bcl‐2 systems. Conformational ensembles generated through MD simulations allowed for identifying the most populated unphosphorylated/phosphorylated monomeric conformations, which were used as starting models to obtain trimeric complexes through protein–protein docking calculations, also submitted to µs MD simulations. Principal component analysis showed that FLD represents the main contributor to total Bcl‐2 mobility, and is affected by phosphorylation and oligomerization. Subsequently, based on the most representative unphosphorylated/phosphorylated monomeric and trimeric Bcl‐2 conformations, docking studies were initiated to identify the ligand binding site of several known Bcl‐2 inhibitors to explain their influence in homo‐complex formation and phosphorylation. Docking studies showed that the different conformational states experienced by FLD, such as phosphorylation and oligomerization, play an essential role in the ability to make homo and hetero‐complexes. © 2016 Wiley Periodicals, Inc. Biopolymers 105: 393–413, 2016.     

Comparative docking studies of CYP1b1 and its PCG-associated mutant forms

Molecular docking has been used to compare and contrast the binding modes of oestradiol with the wild-type and some disease-associated mutant forms of the human CYP1b1 protein. The receptor structures used for docking were derived from molecular dynamics simulations of homology-modelled structures. Earlier studies involving molecular dynamics and principal component analysis indicated that mutations could have a disruptive effect on function, by destabilizing the native properties of the functionally important regions, especially those of the haem-binding and substrate-binding regions, which constitute the site of catalytic activity of the enzyme. In order to gain more insights into the possible differences in substrate-binding and catalysis between the wild-type and mutant proteins, molecular docking studies were carried out. Mutants showed altered protein-ligand interactions compared with the wild-type as a consequence of changes in the geometry of the substrate-binding region and in the position of haem relative to the active site. An important difference in ligand-protein interactions between the wild-type and mutants is the presence of stacking interaction with phenyl residues in the wild-type, which is either completely absent or considerably weaker in mutants. The present study revealed essential differences in the interactions between ligand and protein in wild-type and disease mutants, and helped in understanding the deleterious nature of disease mutations at the level of molecular function.     

Comparative simulation studies of native and single-site mutant human beta-defensin-1 peptides

Human defensins play important roles in a broad range of biological functions, such as microbial defense and immunity. Yet, little is known about their molecular properties, i.e. secondary structure stability, structural variability, important side chain interactions, surface charge distribution, and resistance to thermal fluctuations, and how these properties are related to their functions. To assess these factors, we studied the native human β-defensin-1 monomer and dimer as well as several single-site mutants using molecular dynamics simulations. The results showed that disulfide bonds are important determinants in maintaining the defensins’ structural integrity, as no structural transitions were observed at 300?K and only minor structural unfolding was detected upon heating to 500?K. The α-helix was less thermally stable than the core β-sheet structure held together by hydrogen bonds and hydrophobic interactions. The monomer α-helix stability was directly correlated, whereas the end-to-end distance was inversely correlated to the experimentally measured β-defensin-1 chemotactic activity, in the order: mutant 2 (Gln24Glu)?>?mutant 3 (Lys31Ala)?=?wild type?>?mutant 1 (Asn4Ala). The structural stability of the β-defensin-1 dimer species exhibited an inverse correlation to their chemotactic activity. In dimers formed by mutants 2 and 3, we observed sliding of one monomer upon the surface of the other in the absence of unbinding. This dynamic sliding feature may enhance the molecular oligomerization of β-defensin-1 peptides contributing to their antibacterial activity. It could also help these peptides orient correctly in the CC chemokine receptor 6 binding site, thereby initiating their chemotactic activity. In agreement with this notion, the remarkable sliding behavior was observed only for the mutants with the highest chemotactic activity.     

A computational approach to explore and identify potential herbal inhibitors for the p21-activated kinase 1 (PAK1)

Abstract

The oncogenic kinase PAK1 (p21-activated kinase 1) is involved in developing many diseases including cancers, neurofibromatosis, Alzheimer's disease, diabetes (type 2), and hypertension. Thus, it is thought to be a prominent therapeutic target, and its selective inhibitors have a huge market potential. Recently, herbal PAK1 inhibitors have gained immense interest over synthetic ones mainly due to their non-toxic effects. Till date, many herbal compounds have been suggested to inhibit PAK1, but their information on selectivity, bioavailability, ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties, and molecular interactions with PAK1 has not been explored. Hence, this study was designed with computational approaches to explore and identify the best herbal PAK1-blockers showing good ADMET properties, druggable features and binding affinity with PAK1. Herbal inhibitors reported here were initially filtered with Lipinski’s rule of five (RO5). Then, molecular docking between these inhibitors and PAK1 catalytic sites was performed using AutoDock Vina and GOLD suite to determine the binding affinity and interactions. Finally, 200?ns molecular dynamics (MD) simulations on three top-ranked inhibitors including cucurbitacin I (C-I), nymphaeol A (NA), and staurosporine (SPN) were carried out. The binding free energies and interactions revealed that NA can strongly bind with the PAK1 catalytic cleft. PASS prediction and ADMET profiling supported that NA is appeared to be a more selective and safer inhibitor than C-I and SPN. These results conform to the previous experimental evidences, and therefore, NA from Okinawa propolis could be a promising inhibitor for treating PAK1-dependent illnesses.

Communicated by Ramaswamy H. Sarma     

Characterization of differences in substrate specificity among CYP1A1, CYP1A2 and CYP1B1: an integrated approach employing molecular docking and molecular dynamics simulations

Recent trends in new drug discovery of anticancer drugs have made oncologists more aware of the fact that the new drug discovery must target the developing mechanism of tumorigenesis to improve the therapeutic efficacy of antineoplastic drugs. The drugs designed are expected to have high affinity towards the novel targets selectively. Current research highlights overexpression of CYP450s, particularly cytochrome P450 1A1 (CYP1A1), in tumour cells, representing a novel target for anticancer therapy. However, the CYP1 family is identified as posing significant problems in selectivity of anticancer molecules towards CYP1A1. Three members have been identified in the human CYP1 family: CYP1A1, CYP1A2 and CYP1B1. Although sequences of the three isoform have high sequence identity, they have distinct substrate specificities. The understanding of macromolecular features that govern substrate specificity is required to understand the interplay between the protein function and dynamics, design novel antitumour compounds that could be specifically metabolized by only CYP1A1 to mediate their antitumour activity and elucidate the reasons for differences in substrate specificity profile among the three proteins. In the present study, we employed a combination of computational methodologies: molecular docking and molecular dynamics simulations. We utilized eight substrates for elucidating the difference in substrate specificity of the three isoforms. Lastly, we conclude that the substrate specificity of a particular substrate depends upon the type of the active site residues, the dynamic motions in the protein structure upon ligand binding and the physico‐chemical characteristics of a particular ligand. Copyright © 2016 John Wiley & Sons, Ltd.     

Conformational changes associated with L16P and T118M mutations in the membrane-embedded PMP22 protein,consequential in CMT-1A

Peripheral myelin protein 22 (PMP22) resides in the plasma membrane and is required for myelin formation in the peripheral nervous system. Excess PMP22 mutants accumulate in the endoplasmic reticulum (ER) resulting in the inherited neuropathies of Charcot–Marie–Tooth disease. However, there was no evidence of the structure of PMP22 or how mutations affect its folding. Therefore, in this study, we combined bioinformatics and homology modeling approaches to obtain three-dimensional native and mutated PMP22 models and its anchoring to a POPC membrane, submitted to .5-μs MD simulations, to determine how the L16P and T118M mutations affect the conformational behavior of PMP22. In addition, we investigated the ability of the native and mutated species to accumulate in the ER, via interaction with RER1, by combining protein–protein docking and MD simulations, taking the conformations that were most representative of the native and mutated PMP22 systems and RER1 conformations. Principal component analysis over MD simulations revealed that L16P and T118M mutations resulted in increased structural instability compared to the native form, which is consistent with previous experimental findings of increased structural fluctuations along a loop connecting transmembrane α-helix1 and α-helix2. Docking and MD simulations coupled with the MMGBSA approach allowed the identification that the binding interface for the PMP22-RER1 complex takes place through transmembrane α-helix1 and α-helix2, with higher effective binding free energy values between the mutated PMP22 systems and RER1 than for the native PMP22, mainly through van der Waals interactions.