Understanding microscopic binding of macrophage migration inhibitory factor with phenolic hydrazones by molecular docking, molecular dynamics simulations and free energy calculations

Macrophage migration inhibitory factor (MIF), an immunoregulatory protein, is a potential target for a number of inflammatory diseases. In the current work, the interactions between MIF and a series of phenolic hydrazones were studied by molecular docking, molecular dynamics (MD) simulations, binding free energy calculations, and binding energy decomposition analysis to determine the structural requirement for achieving favorable biological activity of phenolic hydrazones. First, molecular docking was used to predict the binding modes of inhibitors in the binding site of MIF. The good correlation between the predicted docking scores and the experimental activities shows that the binding conformations of the inhibitors in the active site of MIF are well predicted. Moreover, our results suggest that the flexibility of MIF is essential in ligand binding process. Then, MD simulations and MM/GBSA free energy calculations were employed to determine the dynamic binding process and compare the binding modes of the inhibitors with different activities. The predicted binding free energies given by MM/GBSA are not well correlated with the experimental activities for the two subsets of the inhibitors; however, for each subset, a good correlation between the predicted binding free energies and the experimental activities is achieved. The MM/GBSA free energy decomposition analysis highlights the importance of hydrophobic residues for the MIF binding of the studied inhibitors. Based on the essential factors for MIF-inhibitor interactions derived from the theoretical predictions, some derivatives were designed and the higher inhibitory activities of several candidates were confirmed by molecular docking studies. The structural insights obtained from our study are useful for designing potent inhibitors of MIF.     

Docking and SAR studies of salacinol derivatives as α-glucosidase inhibitors

Salacinol is a potent α-glucosidase inhibitor isolated from Salacia reticulata, and a good lead compound for an antidiabetic drug. It is essential to clarify the binding state of salacinol to α-glucosidase for efficient optimization study using structure-based drug design. Redocking simulations of two inhibitors, acarbose and casuarine whose complex structures are known, were performed to assure the appropriate docking pose prediction. The simulation reproduced both experimental binding states with accuracy. Then, using the same simulation protocol, the binding mode of salacinol and its derivatives has been predicted. Salacinol bound to the protein with a similar binding mode as casuarine, and the predicted structures could explain most of the structure–activity relationships of salacinol derivatives.     

Interaction of c(60)-fullerene and carboxyfullerene with proteins: docking and binding site alignment

The unique properties of fullerenes have raised the interest of using them for biomedical applications. Within this framework, the interactions of fullerenes with proteins have been an exciting research target, yet little is known about how native proteins can bind fullerenes, and what is the nature of these interactions. Moreover, though some proteins have been shown to interact with fullerenes, up to date, no crystal structure of such complexes was obtained. Here we report docking studies aimed at examining the interactions of fullerene in two forms (C60 nonsubstituted fullerene and carboxyfullerene) with four proteins that are known to bind fullerene derivatives: HIV protease, fullerene-specific antibody, human serum albumin, and bovine serum albumin. Our work provides docking models with detailed binding pockets information, which closely match available experimental data. We further compare the predicted binding sites using a novel multiple binding site alignment method. A high similarity between the physicochemical properties and surface geometry was found for fullerene's binding sites of HIV protease and the human and bovine serum albumins.     

Pharmacophore modeling and structure-based virtual screening to identify potent inhibitors targeting LuxP of Vibrio harveyi

The main aim of the study is to identify molecules that can disrupt quorum sensing (QS) system of Vibrio harveyi and therefore perhaps the production of toxins. Recently, a novel class of dioxazaborocane derivatives has been found to block AI-2 QS by targeting LuxPQ, but the mechanism of protein inhibition is still unclear. In order to investigate the possible binding modes, all the derivatives were docked into the binding site of LuxP using induced fit docking (IFD). The computed binding affinity is in good agreement with the experimental data. Resultant protein–ligand complexes were simulated using Desmond module and the result revealed better binding of ligands in the binding site of LuxP. Both pharmacophore- and structure-based virtual screening was performed to identify novel hits against LuxP. A filtering protocol, including lipinski filters, number of rotatable bonds and three levels of docking precisions were used for the selection of hits with specific properties. The virtual screening results were then combined and analyzed, which retrieved six hits with significant Glide score, binding affinity toward LuxP. The pharmacokinetic properties of the retrieved hits are in the acceptable range. Enrichment calculation was performed to validate the final hits, to discriminate the active compounds from the inactive compounds. The identified hits could serve as a base for further drug development against LuxP of Vibrio harveyi.     

An Innovative Strategy for Dual Inhibitor Design and Its Application in Dual Inhibition of Human Thymidylate Synthase and Dihydrofolate Reductase Enzymes

Due to the diligence of inherent redundancy and robustness in many biological networks and pathways, multitarget inhibitors present a new prospect in the pharmaceutical industry for treatment of complex diseases. Nevertheless, to design multitarget inhibitors is concurrently a great challenge for medicinal chemists. We have developed a novel computational approach by integrating the affinity predictions from structure-based virtual screening with dual ligand-based pharmacophore to discover potential dual inhibitors of human Thymidylate synthase (hTS) and human dihydrofolate reductase (hDHFR). These are the key enzymes in folate metabolic pathway that is necessary for the biosynthesis of RNA, DNA, and protein. Their inhibition has found clinical utility as antitumor, antimicrobial, and antiprotozoal agents. A druglike database was utilized to perform dual-target docking studies. Hits identified through docking experiments were mapped over a dual pharmacophore which was developed from experimentally known dual inhibitors of hTS and hDHFR. Pharmacophore mapping procedure helped us in eliminating the compounds which do not possess basic chemical features necessary for dual inhibition. Finally, three structurally diverse hit compounds that showed key interactions at both active sites, mapped well upon the dual pharmacophore, and exhibited lowest binding energies were regarded as possible dual inhibitors of hTS and hDHFR. Furthermore, optimization studies were performed for final dual hit compound and eight optimized dual hits demonstrating excellent binding features at target systems were also regarded as possible dual inhibitors of hTS and hDHFR. In general, the strategy used in the current study could be a promising computational approach and may be generally applicable to other dual target drug designs.     

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.     

HIV-1跨膜蛋白gp41与N-取代吡咯衍生物的结合模式研究

采用分子对接,分子动力学(MD)模拟和分子力学/泊松-波尔兹曼溶剂可有面积方法与分子力学/广义伯恩溶剂可及面积方法(MM-PBSA/MM-GBSA),预测两种N-取代吡咯衍生物与HIV-1 跨膜蛋白gp41疏水口袋的结合模式与作用机理．分子对接采用多种受体构象,并从结果中选取几种可能的结合模式进行MD 模拟,然后通过MM-PBSA计算结合能的方法识别最优的结合模式. MM-PBSA计算结果表明,范德华相互作用是结合的主要驱动力,而极性相互作用决定了配体在结合过程中的取向．进一步的结合能分解显示,配体的羧基与gp41残基Arg579的静电相互作用对结合有重要贡献．上述工作为进一步优化N-取代吡咯衍生物类的HIV-1融合抑制剂建立了良好的理论基础．     

Molecular modeling and evaluation of binding mode and affinity of artemisinin-quinine hybrid and its congeners with Fe-protoporphyrin-IX as a putative receptor

A recent rational approach to anti-malarial drug design is characterized as "covalent biotherapy" involves linking of two molecules with individual intrinsic activity into a single agent, thus packaging dual activity into a single hybrid molecule. In view of this background and reported anti malaria synergism between artemisinin and quinine; we describe the computer-assisted docking to predict molecular interaction and binding affinity of Artemisinin-Quinine hybrid and its derivatives with the intraparasitic haeme group of human haemoglobin. Starting from a crystallographic structure of Fe-protoporphyrin-IX, binding modes, orientation of peroxide bridge (Fe-O distance), docking score and interaction energy are predicted using the docking molecular mechanics based on generalized Born/surface area (MM-GBSA) solvation model. Seven new ligands were identified with a favourable glide score (XP score) and binding free energy (ΔG) with reference to the experimental structure from a data set of thirty four hybrid derivatives. The result shows the conformational property of the drug-receptor interaction and may lead to rational design and synthesis of improved potent artemisinin based hybrid antimalarial that target haemozoin formation.     

Identification of selective MMP-9 inhibitors through multiple e-pharmacophore,ligand-based pharmacophore,molecular docking,and density functional theory approaches

Matrix metalloproteinase-9 (MMP-9) is a significant target for the development of drugs for the treatment of arthritis, CNS disorders, and cancer metastasis. The structure-based and ligand-based methods were used for the virtual screening (VS) of database compounds to obtain potent and selective MMP-9 inhibitors. Experimentally known MMP-9 inhibitors were used to grow up ligand-based three pharmacophore models utilizing Schrodinger suite. The X-ray crystallographic structures of MMP-9 with different inhibitors were used to develop five energy-optimized structure-based (e-pharmacophore) models. All developed pharmacophores were validated and applied to screen the Zinc database. Pharmacophore matched compounds were subjected to molecular docking to retrieve hits with novel scaffolds. The molecules with diverse structures, high docking scores and low binding energies for various crystal structures of MMP-9, were selected as final hits. The Induced fit docking (IFD) analysis provided significant information about the driving of inhibitor to approve a suitable bioactive conformational position in the active site of protein. Since charge transfer reaction occurs during receptor–ligand interaction, therefore, electronic features of hits (ligands) are interesting parameters to explain the binding interactions. Density functional theory (DFT) at B3LYP/6-31G* level was utilized to explore electronic features of hits. The docking study of hits using AutoDock was helpful to establish the binding interactions. The study illustrates that the combined pharmacophore approach is advantageous to identify diverse hits which have better binding affinity to the active site of the enzyme for all possible bioactive conformations. The approach used in the study is worthy to design drugs for other targets.     

Prediction of binding modes for ligands in the cytochromes P450 and other heme-containing proteins

The cytochromes P450 (P450s) are a family of heme-containing monooxygenase enzymes involved in a variety of functions, including the metabolism of endogenous and exogenous substances in the human body. During lead optimization, and in drug development, many potential drug candidates are rejected because of the affinity they display for drug-metabolising P450s. Recently, crystal structures of human enzymes involved in drug metabolism have been determined, significantly augmenting the prospect of using structure-based design to modulate the binding and metabolizing properties of compounds against P450 proteins. An important step in the application of structure-based metabolic optimization is the accurate prediction of docking modes in heme binding proteins. In this paper we assess the performance of the docking program GOLD at predicting the binding mode of 45 heme-containing complexes. We achieved success rates of 64% and 57% for Chemscore and Goldscore respectively; these success rates are significantly lower than the value of 79% observed with both scoring functions for the full GOLD validation set. Re-parameterization of metal-acceptor interactions and lipophilicity of planar nitrogen atoms in the scoring functions resulted in a significant increase in the percentage of successful dockings against the heme binding proteins (Chemscore 73%, Goldscore 65%). The modified scoring functions will be useful in docking applications on P450 enzymes and other heme binding proteins.     

Structure-based analysis and biological characterization of imatinib derivatives reveal insights towards the inhibition of wild-type BCR-ABL and its mutants

To reveal insights into the inhibition of BCR-ABL and its mutants, structure-based computing methods, such as docking, molecular dynamics (MD) simulation, the molecular mechanics generalized born surface area (MMGBSA), and biological characterizations, were employed to analyze two main pharmacophore zones and two related regions of imatinib derivatives. The hydrophobic and halogen interactions formed by the trifluoromethyl, as well as T-shaped π-π interactions formed by the pyrimidine, were confirmed. For the imatinib derivatives, the impacts of the amide moiety (region A) and the pyridine (region B) on the formed interactions were explored. To reveal insights into the inhibition of BCR-ABL mutants, the bioactivities of imatinib, nilotinib and flumatinib against BCR-ABL mutants were evaluated, and a point mutant (Y253F) of BCR-ABL was simulated. The results of our structure-based analysis and biological characterization of imatinib derivatives towards the inhibition of wild-type BCR-ABL and its mutants may provide new ideas for the design of imatinib analogs with potent activity.     

Molecular docking study of the interactions between the thioesterase domain of human fatty acid synthase and its ligands

Human fatty acid synthase (hFAS) thioesterase domain (TE) is an attractive drug target to treat obesity and cancer. On the basis of the recently published crystal structure of TE domain of hFAS, we performed molecular surface analysis and docking study to characterize the molecular interactions between the enzyme and its various ligands. Surface analysis identified the ligand-binding pocket of TE domain that encompasses the catalytic triad of Ser2308, His2481, Asp2338. Docking of palmitate, the main biological product of hFAS, into this pocket revealed the ligand-binding mode, in which the hydrophobic interactions are the dominant driving forces. The catalytic mechanism of TE domain can also be well explained based on the generated TE-palmitate complex structure. Moreover, the comparison of the binding modes of five fatty acids with chain lengths ranging from 12 to 20 carbons confirmed that the ligand binding pocket of TE domain is a decisive factor in chain length specificity. In addition, docking of two known TE inhibitors, c75 and orlistat revealed the pharmacophore of these hFAS TE inhibitors, which will prove useful in structure-based drug design against this important target.     

1,2-Benzisothiazol-3-one derivatives as a novel class of small-molecule caspase-3 inhibitors

A novel series of 1,2-benzisothiazol-3-one derivatives was synthesized and their biological activities were evaluated for inhibiting caspase-3 and -7 activities, in which some of them showed low nanomolar potency against caspase-3 in vitro and significant protection against apoptosis in a camptothecin-induced Jurkat T cells system. Among the tested compounds, compound 5i exhibited the most potent caspase-3 inhibitory activity (IC₅₀ = 1.15 nM). The molecular docking predicted the interactions and binding modes of the synthesized inhibitor in the caspase-3 active site.     

Synthesis and evaluation of N-acyl-substituted 1,2-benzisothiazol-3-one derivatives as caspase-3 inhibitors

A small molecule library of N-acyl-substituted 1,2-benzisothiazol-3-one derivatives has been synthesized and evaluated as inhibitors of caspase-3 and -7, in which some of them showed nanomolar potency against caspase-3 and -7 in vitro. Meanwhile, in 10 μM concentration, both compounds 24 and 25 showed significant protection against apoptosis in camptothecin-induced Jurkat T cells system. The docking studies predicted the interactions and binding modes of the synthesized inhibitors in the caspase-3 active site.     

Novel urushiol derivatives as HDAC8 inhibitors: rational design,virtual screening,molecular docking and molecular dynamics studies

Three series of novel urushiol derivatives were designed by introducing a hydroxamic acid moiety into the tail of an alkyl side chain and substituents with differing electronic properties or steric bulk onto the benzene ring and alkyl side chain. The compounds’ binding affinity toward HDAC8 was screened by Glide docking. The highest-scoring compounds were processed further with molecular docking, MD simulations, and binding free energy studies to analyze the binding modes and mechanisms. Ten compounds had Glide scores of ?8.2 to ?10.2, which revealed that introducing hydroxy, carbonyl, amino, or methyl ether groups into the alkyl side chain or addition of –F, –Cl, sulfonamide, benzamido, amino, or hydroxy substituents on the benzene ring could significantly increase binding affinity. Molecular docking studies revealed that zinc ion coordination, hydrogen bonding, and hydrophobic interactions contributed to the high calculated binding affinities of these compounds toward HDAC8. MD simulations and binding free energy studies showed that all complexes possessed good stability, as characterized by low RMSDs, low RMSFs of residues, moderate hydrogen bonding and zinc ion coordination and low values of binding free energies. Hie147, Tyr121, Phe175, Hip110, Phe119, Tyr273, Lys21, Gly118, Gln230, Leu122, Gly269, and Gly107 contributed favorably to the binding; and Van der Waals and electrostatic interactions provided major contributions to the stability of these complexes. These results show the potential of urushiol derivatives as HDAC8 binding lead compounds, which have great therapeutic potential in the treatment of various malignancies, neurological disorders, and human parasitic diseases.     

Homology modeling, active site prediction, and targeting the anti hypertension activity through molecular docking on endothelin - B receptor domain

In cardiovascular system, activation of Endothelin receptors causes vasoconstriction which leads to Pulmonary Arterial Hypertension (PAH). Endothelin receptor antagonism has emerged as an important therapeutic strategy in pulmonary arterial hypertension. Bosentan is intended to affect vasoconstriction, hypertrophic and fibrotic effects by blocking the actions of receptors ET(A) and ET(B). In this study we identified the action of Bosentan on endothelin B receptor using docking studies with homology modeled endothelin B receptor. Through the modeled protein, the flexible Docking study was performed with Bosentan and its derivatives with theoretically predicted active sites. The results indicated that amino acid ARG82, ARG84 and HIS197 present in endothelin B receptor are core important for binding activities and these residues are having strong hydrogen bond interactions with Bosentan. We have investigated the Bosentan and its derivatives interactions and scoring parameters using gold docking package. Among the docked compounds, one of the Bosentan derivatives BD(6) shows better interaction than Bosentan with endothelin B receptor. Our results may be helpful for further investigations in both in vivo and in vitro conditions.     

Design,synthesis and biological evaluation of 2-indolinone derivatives as PAK1 inhibitors in MDA-MB-231 cells

P21-activated kinase 1 (PAK1) plays a vital role in the proliferation, survival and migration of cancer cells, which has emerged as a promising drug target for cancer therapy. In this study, a series of 2-indolinone derivatives were designed and synthesized through a structure-based strategy. A potent PAK1 inhibitor (ZMF-005) was discovered, which presented an IC₅₀ value of 0.22 μM against PAK1 with potent antiproliferative activity. Furthermore, we predicted the binding mode of ZMF-005 and PAK1 by molecule docking and dynamic (MD) simulation. In addition, ZMF-005 was documented to induce significant apoptosis and suppress migration in MDA-MB-231 cells. Collectively, these findings revealed that ZMF-005 is a novel potent PAK1 inhibitor for breast cancer treatment.     

Refined homology model of cytochrome bcc complex B subunit for virtual screening of potential anti-tuberculosis agents

Abstract

Cytochrome bcc complex is important for ATP synthesis and cellular activity, as a crucial step in the terminal reduction of oxygen in aerobic electron transport chains. The b subunit of cytochrome bcc complex (QcrB) has been reported as a promising anti-tuberculosis target, with many novel anti-tuberculosis scaffolds reported. However, the 3D structure of mycobacterium tuberculosis (M. tuberculosis) QcrB has not been released, making it hard to understand the interactions between QcrB and its inhibitors as well as to develop novel anti-tuberculosis scaffolds. Herein we built the optimal homology model of M. tuberculosis QcrB using the M. smegmatis QcrB structure as template, which was refined through all-atom molecular dynamics simulation. Then, the binding modes of known inhibitors were predicted through molecular docking method, along with molecular dynamics simulation and binding free energy calculation to verify the accuracy of docking results and stability of the protein-inhibitor complexes. The informative key residues within QcrB site enabled us to perform structure-based virtual library screening to obtain potential M. tuberculosis QcrB inhibitors, which were validated through molecular dynamics simulation and MM-GBSA calculation and analyzed through pharmacokinetic properties prediction. Our research would provide a deeper insight into the interactions between M. tuberculosis QcrB and its inhibitors, which boosts to develop novel therapy against tuberculosis.

Communicated by Ramaswamy H. Sarma     

Computational studies of the binding modes of A<Subscript>2A</Subscript> adenosine receptor antagonists

A molecular docking study was performed on several structurally diverse A(2A) AR antagonists, including xanthines, and non-xanthine type antagonists to investigate their binding modes with A(2A) adenosine receptor (AR), one of the four subtypes of AR, which is currently of great interest as a target for therapeutic intervention, in particular for Parkinson's disease. The high-affinity binding site was found to be a hydrophobic pocket with the involvement of hydrogen bonding interactions as well as pi-pi stacking interactions with the ligands. The detailed binding modes for both xanthine and non-xanthine type A(2A) antagonists were compared and the essential features were extracted and converted to database searchable queries for virtual screening study of novel A(2A) AR antagonists. Findings from this study are helpful for elucidating the binding pattern of A(2A) AR antagonists and for the design of novel active ligands.