Free energy simulations and MM-PBSA analyses on the affinity and specificity of steroid binding to antiestradiol antibody

Antiestradiol antibody 57-2 binds 17beta-estradiol (E2) with moderately high affinity (K(a) = 5 x 10(8) M(-1)). The structurally related natural estrogens estrone and estriol as well synthetic 17-deoxy-estradiol and 17alpha-estradiol are bound to the antibody with 3.7-4.9 kcal mol(-1) lower binding free energies than E2. Free energy perturbation (FEP) simulations and the molecular mechanics-Poisson-Boltzmann surface area (MM-PBSA) method were applied to investigate the factors responsible for the relatively low cross-reactivity of the antibody with these four steroids, differing from E2 by the substituents of the steroid D-ring. In addition, computational alanine scanning of the binding site residues was carried out with the MM-PBSA method. Both the FEP and MM-PBSA methods reproduced the experimental relative affinities of the five steroids in good agreement with experiment. On the basis of FEP simulations, the number of hydrogen bonds formed between the antibody and steroids, which varied from 0 to 3 in the steroids studied, determined directly the magnitude of the steroid-antibody interaction free energies. One hydrogen bond was calculated to contribute about 3 kcal mol(-1) to the interaction energy. Because the relative binding free energies of estrone (two antibody-steroid hydrogen bonds), estriol (three hydrogen bonds), 17-deoxy-estradiol (no hydrogen bonds), and 17alpha-estradiol (two hydrogen bonds) are close to each other and clearly lower than that of E2 (three hydrogen bonds), the water-steroid interactions lost upon binding to the antibody make an important contribution to the binding free energies. The MM-PBSA calculations showed that the binding of steroids to the antiestradiol antibody is driven by van der Waals interactions, whereas specificity is solely due to electrostatic interactions. In addition, binding of steroids to the antiestradiol antibody 57-2 was compared to the binding to the antiprogesterone antibody DB3 and antitestosterone antibody 3-C4F5, studied earlier with the MM-PBSA method.     

Computational investigation of the HIV-1 Rev multimerization using molecular dynamics simulations and binding free energy calculations

The HIV Rev protein mediates the nuclear export of viral mRNA, and is thereby essential for the production of late viral proteins in the replication cycle. Rev forms a large organized multimeric protein-protein complex for proper functioning. Recently, the three-dimensional structures of a Rev dimer and tetramer have been resolved and provide the basis for a thorough structural analysis of the binding interaction. Here, molecular dynamics (MD) and binding free energy calculations were performed to elucidate the forces thriving dimerization and higher order multimerization of the Rev protein. It is found that despite the structural differences between each crystal structure, both display a similar behavior according to our calculations. Our analysis based on a molecular mechanics-generalized Born surface area (MM/GBSA) and a configurational entropy approach demonstrates that the higher order multimerization site is much weaker than the dimerization site. In addition, a quantitative hot spot analysis combined with a mutational analysis reveals the most contributing amino acid residues for protein interactions in agreement with experimental results. Additional residues were found in each interface, which are important for the protein interaction. The investigation of the thermodynamics of the Rev multimerization interactions performed here could be a further step in the development of novel antiretrovirals using structure based drug design. Moreover, the variability of the angle between each Rev monomer as measured during the MD simulations suggests a role of the Rev protein in allowing flexibility of the arginine rich domain (ARM) to accommodate RNA binding.     

Exploring the mechanism how AF9 recognizes and binds H3K9ac by molecular dynamics simulations and free energy calculations

Histone acetylation is a very important regulatory mechanism in gene expression in the chromatin context. A new protein family‐YEATS domains have been found as a novel histone acetylation reader, which could specific recognize the histone lysine acetylation. AF9 is an important one in the YEATS family. Focused on the AF9‐H3K9ac (K9 acetylation) complex (ALY) (PDB code: 4TMP) and a serials of mutants, MUT (the acetyllsine of H3K9ac was mutated to lysine), F59A, G77A, and D103A, we applied molecular dynamics simulation and molecular mechanics Poisson?Boltzmann (MM‐PBSA) free energy calculations to examine the role of AF9 protein in recognition interaction. The simulation results and analysis indicate that some residues of the protein have significant influence on recognition and binding to H3K9ac peptides and hydrophobic surface show the hydrophobic interactions play an important role in the binding. Our work can give important information to understand how the protein AF9 recognizes the peptides H3K9ac. © 2016 Wiley Periodicals, Inc. Biopolymers 105: 779–786, 2016.     

Free energy calculations for theophylline binding to an RNA aptamer: Comparison of MM-PBSA and thermodynamic integration methods

We have applied the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method (J. Srinivasan, T. E. Cheatham, P. Cieplak, P. A. Kollman, and D. A. Case, Journal of the American Chemical Society, 1998, Vol. 120, pp. 9401-9409) to study the interaction of an RNA aptamer with theophylline and its analogs. The MM-PBSA free energy analysis provides a reasonable absolute binding free energy for the RNA aptamer-theophylline complex formation. Energetic analysis reveals that the van der Waals interaction and the nonpolar contribution to solvation provide the basis for the favorable absolute free energy of complex. This trend is similar to other protein-ligand interactions studied previously. The MM-PBSA method also ranks the relative binding energies of five theophylline analogs approximately correctly, but not as well as the more conventional thermodynamic integration calculations, which were carried out to convert theophylline into its analogs. The comparison of MM-PBSA with TI suggests that the MM-PBSA method has some difficulties with the first-solvation-shell energetics.     

Dynamic control of allosteric antagonism of leukocyte function antigen-1 and intercellular adhesion molecule-1 interaction

Leukocyte function associated antigen-1 (LFA-1) plays a critical role in T cell migration and has been recognized as a therapeutic target for immune disorders. Several classes of small molecule antagonists have been developed to block LFA-1 interaction with intercellular adhesion molecule-1 (ICAM-1). Recent structural studies show that the antagonists bind to an allosteric site in the I-domain of LFA-1. However, it is not yet clear how these small molecules work as antagonists since no significant conformational change is observed in the I-domain-antagonist complex structures. Here we present a computational study suggesting how these allosteric antagonists affect the dynamics of the I-domain. The lowest frequency vibrational mode calculated from an LFA-1 I-domain structure shows large scale "coil-down" motion of the C-terminal alpha7 helix, which may lead to the open form of the I-domain. The presence of an allosteric antagonist greatly reduces this motion of the alpha7 helix as well as other parts of the I-domain. Thus, our study suggests that allosteric antagonists work by eliminating breathing motion that leads to the open conformation of the I-domain.     

Recognition mechanism of Wilms’ tumour suppressor protein and DNA triplets: insights from molecular dynamics simulation and free energy analysis

The Wilms’ tumour suppressor protein (WT1) plays a multifaceted role in human cancer processes. Mutations on its DNA recognition domain could lead to Denys–Drash syndrome, and alternate splicing results in insertion of the tripeptide Lys–Thr–Ser (KTS) between the third and fourth zinc fingers (ZFs), leading to changes in the DNA-binding function. However, detailed recognition mechanisms of the WT1–DNA complex have not been explored. To clarify the mutational effects upon WT1 towards DNA binding at the atomic level, molecular dynamics simulations and the molecular mechanics/Poisson Boltzmann surface area (MM/PBSA) method were employed. The simulation results indicate that mutations in ZF domains (E427Q and Q369H) may weaken the binding affinity, and the statistical analyses of the hydrogen bonds and hydrophobic interactions show that eight residues (Lys351, Arg366, Arg375, Arg376, Lys399, Arg403, Arg424 and Arg430) have a significant influence on recognition and binding to DNA. Insertion of the tripeptide KTS could form an immobilized hydrogen-bonding network with Arg403, affecting the flexibility and angle of the linker between ZF3 and ZF4, thus influencing the recognition between the protein and the DNA triplet at its 5′ terminus. These results represent the first step towards a thorough characterization of the WT1 recognition mechanisms, providing a better understanding of the structure–function relationship of WT1 and its mutants.     

Exploring binding modes of the selected inhibitors to phosphodiesterase delta by all-atom molecular dynamics simulations and free energy calculations

It’s favorable to alter KRas mutation’s location to endomembrane by interfering the binding of PDEδ (the prenyl-binding protein phosphodiesterase delta) to KRas. In the present work, the binding of four inhibitors (Deltarasin, allyl analogue, pyrazolopyridazinone derivative, and Deltazinone 1) to PDEδ is investigated with all-atom Molecular Dynamic (MD) simulations. The binding free energy calculation results reveal that van der Waals (VDW) energy provides the major force for affinity binding. Moreover, the binding energy decomposition indicates that residues R61 and I129 provide important contributions to binding energies in all systems. The conserved hydrogen bonds play crucial roles in anchoring the inhibitors to the exact site for binding. The results for conformational analysis of PDEδ/free and PDEδ/inhibitors systems show that the structures are more stable after the inhibitors’ binding to the PDEδ. It is also found that the most unstable system among four complexes is PDEδ/pyrazolopyridazinone derivative system whose α3-helix formed by the residues P113-Q116 disappears. This study may provide valuable information for the design of high potency PDEδ inhibitors.

Communicated by Ramaswamy H. Sarma     

Probing the interaction mechanism of small molecule inhibitors with matriptase based on molecular dynamics simulation and free energy calculations

Matriptase is a serine protease associated with a wide variety of human tumors and carcinoma progression. Up to now, many promising anti-cancer drugs have been developed. However, the detailed structure–function relationship between inhibitors and matriptase remains elusive. In this work, molecular dynamics simulation and binding free energy studies were performed to investigate the biochemistry behaviors of two class inhibitors binding to matriptase. The binding free energies predicted by MM/GBSA methods are in good agreement with the experimental bioactivities, and the analysis of the individual energy terms suggests that the van der Waals interaction is the major driving force for ligand binding. The key residues responsible for achieving strong binding have been identified by the MM/GBSA free energy decomposition analysis. Especially, Trp215 and Phe99 had an important impact on active site architecture and ligand binding. The results clearly identify the two class inhibitors exist different binding modes. Through summarizing the two different modes, we have mastered some important and favorable interaction patterns between matriptase and inhibitors. Our findings would be helpful for understanding the interaction mechanism between the inhibitor and matriptase and afford important guidance for the rational design of potent matriptase inhibitors.     

Insight into the key active sites of afChiA1 based on molecular dynamics simulations and free energy calculations

In this study, the binding of the enzyme chitinase A1 (afChiA1) from the plant-type Aspergillus fumigatus with four potent inhibitors, allosamidin (ASM), acetazolamide (AZM), 8-chloro-theophylline (CTP) and kinetin (KIT) is investigated by molecular docking, molecular dynamics simulation and binding free energy calculation. The results reveal that the electrostatic interactions play an important role in the stabilisation of the binding of afChiA1 with inhibitors. Based on the binding energy of afChiA1-ligands, the key residues (Gln37 and Trp312) in the active binding pocket of the complex systems are confirmed by molecular mechanics/Poisson–Boltzmann surface area method, and the active inhibitors, ASM and AZM, both could form strong interaction with Gln37 and Trp312, and the non-active ligands, CTP and KIT, could not interact with these two residues, which is consistent with the result of experimental report. Then, it is identified that Gln37 and Trp312 should be one of the important active site residues of afChiA1.     

Study of the insulin dimerization: binding free energy calculations and per-residue free energy decomposition

A calculation of the binding free energy for the dimerization of insulin has been performed using the molecular mechanics-generalized Born surface area approach. The calculated absolute binding free energy is -11.9 kcal/mol, in approximate agreement with the experimental value of -7.2 kcal/mol. The results show that the dimerization is mainly due to nonpolar interactions. The role of the hydrogen bonds between the 2 monomers appears to give the direction of the interactions. A per-atom decomposition of the binding free energy has been performed to identify the residues contributing most to the self association free energy. Residues B24-B26 are found to make the largest favorable contributions to the dimerization. Other residues situated at the interface between the 2 monomers were found to make favorable but smaller contributions to the dimerization: Tyr B16, Val B12, and Pro B28, and to an even lesser extent, Gly B23. The energy decomposition on a per-residue basis is in agreement with experimental alanine scanning data. The results obtained from a single trajectory (i.e., the dimer trajectory is also used for the monomer analysis) and 2 trajectories (i.e., separate trajectories are used for the monomer and dimer) are similar.     

Study on the inhibitory mechanism and binding mode of the hydroxycoumarin compound NSC158393 to HIV‐1 integrase by molecular modeling

Human immunodeficiency virus type 1 integrase (IN) is an essential enzyme in the life cycle of this virus and also an important target for the study of anti‐HIV drugs. In this work, the binding modes of the wild type IN core domain and the two mutants, that is, W132G and C130S, with the 4‐hydroxycoumarin compound NSC158393 were evaluated by using the “relaxed complex” molecular docking approach combined with molecular dynamics (MD) simulations. Based on the monomer MD simulations, both of the two substitutions affect not only the stability of the 128–136 peptides, but also the flexibility of the functional 140s loop. In principle, NSC158393 binds the 128–136 peptides of IN; however, the specific binding modes for the three systems are various. According to the binding mode of NSC158393 with WT, NSC158393 can effectively interfere with the stability of the IN dimer by causing a steric hindrance around the monomer interface. Additionally, through the comparative analysis of the MD trajectories of the wild type IN and the IN‐NSC158393 complex, we found that NSC15893 may also exert its inhibitory function by diminishing the mobility of the function loop of IN. Three key binding residues, that is, W131, K136, and G134, were discovered by energy decomposition calculated with the Molecular Mechanics Generalized Born Surface Area method. Characterized by the largest binding affinity, W131 is likely to be indispensable for the ligand binding. All the above results are consistent with experiment data, providing us some helpful information for understanding the mechanism of the coumarin‐based inhibitors. © 2009 Wiley Periodicals, Inc. Biopolymers 91: 700–709, 2009. This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com     

Identification of natural compound inhibitors against PfDXR: A hybrid structure-based molecular modeling approach and molecular dynamics simulation studies

In the present contribution, multicomplex-based pharmacophore studies were carried out on the structural proteome of Plasmodium falciparum 1-deoxy-D -xylulose-5-phosphate reductoisomerase. Among the constructed models, a representative model with complementary features, accountable for the inhibition was used as a primary filter for the screening of database molecules. Auxiliary evaluations of the screened molecules were performed via drug-likeness and molecular docking studies. Subsequently, the stability of the docked inhibitors was envisioned by molecular dynamics simulations, principle component analysis, and molecular mechanics-Poisson-Boltzmann surface area-based free binding energy calculations. The stability assessment of the hits was done by comparing with the reference (beta-substituted fosmidomycin analog, LC5) to prioritize more potent candidates. All the complexes showed stable dynamic behavior while three of them displayed higher binding free energy compared with the reference. The work resulted in the identification of the compounds with diverse scaffolds, which could be used as initial leads for the design of novel PfDXR inhibitors.     

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

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

Comparative molecular dynamics simulations of HIV-1 integrase and the T66I/M154I mutant: binding modes and drug resistance to a diketo acid inhibitor

HIV-1 IN is an essential enzyme for viral replication and an interesting target for the design of new pharmaceuticals for use in multidrug therapy of AIDS. L-731,988 is one of the most active molecules of the class of beta-diketo acids. Individual and combined mutations of HIV-1 IN at residues T66, S153, and M154 confer important degrees of resistance to one or more inhibitors belonging to this class. In an effort to understand the molecular mechanism of the resistance of T66I/M154I IN to the inhibitor L-731,988 and its specific binding modes, we have carried out docking studies, explicit solvent MD simulations, and binding free energy calculations. The inhibitor was docked against different protein conformations chosen from prior MD trajectories, resulting in 2 major orientations within the active site. MD simulations have been carried out for the T66I/M154I DM IN, DM IN in complex with L-731,988 in 2 different orientations, and 1QS4 IN in complex with L-731,988. The results of these simulations show a similar dynamical behavior between T66I/M154I IN alone and in complex with L-731,988, while significant differences are observed in the mobility of the IN catalytic loop (residues 138-149). Water molecules bridging the inhibitor to residues from the active site have been identified, and residue Gln62 has been found to play an important role in the interactions between the inhibitor and the protein. This work provides information about the binding modes of L-731,988, as well as insight into the mechanism of inhibitor-resistance in HIV-1 integrase.     

Quercetin derivatives as non-nucleoside inhibitors for dengue polymerase: molecular docking,molecular dynamics simulation,and binding free energy calculation

Dengue is an important public health problem in tropical and subtropical regions of the world. Neither vaccine nor an antiviral medication is available to treat dengue. This insists the need of drug discovery for dengue. In order to find a potent lead molecule, RNA-dependent RNA polymerase which is essential for dengue viral replication is chosen as a drug target. As Quercetin showed antiviral activity against several viruses, quercetin derivatives developed by combinatorial library synthesis and mined from PubChem databases were screened for a potent anti-dengue viral agent. Our study predicted Quercetin 3-(6″-(E)-p-coumaroylsophoroside)-7-rhamnoside as a dengue polymerase inhibitor. The results were validated by molecular dynamics simulation studies which reveal water bridges and hydrogen bonds as major contributors for the stability of the polymerase-lead complex. Interactions formed by this compound with residues Trp795, Arg792 and Glu351 are found to be essential for the stability of the polymerase-lead complex. Our study demonstrates Quercetin 3-(6″-(E)-p-coumaroylsophoroside)-7-rhamnoside as a potent non-nucleoside inhibitor for dengue polymerase.     

Understanding peptide competitive inhibition of botulinum neurotoxin a binding to SV2 protein via molecular dynamics simulations

Botulinum neurotoxins (BoNTs) are known as the most toxic natural substances. Synaptic vesicle protein 2 (SV2) has been proposed to be a protein receptor for BoNT/A. Recently, two short peptides (BoNT/A‐A2 and SV2C‐A3) were designed to inhibit complex formation between the BoNT/A receptor‐binding domain (BoNT/A‐RBD) and the synaptic vesicle protein 2C luminal domain (SV2C‐LD). In this article, the two peptide complex systems are studied by molecular dynamics (MD) simulations. The structural stability analysis indicates that BoNT/A‐A2 system is more stable than SV2C‐A3 system. The conformational analysis implies that the β‐sheet in BoNT/A‐A2 system maintains its secondary structure but the two β‐strands in SV2C‐A3 system have remarkable conformational changes. Based on the calculation of hydrogen bonds, hydrophobic interactions and cation‐π interactions, it is found that the internal hydrogen bonds play crucial roles in the structural stability of the peptides. Because of the stable secondary structure, the β‐sheet in BoNT/A‐A2 system establishes effective interactions at the interface and inhibits BoNT/A‐RBD binding to SV2C‐LD. In contrast, without other β‐strands forming internal hydrogen bonds, the two isolated β‐strands in SV2C‐A3 system become the random coil. This conformational change breaks important hydrogen bonds and weakens cation‐π interaction in the interface, so the complex formation is only partially inhibited by the two β‐strands. These results are consistent with experimental studies and may be helpful in understanding the inhibition mechanisms of peptide inhibitors. © 2015 Wiley Periodicals, Inc. Biopolymers 103: 597–608, 2015.     

Molecular dynamics simulations of peptides containing an unnatural amino acid: dimerization, folding, and protein binding

We have performed molecular dynamics (MD) simulations to study the dimerization, folding, and binding to a protein of peptides containing an unnatural amino acid. NMR studies have shown that the substitution of one residue in a tripeptide beta-strand by the unnatural amino acid Hao (5-HO2CCONH-2-MeO-C6H3-CO-NHNH2) modifies the conformational flexibility of the beta-strand and the hydrogen-bonding properties of its two edges: The number of hydrogen-bond donors and acceptors increases at one edge, whereas at the other, they are sterically hindered. In simulations in chloroform, the Hao-containing peptide 9 (i-PrCO-Phe-Hao-Val-NHBu) forms a beta-sheet-like hydrogen-bonded dimer, in good agreement with the available experimental data. Addition of methanol to the solution induces instability of this beta-sheet, as confirmed by the experiments. MD simulations also reproduce the folding of the synthetic peptide 1a (i-PrCO-Hao-Ut-Phe-Ile-Leu-NHMe) into a beta-hairpin-like structure in chloroform. Finally, the Hao-containing peptide, Ac-Ala-Hao-Ala-NHMe, is shown to form a stable complex with the Ras analogue, Rap1 A, in water at room temperature. Together with the available experimental data, these simulation studies indicate that Hao-containing peptides may serve as inhibitors of beta-sheet interactions between proteins.     

Zinc finger protein binding to DNA: an energy perspective using molecular dynamics simulation and free energy calculations on mutants of both zinc finger domains and their specific DNA bases

Energy calculations based on MM-GBSA were employed to study various zinc finger protein (ZF) motifs binding to DNA. Mutants of both the DNA bound to their specific amino acids were studied. Calculated energies gave evidence for a relationship between binding energy and affinity of ZF motifs to their sites on DNA. ΔG values were ?15.82(12), ?3.66(12), and ?12.14(11.6) kcal/mol for finger one, finger two, and finger three, respectively. The mutations in the DNA bases reduced the value of the negative energies of binding (maximum value for ΔΔG = 42Kcal/mol for F1 when GCG mutated to GGG, and ΔΔG = 22 kcal/mol for F2, the loss in total energy of binding originated in the loss in electrostatic energies upon mutation (r = .98). The mutations in key amino acids in the ZF motif in positions-1, 2, 3, and 6 showed reduced binding energies to DNA with correlation coefficients between total free energy and electrostatic was .99 and with Van der Waal was .93. Results agree with experimentally found selectivity which showed that Arginine in position-1 is specific to G, while Aspartic acid (D) in position 2 plays a complicated role in binding. There is a correlation between the MD calculated free energies of binding and those obtained experimentally for prepared ZF motifs bound to triplet bases in other reports (), our results may help in the design of ZF motifs based on the established recognition codes based on energies and contributing energies to the total energy.