Determination of membrane-insertion free energies by molecular dynamics simulations

The accurate prediction of membrane-insertion probability for arbitrary protein sequences is a critical challenge to identifying membrane proteins and determining their folded structures. Although algorithms based on sequence statistics have had moderate success, a complete understanding of the energetic factors that drive the insertion of membrane proteins is essential to thoroughly meeting this challenge. In the last few years, numerous attempts to define a free-energy scale for amino-acid insertion have been made, yet disagreement between most experimental and theoretical scales persists. However, for a recently resolved water-to-bilayer scale, it is found that molecular dynamics simulations that carefully mimic the conditions of the experiment can reproduce experimental free energies, even when using the same force field as previous computational studies that were cited as evidence of this disagreement. Therefore, it is suggested that experimental and simulation-based scales can both be accurate and that discrepancies stem from disparities in the microscopic processes being considered rather than methodological errors. Furthermore, these disparities make the development of a single universally applicable membrane-insertion free energy scale difficult.     

Molecular dynamics simulations on HIV-1 Tat

Molecular dynamics simulations are used to investigate dynamics and intramolecular interactions of the HIV-1 transactivator (Tat) in aqueous solution. The calculations are based on the AMBER force field with particle mesh Ewald treatment for long-range electrostatics. The Tat structure exhibits a large flexibility, consistent with its absence of secondary structure elements. From an analysis of the correlation matrix and of electrostatic interactions we suggest that segments expressed by the two exons (amino acids 1-72 and 73-86, respectively) exhibit rather separated dynamic and energetic properties. We also identify intramolecular interactions of importance for structure stabilization. In particular, significant electrostatic interactions are recognized between the N-terminus and the basic domain of the protein, consistent with site-directed mutagenesis performed in this work.     

Interdomain dynamics and ligand binding: molecular dynamics simulations of glutamine binding protein

Periplasmic binding proteins from Gram-negative bacteria possess a common architecture, comprised of two domains linked by a hinge region, a fold which they share with the neurotransmitter-binding domains of ionotropic glutamate receptors (GluRs). Glutamine-binding protein (GlnBP) is one such protein, whose crystal structure has been solved in both open and closed forms. Multi-nanosecond molecular dynamics simulations have been used to explore motions about the hinge region and how they are altered by ligand binding. Glutamine binding is seen to significantly reduce inter-domain motions about the hinge region. Essential dynamics analysis of inter-domain motion revealed the presence of both hinge-bending and twisting motions, as has been reported for a related sugar-binding protein. Significantly, the influence of the ligand on GlnBP dynamics is similar to that previously observed in simulations of rat glutamate receptor (GluR2) ligand-binding domain. The essential dynamics analysis of GlnBP also revealed a third class of motion which suggests a mechanism for signal transmission in GluRs.     

Structural and dynamical properties of a full-length HIV-1 integrase: molecular dynamics simulations

The structural and dynamical properties of the complete full-length structure of HIV-1 integrase were investigated using Molecular Dynamics approach. Simulations were carried out for the three systems, core domain only (CORE), full-length structure without (FULL) and with a Mg2+ (FULL+ION) in its active site, aimed to investigate the difference in the molecular properties of the full-length models due to their different construction procedures as well as the effects of the two ends, C- and N-terminal, on those properties in the core domain. The full-length structure was prepared from the two experimental structures of two-domain fragment. The following properties were observed to differ significantly from the previous reports: (i) relative topology formed by an angle between the three domains; (ii) the cavity size defined by the catalytic triad, Asp64, Asp116, and Glu152; (iii) distances and solvation of the Mg2+; and (iv) conformation of the catalytic residues. In addition, the presence of the two terminal domains decreases the mobility of the central core domain significantly.     

Insight into the binding mode of a novel LSD1 inhibitor by molecular docking and molecular dynamics simulations

Abstract

Lysine-specific demethylase (LSD1) is an important enzyme for histone lysine methylation. Downregulated LSD1 expression has been linked to cancer proliferation, migration and invasion, indicating that it is an important target for anti-cancer medication. In the present study, the binding modes of a recent reported new series of LSD1 inhibitor were analyzed by using molecular docking and molecular dynamics simulations. A binding mode of these inhibitors was proposed based on the results. According to this binding mode, Thr628 can form two important hydrogen bonds with these inhibitors. Moreover, if the inhibitors can form an additional hydrogen bond with hydroxyl group of Ser289, the potency of the inhibitor can be greatly improved, such as the best inhibitor (compound 12d) in this series. Hydrophobic interactions between the inhibitors and LSD1 are also key contributor here, such as the interaction between the hydrophobic groups (benzene rings) of the inhibitors and the hydrophobic residues of LSD1 (including Val288, Val317, Val811, Ala814, Leu659, Trp751 and Tyr761). Based on the results and analysis, it may provide some useful information for future novel LSD1 inhibitor design.     

Full length Vpu from HIV-1: combining molecular dynamics simulations with NMR spectroscopy

Based on structures made available by solution NMR, molecular models of the protein Vpu from HIV-1 were built and refined by 6 ns MD simulations in a fully hydrated lipid bilayer. Vpu is an 81 amino acid type I integral membrane protein encoded by the human immunodeficiency virus type-1 (HIV-1) and closely related simian immunodeficiency viruses (SIVs). Its role is to amplify viral release. Upon phosphorylation, the cytoplasmic domain adopts a more compact shape with helices 2 and 3 becoming almost parallel to each other. A loss of helicity for several residues belonging to the helices adjacent to both ends of the loop region containing serines 53 and 57 is observed. A fourth helix, present in one of the NMR-based structures of the cytoplasmic domain and located near the C-terminus, is lost upon phosphorylation.     

Binding pathway of retinal to bacterio-opsin: a prediction by molecular dynamics simulations

Formation of bacteriorhodopsin (bR) from apoprotein and retinal has been studied experimentally, but the actual pathway, including the point of entry, is little understood. Molecular dynamics simulations provide a surprisingly clear prediction. A window between bR helices E and F in the transmembrane part of the protein can be identified as an entry point for retinal. Steered molecular dynamics, performed by applying a series of external forces in the range of 200-1000 pN over a period of 0.2 ns to retinal, allows one to extract this chromophore from bR once the Schiff base bond to Lys216 is cleaved. Extraction proceeds until the retinal tail forms a hydrogen bond network with Ala144, Met145, and Ser183 side groups lining the exit/entry window. The manipulation induces a distortion with a fitted root mean square deviation of coordinates (ignoring retinal, water, and hydrogen atoms) of less than 1.9 A by the time the retinal carbonyl reaches the protein surface. The forces needed to extract retinal are due to friction and do not indicate significant potential barriers. The simulations therefore suggest a pathway for the binding of retinal. Water molecules are found to play a crucial role in the binding process.     

Improved molecular dynamics simulations for the determination of peptide structures

In this article a few methods or modifications proven to be useful in the conformational examination of peptides and related molecules by molecular dynamics are illustrated. The first is the explicit use of organic solvents in the simulations. For many cases such solvents are appropriate since the nmr measurements (or other experimental observations) were carried out in the same solvent. Here, the use of dimethylsulfoxide and chloroform in molecular dynamics is described, with some advantages of the use of these solvents highlighted. A constant allowing for the scaling of the nonbonded interactions of the force field, an idea previously employed in distance geometry and simulated annealing, has been implemented. The usefulness of this method is that when the nonbonded term is turned to zero, atoms can pass through each other, while the connectivity of the molecule is maintained. It will be shown that such simulations, if a sufficient driving force is present (i.e., nuclear Overhauser effects restraints), can produce the correct stereoconfiguration (i.e., chiral center) as well as configurational isomer (i.e., cis/trans isomers). Lastly, a penalty term for coupling constants directly related to the Karplus curve has been plemented into the potential energy force field. The advantages of this method over the commonly used dihedral angle restraining are discussed. In particular, it is shown that with more than one coupling constant about a dihedral angle a great reduction of the allowed conformational space is obtained. © 1993 John Wiley & Sons, Inc.     

Glycan binding and specificity of viral influenza neuraminidases by classical molecular dynamics and replica exchange molecular dynamics simulations

Two important glycoproteins on the influenza virus membrane, hemagglutinin (HA) and neuraminidase (NA), are relevant to virus replication. As previously reported, HA has a substrate specificity towards SIA-2,3-GAL-1,4-NAG (3SL) and SIA-2,6-GAL-1,4-NAG (6SL) glycans, while NA can cleave both types of linkages. However, the substrate binding into NA and its preference are not well understood. In this work, the glycan binding and specificity of human and avian NAs were evaluated by classical molecular dynamics (MD) simulations, whilst the conformational diversity of 3SL avian and 6SL human glycans in an unbound state was investigated by replica exchange MD simulations. The results indicated that the 3SL avian receptor fits well in the binding cavity of all NAs and does not require a conformational change for such binding compared to the flexible shape of the 6SL human receptor. From the QM/MM-GBSA binding free energy and decomposition free energy data, 6SL showed a much stronger binding towards human NAs (H1N1, H2N2 and H3N2) than to avian NAs (H5N1 and H7N9). This suggests that influenza NAs have a substrate specificity corresponding to their HA, indicating the functional balance between the two important glycoproteins. Both linkages show distinct glycan topologies when complexed with NAs, while the flexibility of torsion angles between GAL and NAG in 6SL results in the various shapes of glycan and different binding patterns. Lower conformational diversities of both glycans when bound to NA compared to the unbound state were found, and were required in order to be accommodated within the NA cavity.

Communicated by Ramaswamy H. Sarma     

Analysis of ligand binding to proteins using molecular dynamics simulations

This work aims to explore theoretically the molecular mechanisms of ligand binding to proteins through the use of molecular dynamics simulations. The binding of sodium dodecyl sulfate (SDS) to cobra cardio toxin A3 (CTX A3) and thiourea (TOU) to lysozyme have been chosen as the two model systems. Data acquisitions were made by Gromacs software. To begin with, the collisions of ligand molecules with every residue of CTX A3 and lysozyme were evaluated. With this information in hand, the average numbers of collisions with each residue was defined and then assessed. Next, a measure of the affinity of a residue, P_i, referred to as conformational factor, toward a ligand molecule was established. Based on the results provided, all site-making residues for CTX A3 and lysozyme were identified. The results are in good agreement with the experimental data. Finally, based on this method, all site-making residues of bovine carbonic anhydrase (BCA) toward the SDS ligand were predicted.     

Investigation of selective binding of inhibitors to PTP1B and TCPTP by accelerated molecular dynamics simulations

Abstract

Protein tyrosine phosphatase 1B (PTP1B), a key negative regulator in insulin signaling pathways, is regarded as a potential target for the treatment of type II diabetes and obesity. However, the mechanism underlying the selectivity of PTP1B inhibitors against T-cell protein tyrosine phosphatase (TCPTP) remains controversial, which is due to the high similarity between PTP1B and TCPTP sequence and the fact that no ligand–protein complex of TCPTP has been established yet. Here, the accelerated molecular dynamics (aMD) method was used to investigate the structural dynamics of PTP1B and TCPTP that are bound by two chemically similar inhibitors with distinct selectivity. The conformational transitions during the “open” to “close” states of four complexes were captured, and free energy profiles of important residue pairs were analyzed in detail. Additional MM-PBSA calculations confirmed that the binding free energies of final states were consistent with the experimental results, and the energetic contributions of important residues were further investigated by alanine scanning mutagenesis. By comparing the four complexes, the different conformational behavior of WPD-loop, R-loop, and the second pTyr binding site induced by inhibitors were featured and found to be crucial for the selectivity of inhibitors. This study provides new mechanistic insights of specific binding of inhibitors to PTP1B and TCPTP, which can be exploited to the further structural-based inhibitor design.

Communicated by Ramaswamy H. Sarma     

The investigations on HIV-1 gp120 bound with BMS-488043 by using docking and molecular dynamics simulations

BMS-488043, like its predecessor BMS-378806, is a small molecule that can block the interactions between gp120 and CD4, and has shown good clinical efficacy. However, the crystal structure of drug-gp120 complexes or the full-length gp120 free of bound ligand is unpublished until now. Docking combined with molecular dynamics simulation is used to investigate the binding mode between BMS-488043 and gp120. On the basis of the analysis of the simulated results, the plausible binding mode is acquired, such as the changes of binding mode in the trajectory and the calculated binding free energy. Subsequently, a number of residues which make contacts with the small molecule are studied by binding free energy decomposition to understand the mutation experiments, such as Trp427, Ser375, and Thr257 residues with the help of the acquired binding mode above. Especially, the importance of the hydrophobic groove formed by residues Ile371 and Gly472 which bind BMS-488043 is elaborated, which has not been explored much. In addition, theoretical investigations on the dynamics behavior of the gp120 associated with BMS-488043 enhanced binding are performed; the results indicate that the BMS-488043 may be more deeply inserted into the Phe43 cavity compared with the previous binding mode acquired by docking.     

Gated binding of ligands to HIV-1 protease: Brownian dynamics simulations in a coarse-grained model

The internal motions of proteins may serve as a "gate" in some systems, which controls ligand-protein association. This study applies Brownian dynamics simulations in a coarse-grained model to study the gated association rate constants of HIV-1 proteases and drugs. The computed gated association rate constants of three protease mutants, G48V/V82A/I84V/L90M, G48V, and L90M with three drugs, amprenavir, indinavir, and saquinavir, yield good agreements with experiments. The work shows that the flap dynamics leads to "slow gating". The simulations suggest that the flap flexibility and the opening frequency of the wild-type, the G48V and L90M mutants are similar, but the flaps of the variant G48V/V82A/I84V/L90M open less frequently, resulting in a lower gated rate constant. The developed methodology is fast and provides an efficient way to predict the gated association rate constants for various protease mutants and ligands.     

Validation of the mechanism of cholesterol binding by StAR using short molecular dynamics simulations

We previously proposed an original two-state cholesterol binding mechanism by StAR, in which the C-terminal α-helix of StAR gates the access of cholesterol to its binding site cavity. This cavity, which can accommodate one cholesterol molecule, was proposed to promote the reversible unfolding of the C-terminal α-helix and allow for the entry and dissociation of cholesterol. In our molecular model of the cholesterol–StAR complex, the hydrophobic moiety of cholesterol interacts with hydrophobic amino acid side-chains located in the C-terminal α-helix and at the bottom of the cavity. In this study, we present a structural in silico analysis of StAR. Molecular dynamics simulations showed that point mutations of Phe²⁶⁷, Leu²⁷¹ or Leu²⁷⁵ at the α-helix 4 increased the gyration radius (more flexibility) of the protein's structure, whereas the salt bridge double mutant E169M/R188M showed a decrease in flexibility (more compactness). Also, in the latter case, an interaction between Met¹⁶⁹ and Phe²⁶⁷ disrupted the hydrophobic cavity, rendering it impervious to ligand binding. These obtained results are in agreement with previous in vitro experiments, and provide further validation of the two-state binding mode of action.     

Insights on pH-dependent conformational changes of mosquito odorant binding proteins by molecular dynamics simulations

Chemical recognition plays an important role for the survival and reproduction of many insect species. Odorant binding proteins (OBPs) are the primary components of the insect olfactory mechanism and have been documented to play an important role in the host-seeking mechanism of mosquitoes. They are “transport proteins” believed to transport odorant molecules from the external environment to their respective membrane targets, the olfactory receptors. The mechanism by which this transport occurs in mosquitoes remains a conundrum in this field. Nevertheless, OBPs have proved to be amenable to conformational changes mediated by a pH change in other insect species. In this paper, the effect of pH on the conformational flexibility of mosquito OBPs is assessed computationally using molecular dynamics simulations of a mosquito OBP “CquiOBP1” bound to its pheromone 3OG (PDB ID: 3OGN). Conformational twist of a loop, driven by a set of well-characterized changes in intramolecular interactions of the loop, is demonstrated. The concomitant (i) closure of what is believed to be the entrance of the binding pocket, (ii) expansion of what could be an exit site, and (iii) migration of the ligand towards this putative exit site provide preliminary insights into the mechanism of ligand binding and release of these proteins in mosquitoes. The correlation of our results with previous experimental observations based on NMR studies help us provide a cardinal illustration on one of the probable dynamics and mechanism by which certain mosquito OBPs could deliver their ligand to their membrane-bound receptors at specific pH conditions.     

Characterization of diadzein-hemoglobin binding using optical spectroscopy and molecular dynamics simulations

The present study establishes the effectiveness of natural drug delivery mechanisms and investigates the interactions between drug and its natural carrier. The binding between the isoflavone diadzein (DZN) and the natural carrier hemoglobin (HbA) was studied using optical spectroscopy and molecular dynamics simulations. The inherent fluorescence emission characteristics of DZN along with that of tryptophan (Trp) residues of the protein HbA were exploited to elucidate the binding location and other relevant parameters of the drug inside its delivery vehicle HbA. Stern-Volmer studies at different temperatures indicate that static along with collisional quenching mechanisms are responsible for the quenching of protein fluorescence by the drug. Molecular dynamics and docking studies supported the hydrophobic interactions between ligand and protein, as was observed from spectroscopy. DZN binds between the subunits of HbA, ～15 ? away from the closest heme group of chain α1, emphasizing the fact that the drug does not interfere with oxygen binding site of HbA.     

HIV-1 protease substrate binding and product release pathways explored with coarse-grained molecular dynamics

We analyze the encounter of a peptide substrate with the native HIV-1 protease, the mechanism of substrate incorporation in the binding cleft, and the dissociation of products after substrate hydrolysis. To account for the substrate, we extend a coarse-grained model force field, which we previously developed to study the flap opening dynamics of HIV-1 protease on a microsecond timescale. Molecular and Langevin dynamics simulations show that the flaps need to open for the peptide to bind and that the protease interaction with the substrate influences the flap opening frequency and interval. On the other hand, release of the products does not require flap opening because they can slide out from the binding cleft to the sides of the enzyme. Our data show that in the protease-substrate complex the highest fluctuations correspond to the 17- and 39-turns and the substrate motion is anticorrelated with the 39-turn. Moreover, the active site residues and the flap tips move in phase with the peptide. We suggest some mechanistic principles for how the flexibility of the protein may be involved in ligand binding and release.     

Substrate binding and translocation of the serotonin transporter studied by docking and molecular dynamics simulations

The serotonin (5-HT) transporter (SERT) plays an important role in the termination of 5-HT-mediated neurotransmission by transporting 5-HT away from the synaptic cleft and into the presynaptic neuron. In addition, SERT is the main target for antidepressant drugs, including the selective serotonin reuptake inhibitors (SSRIs). The three-dimensional (3D) structure of SERT has not yet been determined, and little is known about the molecular mechanisms of substrate binding and transport, though such information is very important for the development of new antidepressant drugs. In this study, a homology model of SERT was constructed based on the 3D structure of a prokaryotic homologous leucine transporter (LeuT) (PDB id: 2A65). Eleven tryptamine derivates (including 5-HT) and the SSRI (S)-citalopram were docked into the putative substrate binding site, and two possible binding modes of the ligands were found. To study the conformational effect that ligand binding may have on SERT, two SERT–5-HT and two SERT–(S)-citalopram complexes, as well as the SERT apo structure, were embedded in POPC lipid bilayers and comparative molecular dynamics (MD) simulations were performed. Our results show that 5-HT in the SERT–5-HT^B complex induced larger conformational changes in the cytoplasmic parts of the transmembrane helices of SERT than any of the other ligands. Based on these results, we suggest that the formation and breakage of ionic interactions with amino acids in transmembrane helices 6 and 8 and intracellular loop 1 may be of importance for substrate translocation.     

Accurate detection of protein:ligand binding sites using molecular dynamics simulations

Accurate prediction of location of cavities and surface grooves in proteins is important, as these are potential sites for ligand binding. Several currently available programs for cavity detection are unable to detect cavities near the surface or surface grooves. In the present study, an optimized molecular dynamics based procedure is described for detection and quantification of interior cavities as well as surface pockets. This is based on the observation that the mobility of water in such pockets is significantly lower than that of bulk water. The algorithm efficiently detects surface grooves that are sites of protein-ligand and protein-protein interaction. The algorithm was also used to substantially improve the performance of an automated docking procedure for docking monomers of nonobligate protein-protein complexes. In addition, it was applied to predict key residues involved in the binding of the E. coli toxin CcdB with its inhibitor. Predictions were subsequently validated by mutagenesis experiments.