Study of Early Events in the Protein Folding of Villin Headpiece using Molecular Dynamics Simulation

Quantum synergy in peptide folding: A comparative study of CVaR-variational quantum eigensolver and molecular dynamics simulation

One of the technological fields that is developing the fastest is quantum computing in biology. One of the main problems is protein folding, which calls for precise, effective algorithms with fast computing times. Mapping the least energy conformation state of proteins with disordered areas requires enormous computing resources. The current study uses quantum algorithms, such as the Variational Quantum Eigensolver (VQE), to estimate the lowest energy value of 50 peptides, each consisting of seven amino acids. To determine the ground state energy value, Variational Quantum Optimisation (VQE) is first utilised to generate the energy values along with Conditional Value at Risk (CVaR) as an aggregation function is applied over 100 iterations of 500,000 shots each. This is contrasted with 50 millisecond molecular dynamics-based simulations to determine the energy levels and folding pattern. In comparison to MD-based simulations, the results point to CvaR-VQE producing more effective folding outcomes with respect to sampling and global optimization. Protein folding can be solved to get deep insights into biological processes and drug formulation with improving quantum technology and algorithms.

Characterization of Ofloxacin Interaction with Mutated (A91V) Quinolone Resistance Determining Region of DNA Gyrase in Mycobacterium Leprae through Computational Simulation

Mycobacterium leprae, the causal agent of leprosy is non-cultivable in vitro. Thus, the assessment of antibiotic activity against Mycobacterium leprae depends primarily upon the time-consuming mouse footpad system. The GyrA protein of Mycobacterium leprae is the target of the antimycobacterial drug, Ofloxacin. In recent times, the GyrA mutation (A91V) has been found to be resistant to Ofloxacin. This phenomenon has necessitated the development of new, long-acting antimycobacterial compounds. The underlying mechanism of drug resistance is not completely known. Currently, experimentally crystallized GyrA-DNA-OFLX models are not available for highlighting the binding and mechanism of Ofloxacin resistance. Hence, we employed computational approaches to characterize the Ofloxacin interaction with both the native and mutant forms of GyrA complexed with DNA. Binding energy measurements obtained from molecular docking studies highlights hydrogen bond-mediated efficient binding of Ofloxacin to Asp47 in the native GyrA-DNA complex in comparison with that of the mutant GyrA-DNA complex. Further, molecular dynamics studies highlighted the stable binding of Ofloxacin with native GyrA-DNA complex than with the mutant GyrA-DNA complex. This mechanism provided a plausible reason for the reported, reduced effect of Ofloxacin to control leprosy in individuals with the A91V mutation. Our report is the first of its kind wherein the basis for the Ofloxacin drug resistance mechanism has been explored with the help of ternary Mycobacterium leprae complex, GyrA-DNA-OFLX. These structural insights will provide useful information for designing new drugs to target the Ofloxacin-resistant DNA gyrase.

Scrutiny of the mechanism of small molecule inhibitor preventing conformational transition of amyloid-β42 monomer: insights from molecular dynamics simulations

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is characterized by loss of intellectual functioning of brain and memory loss. According to amyloid cascade hypothesis, aggregation of amyloid-β₄₂ (Aβ₄₂) peptide can generate toxic oligomers and their accumulation in the brain is responsible for the onset of AD. In spite of carrying out a large number of experimental studies on inhibition of Aβ₄₂ aggregation by small molecules, the detailed inhibitory mechanism remains elusive. In the present study, comparable molecular dynamics (MD) simulations were performed to elucidate the inhibitory mechanism of a sulfonamide inhibitor C1 (2,5-dichloro-N-(4-piperidinophenyl)-3-thiophenesulfonamide), reported for its in vitro and in vivo anti-aggregation activity against Aβ₄₂. MD simulations reveal that C1 stabilizes native α-helix conformation of Aβ₄₂ by interacting with key residues in the central helix region (13-26) with hydrogen bonds and π-π interactions. C1 lowers the solvent-accessible surface area of the central hydrophobic core (CHC), KLVFF (16-20), that confirms burial of hydrophobic residues leading to the dominance of helical conformation in the CHC region. The binding free energy analysis with MM-PBSA demonstrates that Ala2, Phe4, Tyr10, Gln15, Lys16, Leu17, Val18, Phe19, Phe20, Glu22, and Met35 contribute maximum to binding free energy (-43.1 kcal/mol) between C1 and Aβ₄₂ monomer. Overall, MD simulations reveal that C1 inhibits Aβ₄₂ aggregation by stabilizing native helical conformation and inhibiting the formation of aggregation-prone β-sheet conformation. The present results will shed light on the underlying inhibitory mechanism of small molecules that show potential in vitro anti-aggregation activity against Aβ₄₂.

Electronic polarization stabilizes tertiary structure prediction of HP-36

Molecular dynamic (MD) simulations with both implicit and explicit solvent models have been carried out to study the folding dynamics of HP-36 protein. Starting from the extended conformation, the secondary structure of all three helices in HP-36 was formed in about 50 ns and remained stable in the remaining simulation. However, the formation of the tertiary structure was difficult. Although some intermediates were close to the native structure, the overall conformation was not stable. Further analysis revealed that the large structure fluctuation of loop and hydrophobic core regions was devoted mostly to the instability of the structure during MD simulation. The backbone root-mean-square deviation (RMSD) of the loop and hydrophobic core regions showed strong correlation with the backbone RMSD of the whole protein. The free energy landscape indicated that the distribution of main chain torsions in loop and turn regions was far away from the native state. Starting from an intermediate structure extracted from the initial AMBER simulation, HP-36 was found to generally fold to the native state under the dynamically adjusted polarized protein-specific charge (DPPC) simulation, while the peptide did not fold into the native structure when AMBER force filed was used. The two best folded structures were extracted and taken into further simulations in water employing AMBER03 charge and DPPC for 25 ns. Result showed that introducing polarization effect into interacting potential could stabilize the near-native protein structure.

Microsecond scale replica exchange molecular dynamic simulation of villin headpiece: an insight into the folding landscape

Reaching the experimental time scale of millisecond is a grand challenge for protein folding simulations. The development of advanced Molecular Dynamics techniques like Replica Exchange Molecular Dynamics (REMD) makes it possible to reach these experimental timescales. In this study, an attempt has been made to reach the multi microsecond simulation time scale by carrying out folding simulations on a three helix bundle protein, Villin, by combining REMD and Amber United Atom model. Twenty replicas having different temperatures ranging from 295 K to 390 K were simulated for 1.5 µs each. The lowest Root Mean Square Deviation (RMSD) structure of 2.5 Å was obtained with respect to native structure (PDB code 1VII), with all the helices formed. The folding population landscapes were built using segment-wise RMSD and Principal Components as reaction coordinates. These analyses suggest the two-stage folding for Villin. The combination of REMD and Amber United Atom model may be useful to understand the folding mechanism of various fast folding proteins.

Conformational analysis of genotoxic benzo[a]pyrene-7,8-dione-duplex DNA adducts using a molecular dynamics method (II)

The conformations of the benzo[a]pyrene-7,8-quinone (BPQ) modified oligonucleotide were investigated using molecular dynamic simulation. In the initial structures, the central guanine base was modified with BPQ resulting in the formation of four structurally distinguishable 10-(N2-deoxyguanosyl)-9,10-dihydro-9-hydroxy benzo[a]pyrene-7,8-dione adducts (BPQ-G3,4). Each of the oligonucleotide adduct consisted of two conformers, namely syn and anti conformations, depending on the rotation around the glycosidic bond between BPQ and the guanine base. The results revealed that the BPQ moiety was located in the major groove for all four syn conformers. The relative energies of these conformers were high, and the backbone largely deviated from the B-form. On the other hand, BPQ was located in the minor groove with relatively low energies, and backbone was retained in all of the anti conformer cases. The most conceivable BPQ-modified double stranded oligonucleotide structure was proposed from the energy calculation and the structural analysis.

SMpred: a support vector machine approach to identify structural motifs in protein structure without using evolutionary information

Knowledge of three dimensional structure is essential to understand the function of a protein. Although the overall fold is made from the whole details of its sequence, a small group of residues, often called as structural motifs, play a crucial role in determining the protein fold and its stability. Identification of such structural motifs requires sufficient number of sequence and structural homologs to define conservation and evolutionary information. Unfortunately, there are many structures in the protein structure databases have no homologous structures or sequences. In this work, we report an SVM method, SMpred, to identify structural motifs from single protein structure without using sequence and structural homologs. SMpred method was trained and tested using 132 proteins domains containing 581 motifs. SMpred method achieved 78.79% accuracy with 79.06% sensitivity and 78.53% specificity. The performance of SMpred was evaluated with MegaMotifBase using 188 proteins containing 1161 motifs. Out of 1161 motifs, SMpred correctly identified 1503 structural motifs reported in MegaMotifBase. Further, we showed that SMpred is useful approach for the length deviant superfamilies and single member superfamilies. This result suggests the usefulness of our approach for facilitating the identification of structural motifs in protein structure in the absence of sequence and structural homologs. The dataset and executable for the SMpred algorithm is available at http://www3.ntu.edu.sg/home/EPNSugan/index_files/SMpred.htm.

RNA stability under different combinations of amber force fields and solvation models

The proper matching of force field and solvent is critical to obtain correct result in molecular dynamics simulation of bio-molecules. This problem has been intensively investigated for protein but not for RNA yet. In this paper, we use standard molecular dynamics and replica exchange molecular dynamics to take a series of tests on the RNA stability under different combinations of Amber force field parameters (ff98, ff99 and ff99bsc0) and the general Born implicit solvent models (igb1, igb2 and igb5). It is found that only ff98 and ff99bsc0 with igb1 can keep the native conformations of RNA hairpin and duplex. Our results suggest that ff98 plus igb1 may be reasonable choice for molecular dynamics simulation of RNA dynamics.

A conformationally constrained peptidomimetic binds to the extracellular region of HER2 protein

Human epidermal growth factor receptor 2 (HER2) is a member of the human epidermal growth factor receptor kinases (other members include EGFR or HER1, HER3, and HER4) that are involved in signaling cascades for cell growth and differentiation. It is well established that HER2-mediated heterodimerization has important implications in cancer. Deregulation of signaling pathways and overexpression of HER2 is known to occur in cancer cells, indicating a role of HER2 in tumorigenesis. Therefore, blocking HER2-mediated signaling has potential therapeutic value. We have designed several peptidomimetics to inhibit HER2-mediated signaling for cell growth. One of the compounds (HERP5, Arg-beta Naph-Phe) exhibited antiproliferative activity with IC(50) values in the micromolar-to-nanomolar range in breast cancer cell lines. Binding of fluorescently labeled HERP5 to HER2 protein was evaluated by fluorescence assay, microscopy, and circular dichroism spectroscopy. Results indicated that HERP5 binds to the extracellular region of the HER2 protein. Structure of the peptidomimetic HERP5 was studied by NMR and molecular dynamics simulations. Based on these results a model was proposed for HER2-EGFR dimerization and possible blocking by HERP5 peptidomimetic using a protein-protein docking method.

Influence of the acetylcholinesterase active site protonation on omega loop and active site dynamics

Existence of alternative entrances in acetylcholinesterase (AChE) could explain the contrast between the very high AChE catalytic efficiency and the narrow and long access path to the active site revealed by X-ray crystallography. Alternative entrances could facilitate diffusion of the reaction products or at least water and ions from the active site. Previous molecular dynamics simulations identified side door and back door as the most probable alternative entrances. The simulations of non-inhibited AChE suggested that the back door opening events occur only rarely (0.8% of the time in the 10ns trajectory). Here we present a molecular dynamics simulation of non-inhibited AChE, where the back door opening appears much more often (14% of the time in the 12ns trajectory) and where the side door opening was observed quite frequently (78% of trajectory time). We also present molecular dynamics, where the back door does not open at all, or where large conformational changes of the AChE omega loop occur together with alternative passage opening events. All these differences in AChE dynamical behavior are caused by different protonation states of two glutamate residues located on bottom of the active site gorge (Glu202 and G450 in Mus musculus AChE). Our results confirm the results of previous molecular dynamics simulations, expand the view and suggest the probable reasons for the overall conformational behavior of AChE omega loop.

A theoretical elucidation of glucose interaction with HSA's domains

The interaction of different domains belonging to Human Serum Albumin (HSA) with open form of glucose have been investigated using molecular dynamics simulation methods. Applying docking, primary structures involving interaction of some residues with glucose have been obtained. Subsequently, equilibrium geometries at 300 K and minimum geometries have been determined for each of aforementioned structures by employing MD simulation and simulated annealing. The stability of species has been evaluated using a SAWSA v2.0 model. Ultimately, NBO analysis has been carried out to specify possible hydrogen bonding regarding the HSA interaction with glucose. Results obtained show that glucose can interact with Lys195, Lys199, and Glu153. In these interactions, each lysine forms an H-bonding with glucose. The H-bonding is obtained by stretching of N-H bond belonging to NH(3)(+) group of lysine along an oxygen atom of glucose. In addition, the above mentioned lysines are protonated, and there is an electrostatic interaction between glucose with Lys195 or Lys199. In addition, an H-bonding is formed between O atom of -COO group belonging to Glu153 and H atom of OH group belonging to glucose. Because, the N-H group of Lys195 interacts with the O atom of latter OH group, reaction of Lys195 is more desirable than that of Lys199. In fact, glucose is placed in the vicinity of Lys195 along with electrostatic interaction and H-bonding to Lys195 and Lys199 as well as H-bonding with Glu153, which subsequently reacts with Lys195. Thus, Lys195 is the primary site in reaction of glucose with HSA.

Insight derived from molecular dynamics simulation into substrate-induced changes in protein motions of proteinase K

Because of the significant industrial, agricultural and biotechnological importance of serine protease proteinase K, it has been extensively investigated using experimental approaches such as X-ray crystallography, site-directed mutagenesis and kinetic measurement. However, detailed aspects of enzymatic mechanism such as substrate binding, release and relevant regulation remain unstudied. Molecular dynamics (MD) simulations of the proteinase K alone and in complex with the peptide substrate AAPA were performed to investigate the effect of substrate binding on the dynamics/molecular motions of proteinase K. The results indicate that during simulations the substrate-complexed proteinase K adopt a more compact and stable conformation than the substrate-free form. Further essential dynamics (ED) analysis reveals that the major internal motions are confined within a subspace of very small dimension. Upon substrate binding, the overall flexibility of the protease is reduced; and the noticeable displacements are observed not only in substrate-binding regions but also in regions opposite the substrate-binding groove/pockets. The dynamic pockets caused by the large concerted motions are proposed to be linked to the substrate recognition, binding, orientation and product release; and the significant displacements in regions opposite the binding groove/pockets are considered to play a role in modulating the dynamics of enzyme-substrate interaction. Our simulation results complement the biochemical and structural studies, highlighting the dynamic mechanism of the functional properties of proteinase K.

Molecular dynamics studies on troponin (TnI-TnT-TnC) complexes: insight into the regulation of muscle contraction

Mutations of any subunit of the troponin complex may lead to serious disorders. Rational approaches to managing these disorders require knowledge of the complex interactions among the three subunits that are required for proper function. Molecular dynamics (MD) simulations were performed for both skeletal (sTn) and cardiac (cTn) troponin. The interactions and correlated motions among the three components of the troponin complex were analyzed using both Molecular Mechanics-Generalized Born Surface Area (MMGBSA) and cross-correlation techniques. The TnTH2 helix was strongly positively correlated with the two long helices of TnI. The C domain of TnC was positively correlated with TnI and TnT. The N domain of TnC was negatively correlated with TnI and TnT in cTn, but not in sTn. The two C-domain calcium-binding sites of TnC were dynamically correlated. The two regulatory N-domain calcium-binding sites of TnC were dynamically correlated, even though the calcium-binding site I is dysfunctional. The strong interaction residue pairs and the strong dynamically correlated residues pairs among the three components of troponin complexes were identified. These correlated motions are consistent with the idea that there is a high degree of cooperativity among the components of the regulatory complex in response to Ca(2+) and other effectors. This approach may give insight into the mechanism by which mutations of troponin cause disease. It is interesting that some observed disease causing mutations fall within regions of troponin that are strongly correlated or interacted.

A proposal for the revision of molecular boundary typology

Molecular shape is essential in understanding molecular function, and understanding molecular shape requires definition of molecular boundaries. In this paper, we review the conceptual evolution of three molecular boundary types: the van der Waals surface, the Connolly surface, and the Lee-Richards (accessible) surface. Then, we point out the confusion among the names of these surfaces existing in the literature. Since it is desirable to have a well-defined terminology in a discipline, we propose the standard names of the three molecular boundary types and their corresponding volumes in order to maximize consistency among researchers, respect the first individual who defined or computed a surface type, and promote collaboration between biologists and geometers.

The therapeutically anti-prion active antibody-fragment scFv-W226: paramagnetic relaxation-enhanced NMR spectroscopy aided structure elucidation of the paratope-epitope interface

Antibodies have become indispensable reagents with numerous applications in biological and biotechnical analysis, in diagnostics as well as in therapy. In all cases, selective interaction with an epitope is crucial and depends on the conformation of the paratope. While epitopes are routinely mapped at high throughput, methods revealing structural insights on a rather short timescale are rare. We here demonstrate paramagnetic relaxation-enhanced (PRE) NMR spectroscopy to be a powerful tool unraveling structural information about epitope-orientation in a groove spanned by the complementary determining regions. In particular, we utilize the spin label TOAC, which is fused to the peptidic epitope using standard solid-phase chemistry and which is characterized by a reduced mobility compared to, e.g., spin labels attached to the side-chain functionalities of cysteine or lysine residues. We apply the method to determine the orientation of helix 1 of the prion protein, which is the epitope for the therapeutically anti-prion active scF(v) fragment W226.

Conformational and oligomeric effects on the cysteine pK(a) of tryparedoxin peroxidase

Typical 2-Cys peroxiredoxins (Prxs) are peroxidases which regulate cell signaling pathways, apoptosis, and differentiation. These enzymes are obligate homodimers, and can form decamers in solution. During catalysis, Prxs exhibit cysteine-dependent reactivity which requires the deprotonation of the peroxidatic cysteine (C(p)) supported by a lowered pK(a) in the initial step. We present the results of molecular dynamics simulations combined with pKa calculations on the monomeric, dimeric and decameric forms of one typical 2-Cys Prx, the tryparedoxin peroxidase from Trypanosoma cruzi (PDB id, 1uul). The calculations indicate that C(p) (C52) pK(a) values are highly affected by oligomeric state; an unshifted C(p) pK(a) (approximately 8.3, comparable to the pK(a) of isolated cysteine) is calculated for the monomer. In the dimers, starting with essentially identical structures, the C(p)s evolve dynamically asymmetric pK(a)s during the simulations; one subunit's C(p) pK(a) is shifted downward at a time, while the other is unshifted. However, when averaged over time, or multiple simulations, the two subunits within a dimer exhibit the same C(p), showing no preference for a lowered pK(a) in either subunit. Two conserved pathways that communicate the asymmetric pK(a)s between C(p)s of different subunits can be identified. In the decamer, all the C(p) pK(a)s are shifted downward, with slight asymmetry in the dimers which form the decamers. Structural analyses implicate oligomerization effects as responsible for these oligomeric state-dependent C(p) pK(a) shifts. The intra-dimer and the inter-dimer subunit contacts in the decamer restrict the conformations of the side chains of several residues (T49, T54 and E55) calculated to be key in shifting the C(p) pK(a). In addition, the backbone fluctuations of a few residues (M46, D47 and F48) result in a different electrostatic environment for the C(p) in dimers relative to the monomers. These side chain and backbone interactions which contribute to pK(a) modulation indicate the importance of oligomerization to the function of the typical 2-Cys Prxs.

Molecular dynamics simulations of cyclohexyl modified peptide nucleic acids (PNA)

Peptide Nucleic Acids (PNA) that bind sequence specifically to DNA/RNA are of major interest in the field of molecular biology and could form the basis for gene-targeted drugs. Molecular dynamics simulations are aimed to characterize the structural and dynamical features to understand the effect of backbone modification on the structure and dynamics along with the stability of the resulting 10mer complexes of PNA with DNA/RNA. Twelve Molecular Dynamics (MD) simulations of duplexes and triplexes with and without cyclohexyl modification were carried out for 10ns each. The simulations indicate that the cyclohexyl modification with different stereoisomers has influenced all the PNA-DNA/RNA complexes. Modification has added rigidity to backbone by restricting beta to +60 in case of (1R,2S) cyclohexyl PNA and to -60 in case of (1S,2R) cyclohexyl PNA. The results of MD simulations were able to show the backbone rigidification and preference for RNA complexes over DNA due to presence of cyclohexyl ring in the PNA backbone.