@article {2020|2075, title = {Characterization of β-turns by electronic circular dichroism spectroscopy: a coupled molecular dynamics and time-dependent density functional theory computational study.}, journal = {Phys Chem Chem Phys}, volume = {22}, year = {2020}, month = {2020 Jan 21}, pages = {1611-1623}, abstract = {

Electronic circular dichroism is one of the most used spectroscopic techniques for peptide and protein structural characterization. However, while valuable experimental spectra exist for α-helix, β-sheet and random coil secondary structures, previous studies showed important discrepancies for β-turns, limiting their use as a reference for structural studies. In this paper, we simulated circular dichroism spectra for the best-characterized β-turns in peptides, namely types I, II, I\&$\#$39; and II\&$\#$39;. In particular, by combining classical molecular dynamics simulations and state-of-the-art quantum time-dependent density functional theory (with the polarizable embedding multiscale model) computations, two common electronic circular dichroism patterns were found for couples of β-turn types (namely, type I/type II\&$\#$39; and type II/type I\&$\#$39;), at first for a minimal di-peptide model (Ace-Ala-Ala-NHMe), but also for all sequences tested with non-aromatic residues in the central positions. On the other hand, as expected, aromatic substitution causes important perturbations to the previously found ECD patterns. Finally, by applying suitable approximations, these patterns were subsequently rationalized based on the exciton chirality rule. All these results provide useful predictions and pave the way for a possible experimental characterization of β-turns based on circular dichroism spectroscopy.

}, keywords = {Circular Dichroism, Computational Chemistry, Computer Simulation, Molecular Dynamics Simulation, Protein Conformation, beta-Strand, Protein Structure, Tertiary}, issn = {1463-9084}, doi = {10.1039/c9cp05776e}, author = {Migliore, Mattia and Bonvicini, Andrea and Tognetti, Vincent and Guilhaudis, Laure and Marc Baaden and Oulyadi, Hassan and Joubert, Laurent and S{\'e}galas-Milazzo, Isabelle} } @article {2017|2096, title = {String method solution of the gating pathways for a pentameric ligand-gated ion channel.}, journal = {Proc Natl Acad Sci U S A}, volume = {114}, year = {2017}, month = {2017 05 23}, pages = {E4158-E4167}, abstract = {

Pentameric ligand-gated ion channels control synaptic neurotransmission by converting chemical signals into electrical signals. Agonist binding leads to rapid signal transduction via an allosteric mechanism, where global protein conformational changes open a pore across the nerve cell membrane. We use all-atom molecular dynamics with a swarm-based string method to solve for the minimum free-energy gating pathways of the proton-activated bacterial GLIC channel. We describe stable wetted/open and dewetted/closed states, and uncover conformational changes in the agonist-binding extracellular domain, ion-conducting transmembrane domain, and gating interface that control communication between these domains. Transition analysis is used to compute free-energy surfaces that suggest allosteric pathways; stabilization with pH; and intermediates, including states that facilitate channel closing in the presence of an agonist. We describe a switching mechanism that senses proton binding by marked reorganization of subunit interface, altering the packing of β-sheets to induce changes that lead to asynchronous pore-lining M2 helix movements. These results provide molecular details of GLIC gating and insight into the allosteric mechanisms for the superfamily of pentameric ligand-gated channels.

}, keywords = {Computer Simulation, Ligand-Gated Ion Channels, Models, Biological, Models, Chemical}, issn = {1091-6490}, doi = {10.1073/pnas.1617567114}, author = {Lev, Bogdan and Murail, Samuel and Poitevin, Fr{\'e}d{\'e}ric and Cromer, Brett A and Marc Baaden and Delarue, Marc and Allen, Toby W} } @article {2017|2042, title = {What Can Human-Guided Simulations Bring to RNA Folding?}, journal = {Biophys J}, volume = {113}, year = {2017}, month = {2017 Jul 25}, pages = {302-312}, abstract = {

Inspired by the recent success of scientific-discovery games for predicting protein tertiary and RNA secondary structures, we have developed an open software for coarse-grained RNA folding simulations, guided by human intuition. To determine the extent to which interactive simulations can accurately predict 3D RNA structures of increasing complexity and lengths (four RNAs with 22-47 nucleotides), an interactive experiment was conducted with 141 participants who had very little knowledge of nucleic acids systems and computer simulations, and had received only a brief description of the important forces stabilizing RNA structures. Their structures and full trajectories have been analyzed statistically and compared to standard replica exchange molecular dynamics simulations. Our analyses show that participants gain easily chemical intelligence to fold simple and nontrivial topologies, with little computer time, and this result opens the door for the use of human-guided simulations to RNA folding. Our experiment shows that interactive simulations have better chances of success when the user widely explores the conformational space. Interestingly, providing on-the-fly feedback of the root mean square deviation with respect to the experimental structure did not improve the quality of the proposed models.

}, keywords = {Access to Information, Computer Simulation, Feedback, Psychological, Humans, Internet, Models, Genetic, Models, Molecular, RNA, RNA Folding, Software, Solvents}, issn = {1542-0086}, doi = {10.1016/j.bpj.2017.05.047}, author = {Mazzanti, Liuba and Doutreligne, S{\'e}bastien and Gageat, Cedric and Philippe Derreumaux and Antoine Taly and Marc Baaden and Pasquali, Samuela} } @article {2015|1755, title = {How osmolytes influence hydrophobic polymer conformations: A unified view from experiment and theory.}, journal = {Proc. Natl. Acad. Sci. Usa}, volume = {112}, year = {2015}, pages = {9270{\textendash}5}, abstract = {

It is currently the consensus belief that protective osmolytes such as trimethylamine N-oxide (TMAO) favor protein folding by being excluded from the vicinity of a protein, whereas denaturing osmolytes such as urea lead to protein unfolding by strongly binding to the surface. Despite there being consensus on how TMAO and urea affect proteins as a whole, very little is known as to their effects on the individual mechanisms responsible for protein structure formation, especially hydrophobic association. In the present study, we use single-molecule atomic force microscopy and molecular dynamics simulations to investigate the effects of TMAO and urea on the unfolding of the hydrophobic homopolymer polystyrene. Incorporated with interfacial energy measurements, our results show that TMAO and urea act on polystyrene as a protectant and a denaturant, respectively, while complying with Tanford-Wyman preferential binding theory. We provide a molecular explanation suggesting that TMAO molecules have a greater thermodynamic binding affinity with the collapsed conformation of polystyrene than with the extended conformation, while the reverse is true for urea molecules. Results presented here from both experiment and simulation are in line with earlier predictions on a model Lennard-Jones polymer while also demonstrating the distinction in the mechanism of osmolyte action between protein and hydrophobic polymer. This marks, to our knowledge, the first experimental observation of TMAO-induced hydrophobic collapse in a ternary aqueous system.

}, keywords = {Atomic Force, Computer Simulation, Hydrophobic and Hydrophilic Interactions, Mechanical, Methylamines, Methylamines: chemistry, Microscopy, Molecular Dynamics Simulation, Normal Distribution, Polymers, Polymers: chemistry, Polystyrenes, Polystyrenes: chemistry, Protein Binding, Protein Conformation, Protein Folding, Proteins, Proteins: chemistry, Software, Solvents, Solvents: chemistry, Stress, Thermodynamics, Urea, Urea: chemistry, Water, Water: chemistry}, isbn = {1215421109}, issn = {1091-6490}, doi = {10.1073/pnas.1511780112}, url = {http://www.pnas.org/content/112/30/9270}, author = {Mondal, Jagannath and Halverson, Duncan and Li, Isaac T S and Guillaume Stirnemann and Walker, Gilbert C and Berne, Bruce J} } @article {2013|1752, title = {Elasticity, structure, and relaxation of extended proteins under force.}, journal = {Proc. Natl. Acad. Sci. U.s.a}, volume = {110}, year = {2013}, pages = {3847{\textendash}52}, abstract = {

Force spectroscopies have emerged as a powerful and unprecedented tool to study and manipulate biomolecules directly at a molecular level. Usually, protein and DNA behavior under force is described within the framework of the worm-like chain (WLC) model for polymer elasticity. Although it has been surprisingly successful for the interpretation of experimental data, especially at high forces, the WLC model lacks structural and dynamical molecular details associated with protein relaxation under force that are key to the understanding of how force affects protein flexibility and reactivity. We use molecular dynamics simulations of ubiquitin to provide a deeper understanding of protein relaxation under force. We find that the WLC model successfully describes the simulations of ubiquitin, especially at higher forces, and we show how protein flexibility and persistence length, probed in the force regime of the experiments, are related to how specific classes of backbone dihedral angles respond to applied force. Although the WLC model is an average, backbone model, we show how the protein side chains affect the persistence length. Finally, we find that the diffusion coefficient of the protein{\textquoteright}s end-to-end distance is on the order of 10(8) nm(2)/s, is position and side-chain dependent, but is independent of the length and independent of the applied force, in contrast with other descriptions.

}, keywords = {Atomic Force, Biophysical Phenomena, Computer Simulation, Elasticity, Mechanical, Microscopy, Models, Molecular, Molecular Dynamics Simulation, Proteins, Proteins: chemistry, Stress, Ubiquitin, Ubiquitin: chemistry}, issn = {1091-6490}, url = {http://www.pnas.org/content/early/2013/02/13/1300596110.abstract}, author = {Guillaume Stirnemann and Giganti, David and Fernandez, Julio M and Berne, B J} } @article {2009|2018, title = {Energy Flow and Long-Range Correlations in Guanine-Binding Riboswitch: A Nonequilibrium Molecular Dynamics Study}, journal = {J. Phys. Chem. B}, volume = {113}, number = {27}, year = {2009}, month = {jul}, pages = {9340{\textendash}9347}, keywords = {Binding Sites, Computer Simulation, Energy Transfer, Guanine, Ligands, Models, Molecular, Nucleic Acid Conformation, RNA, Temperature}, doi = {10.1021/jp902013s}, author = {Phuong Hoang Nguyen and Philippe Derreumaux and Stock, Gerhard} } @article {2009|1830, title = {Replica exchange molecular dynamics simulations of coarse-grained proteins in implicit solvent.}, journal = {J. Phys. Chem. B}, volume = {113}, number = {1}, year = {2009}, month = {jan}, pages = {267{\textendash}274}, keywords = {Amino Acid Sequence, Computer Simulation, Magnetic Resonance Spectroscopy, Molecular Sequence Data, Peptides, Protein Folding, Protein Structure, Proteins, Secondary, Solvents, Temperature, Thermodynamics}, doi = {10.1021/jp805309e}, author = {Y Chebaro and Xiao Dong and Rozita Laghaei and Philippe Derreumaux and Normand Mousseau} } @article {2009|2019, title = {Thermodynamics and dynamics of amyloid peptide oligomerization are sequence dependent}, journal = {Proteins: Struct., Funct., Bioinf.}, volume = {75}, number = {4}, year = {2009}, month = {jun}, pages = {954{\textendash}963}, keywords = {Amino Acid Sequence, Amyloid beta-Protein, beta 2-Microglobulin, Cluster Analysis, Computer Simulation, Models, Molecular, Peptide Fragments, Protein Multimerization, Protein Structure, Secondary, Structure-Activity Relationship, Thermodynamics}, doi = {10.1002/prot.22305}, author = {Lu, Yan and Philippe Derreumaux and Guo, Zhi and Mousseau, Normand and Wei, Guanghong} } @article {2008|1603, title = {Diffusion of glycerol through Escherichia coli aquaglyceroporin GlpF}, journal = {Biophys. J.}, volume = {94}, number = {3}, year = {2008}, pages = {832{\textendash}839}, abstract = {The glycerol uptake facilitator, GlpF, a major intrinsic protein found in Escherichia coli, selectively conducts water and glycerol across the inner membrane. The free energy landscape characterizing the assisted transport of glycerol by this homotetrameric aquaglyceroporin has been explored by means of equilibrium molecular dynamics over a timescale spanning 0.12 micros. To overcome the free energy barriers of the conduction pathway, an adaptive biasing force is applied to the glycerol molecule confined in each of the four channels. The results illuminate the critical role played by intramolecular relaxation on the diffusion properties of the permeant. These free energy calculations reveal that glycerol tumbles and isomerizes on a timescale comparable to that spanned by its adaptive-biasing-force-assisted conduction in GlpF. As a result, reorientation and conformational equilibrium of glycerol in GlpF constitute a bottleneck in the molecular simulations of the permeation event. A profile characterizing the position-dependent diffusion of the permeant has been determined, allowing reaction rate theory to be applied for investigating conduction kinetics based on the measured free energy landscape.}, keywords = {Aquaporins, Chemical, Computer Simulation, Diffusion, Escherichia coli Proteins, Glycerol, Ion Channel Gating, Models, Molecular, Molecular Conformation, Porosity}, doi = {10.1529/biophysj.107.115105}, author = {J{\'e}r{\^o}me H{\'e}nin and Emad Tajkhorshid and Klaus Schulten and Christophe Chipot} }