@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} }