@article {2022|2152, title = {Human Learning for Molecular Simulations: The Collective Variables Dashboard in VMD.}, journal = {J Chem Theory Comput}, volume = {18}, year = {2022}, month = {2022 Mar 08}, pages = {1945-1956}, abstract = {

The Collective Variables Dashboard is a software tool for real-time, seamless exploration of molecular structures and trajectories in a customizable space of collective variables. The Dashboard arises from the integration of the Collective Variables Module (also known as Colvars) with the visualization software VMD, augmented with a fully discoverable graphical interface offering interactive workflows for the design and analysis of collective variables. Typical use cases include a priori design of collective variables for enhanced sampling and free energy simulations as well as analysis of any type of simulation or collection of structures in a collective variable space. A combination of those cases commonly occurs when preliminary simulations, biased or unbiased, reveal that an optimized set of collective variables is necessary to improve sampling in further simulations. Then the Dashboard provides an efficient way to intuitively explore the space of likely collective variables, validate them on existing data, and use the resulting collective variable definitions directly in further biased simulations using the Collective Variables Module. Visualization of biasing energies and forces is proposed to help analyze or plan biased simulations. We illustrate the use of the Dashboard on two applications: discovering coordinates to describe ligand unbinding from a protein binding site and designing volume-based variables to bias the hydration of a transmembrane pore.

}, issn = {1549-9626}, doi = {10.1021/acs.jctc.1c01081}, author = {J{\'e}r{\^o}me H{\'e}nin and Lopes, Laura J S and Giacomo Fiorin} } @article {2019|2080, title = {Highlights from the Faraday Discussion on Artificial Water Channels, Glasgow, UK.}, journal = {Chem Commun (Camb)}, volume = {55}, year = {2019}, month = {2019 Apr 07}, pages = {3853-3858}, issn = {1364-548X}, doi = {10.1039/c9cc90112d}, author = {Barboiu, Mihail and Kumar, Manish and Marc Baaden and Gale, Philip A and Hinds, Bruce J} } @article {2018|2045, title = {Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions}, journal = {Proteins: Structure, Function, and Bioinformatics}, volume = {00}, year = {2018}, pages = {1-15}, chapter = {1}, abstract = {

Abstract Protein-protein interactions control a large range of biological processes and their identification is essential to understand the underlying biological mechanisms. To complement experimental approaches, in silico methods are available to investigate protein-protein interactions. Cross-docking methods, in particular, can be used to predict protein binding sites. However, proteins can interact with numerous partners and can present multiple binding sites on their surface, which may alter the binding site prediction quality. We evaluate the binding site predictions obtained using complete cross-docking simulations of 358 proteins with 2 different scoring schemes accounting for multiple binding sites. Despite overall good binding site prediction performances, 68 cases were still associated with very low prediction quality, presenting individual area under the specificity-sensitivity ROC curve (AUC) values below the random AUC threshold of 0.5, since cross-docking calculations can lead to the identification of alternate protein binding sites (that are different from the reference experimental sites). For the large majority of these proteins, we show that the predicted alternate binding sites correspond to interaction sites with hidden partners, that is, partners not included in the original cross-docking dataset. Among those new partners, we find proteins, but also nucleic acid molecules. Finally, for proteins with multiple binding sites on their surface, we investigated the structural determinants associated with the binding sites the most targeted by the docking partners.

}, keywords = {alternate partners, binding site predictions, docking, multiple binding sites, protein-protein interfaces}, doi = {10.1002/prot.25506}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/prot.25506}, author = {Nathalie Lagarde and Alessandra Carbone and S Sacquin-Mora} } @article {2018|2094, title = {Holding the Nucleosome Together: A Quantitative Description of the DNA-Histone Interface in Solution.}, journal = {J Chem Theory Comput}, volume = {14}, year = {2018}, month = {2018 Feb 13}, pages = {1045-1058}, abstract = {

The nucleosome is the fundamental unit of eukaryotic genome packaging in the chromatin. In this complex, the DNA wraps around eight histone proteins to form a superhelical double helix. The resulting bending, stronger than anything observed in free DNA, raises the question of how such a distortion is stabilized by the proteic and solvent environments. In this work, the DNA-histone interface in solution was exhaustively analyzed from nucleosome structures generated by molecular dynamics. An original Voronoi tessellation technique, measuring the topology of interacting elements without any empirical or subjective adjustment, was used to characterize the interface in terms of contact area and occurrence. Our results revealed an interface more robust than previously known, combining extensive, long-lived nonelectrostatic and electrostatic interactions between DNA and both structured and unstructured histone regions. Cation accumulation makes the proximity of juxtaposed DNA gyres in the superhelix possible by shielding the strong electrostatic repulsion of the charged phosphate groups. Overall, this study provides new insights on the nucleosome cohesion, explaining how DNA distortions can be maintained in a nucleoprotein complex.

}, keywords = {DNA, Histones, Molecular Dynamics Simulation, Nucleosomes, Solutions, Static Electricity}, issn = {1549-9626}, doi = {10.1021/acs.jctc.7b00936}, author = {Elbahnsi, Ahmad and Retureau, Romain and Marc Baaden and Hartmann, Brigitte and Oguey, Christophe} } @article {2017|2031, title = {High-Resolution Structures of the Amyloid-β 1-42 Dimers from the Comparison of Four Atomistic Force Fields.}, journal = {J Phys Chem B}, volume = {121}, year = {2017}, month = {2017 Jun 22}, pages = {5977-5987}, abstract = {

The dimer of the amyloid-β peptide Aβ of 42 residues is the smallest toxic species in Alzheimer\&$\#$39;s disease, but its equilibrium structures are unknown. Here we determined the equilibrium ensembles generated by the four atomistic OPLS-AA, CHARMM22*, AMBER99sb-ildn, and AMBERsb14 force fields with the TIP3P water model. On the basis of 144 μs replica exchange molecular dynamics simulations (with 750 ns per replica), we find that the four force fields lead to random coil ensembles with calculated cross-collision sections, hydrodynamics properties, and small-angle X-ray scattering profiles independent of the force field. There are, however, marked differences in secondary structure, with the AMBERsb14 and CHARMM22* ensembles overestimating the CD-derived helix content, and the OPLS-AA and AMBER99sb-ildn secondary structure contents in agreement with CD data. Also the intramolecular beta-hairpin content spanning residues 17-21 and 30-36 varies between 1.5\% and 13\%. Overall, there are significant differences in tertiary and quaternary conformations among all force fields, and the key finding, irrespective of the force field, is that the dimer is stabilized by nonspecific interactions, explaining therefore its possible transient binding to multiple cellular partners and, in part, its toxicity.

}, issn = {1520-5207}, doi = {10.1021/acs.jpcb.7b04689}, author = {Man, Viet Hoang and Phuong Hoang Nguyen and Philippe Derreumaux} } @article {2016|1742, title = {Homologous Pairing between Long DNA Double Helices}, journal = {Phys. Rev. Lett.}, volume = {116}, year = {2016}, pages = {158101}, author = {Alexey K Mazur} } @article {2016|1661, title = {Hybridizing Rapidly Exploring Random Trees and Basin Hopping Yields an Improved Exploration of Energy Landscapes}, journal = {J. Comput. Chem.}, volume = {37}, year = {2016}, month = {mar}, pages = {752}, chapter = {739}, abstract = {

The number of local minima of the potential energy landscape (PEL) of molecular systems generally grows exponentially with the number of degrees of freedom, so that a crucial property of PEL exploration algorithms is their ability to identify local minima, which are low lying and diverse. In this work, we pres- ent a new exploration algorithm, retaining the ability of basin hopping (BH) to identify local minima, and that of transition based rapidly exploring random trees (T-RRT) to foster the exploration of yet unexplored regions. This ability is obtained by interleaving calls to the extension procedures of BH and T- RRT, and we show tuning the balance between these two types of calls allows the algorithm to focus on low lying regions. Computational efficiency is obtained using state-of- the art data structures, in particular for searching approximate nearest neighbors in metric spaces. We present results for the BLN69, a protein model whose conformational space has dimension 207 and whose PEL has been studied exhaustively. On this system, we show that the propensity of our algorithm to explore low lying regions of the landscape significantly out- performs those of BH and T-RRT.

}, doi = {10.1002/jcc.24256}, author = {Christine A. Roth and Tom Dreyfus and Charles H. Robert and Fr{\'e}d{\'e}ric Cazals} } @conference {2016|1607, title = {Hydrodynamic Effects on Amyloid-beta Aggregation}, booktitle = {Biophys. J.}, volume = {110}, number = {3, 1}, year = {2016}, note = {60th Annual Meeting of the Biophysical-Society, Los Angeles, CA, FEB 27-MAR 02, 2016}, month = {feb}, pages = {219A}, publisher = {Biophys Soc}, organization = {Biophys Soc}, issn = {0006-3495}, author = {Chiricotto, Mara and Melchionna, Simone and Philippe Derreumaux and Fabio Sterpone} } @article {2016|1702, title = {Hydrodynamic effects on beta-amyloid (16-22) peptide aggregation}, journal = {J. Chem. Phys.}, volume = {145}, number = {3}, year = {2016}, month = {jul}, abstract = {Computer simulations based on simplified representations are routinely used to explore the early steps of amyloid aggregation. However, when protein models with implicit solvent are employed, these simulations miss the effect of solvent induced correlations on the aggregation kinetics and lifetimes of metastable states. In this work, we apply the multi-scale Lattice Boltzmann Molecular Dynamics technique (LBMD) to investigate the initial aggregation phases of the amyloid A beta(16-22) peptide. LBMD includes naturally hydrodynamic interactions (HIs) via a kinetic on-lattice representation of the fluid kinetics. The peptides are represented by the flexible OPEP coarse-grained force field. First, we have tuned the essential parameters that control the coupling between the molecular and fluid evolutions in order to reproduce the experimental diffusivity of elementary species. The method is then deployed to investigate the effect of HIs on the aggregation of 100 and 1000 A beta(16-22) peptides. We show that HIs clearly impact the aggregation process and the fluctuations of the oligomer sizes by favouring the fusion and exchange dynamics of oligomers between aggregates. HIs also guide the growth of the leading largest cluster. For the 100 A beta(16-22) peptide system, the simulation of similar to 300 ns allowed us to observe the transition from ellipsoidal assemblies to an elongated and slightly twisted aggregate involving almost the totality of the peptides. For the 1000 A beta(16-22) peptides, a system of unprecedented size at quasi-atomistic resolution, we were able to explore a branched disordered fibril-like structure that has never been described by other computer simulations, but has been observed experimentally. Published by AIP Publishing.}, issn = {0021-9606}, doi = {10.1063/1.4958323}, author = {Chiricotto, Mara and Melchionna, Simone and Philippe Derreumaux and Fabio Sterpone} } @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 {2014|1751, title = {How force unfolding differs from chemical denaturation.}, journal = {Proc. Natl. Acad. Sci. U.s.a}, volume = {111}, year = {2014}, pages = {3413{\textendash}8}, abstract = {

Single-molecule force spectroscopies are remarkable tools for studying protein folding and unfolding, but force unfolding explores protein configurations that are potentially very different from the ones traditionally explored in chemical or thermal denaturation. Understanding these differences is crucial because such configurations serve as starting points of folding studies, and thus can affect both the folding mechanism and the kinetics. Here we provide a detailed comparison of both chemically induced and force-induced unfolded state ensembles of ubiquitin based on extensive, all-atom simulations of the protein either extended by force or denatured by urea. As expected, the respective unfolded states are very different on a macromolecular scale, being fully extended under force with no contacts and partially extended in urea with many nonnative contacts. The amount of residual secondary structure also differs: A significant population of $\alpha$-helices is found in chemically denatured configurations but such helices are absent under force, except at the lowest applied force of 30 pN where short helices form transiently. We see that typical-size helices are unstable above this force, and $\beta$-sheets cannot form. More surprisingly, we observe striking differences in the backbone dihedral angle distributions for the protein unfolded under force and the one unfolded by denaturant. A simple model based on the dialanine peptide is shown to not only provide an explanation for these striking differences but also illustrates how the force dependence of the protein dihedral angle distributions give rise to the worm-like chain behavior of the chain upon force.

}, keywords = {Chemical, Hydrogen-Ion Concentration, Models, Molecular Dynamics Simulation, Protein Conformation, Protein Denaturation, Protein Folding, Protein Unfolding, Ubiquitin, Ubiquitin: chemistry, Urea, Urea: chemistry}, issn = {1091-6490}, url = {http://www.ncbi.nlm.nih.gov/pubmed/24550471}, author = {Guillaume Stirnemann and Kang, Seung-gu and Zhou, Ruhong and Berne, Bruce J} } @article {2013|1700, title = {Heme orientation modulates histidine dissociation and ligand binding kinetics in the hexacoordinated human neuroglobin}, journal = {J. Biol. Inorg. Chem.}, volume = {18}, number = {1}, year = {2013}, pages = {111{\textendash}122}, doi = {10.1007/s00775-012-0956-2}, author = {Bocahut, A. and Derrien, V. and Bernad, S. and Sebban, P. and S Sacquin-Mora and Guittet, E. and Lescop, E.} } @article {2013|1926, title = {How Conformational Flexibility Stabilizes the Hyperthermophilic Elongation Factor G-Domain}, journal = {J. Phys. Chem. B}, volume = {117}, number = {44}, year = {2013}, month = {nov}, pages = {13775{\textendash}13785}, author = {Kalimeri, Maria and Rahaman, Obaidur and Melchionna, Simone and Sterpone, Fabio} } @article {2010|1524, title = {{H}ow cations can assist {D}{N}ase {I} in {D}{N}{A} binding and hydrolysis}, journal = {Plos Comput. Biol.}, volume = {6}, year = {2010}, month = {nov}, pages = {e1001000}, author = {M. Gueroult and D. Picot and J. Abi-Ghanem and B. Hartmann and Marc Baaden} } @article {2010|1917, title = {HiRE-RNA: A High Resolution Coarse-Grained Energy Model for RNA}, journal = {J. Phys. Chem. B}, volume = {114}, number = {37}, year = {2010}, month = {sep}, pages = {11957{\textendash}11966}, doi = {10.1021/jp102497y}, author = {Pasquali, Samuela and Philippe Derreumaux} } @article {2010|1788, title = {How does heparin prevent the p{H} inactivation of cathepsin {B}? Allosteric mechanism elucidated by docking and molecular dynamics.}, journal = {Bmc Genomics}, volume = {11, S5}, year = {2010}, author = {Mauricio G.S. Costa and Paulo R. Batista and Cl{\`a}udio S Shida and Charles H. Robert and Paulo M. Bisch and Pedro G. Pascutti} } @article {2009|1605, title = {The HSP90 binding mode of a radicicol-like E-oxime determined by docking, binding free energy estimations, and NMR 15 N chemical shifts}, journal = {Biophys. Chem.}, volume = {143}, number = {3}, year = {2009}, pages = {111{\textendash}123}, publisher = {Elsevier}, author = {Spichty, Martin and Antoine Taly and Hagn, Franz and Kessler, Horst and Barluenga, Sofia and Winssinger, Nicolas and Karplus, Martin} } @article {2008|1940, title = {HU binds and folds single-stranded DNA}, journal = {Nucl. Acids Res.}, volume = {36}, number = {3}, year = {2008}, pages = {1026{\textendash}1036}, author = {Dmitri Kamashev and Anna Balandina and Alexey K Mazur and Paola B. Arimondo and Josette Rouviere-Yaniv} } @article {2007|1522, title = {How complex is the dynamics of peptide folding?}, journal = {Phys. Rev. Lett.}, volume = {98}, number = {2}, year = {2007}, month = {jan}, author = {Hegger, Rainer and Altis, Alexandros and Phuong Hoang Nguyen and Stock, Gerhard} } @article {2007|1828, title = {How protein surfaces induce anomalous dynamics of hydration water}, journal = {J. Phys. Chem. B}, volume = {111}, number = {26}, year = {2007}, pages = {7584{\textendash}90}, abstract = {Water around biomolecules slows down with respect to pure water, and both rotation and translation exhibit anomalous time dependence in the hydration shell. The origin of such behavior remains elusive. We use molecular dynamics simulations of water dynamics around several designed protein models to establish the connection between the appearance of the anomalous dynamics and water-protein interactions. For the first time we quantify the separate effect of protein topological and energetic disorder on the hydration water dynamics. When a static protein structure is simulated, we show that both types of disorder contribute to slow down water diffusion, and that allowing for protein motion, increasing the spatial dimensionality of the interface, reduces the anomalous character of hydration water. The rotation of water is, instead, altered by the energetic disorder only; indeed, when electrostatic interactions between the protein and water are switched off, water reorients even faster than in the bulk. The dynamics of water is also related to the collective structure{\textendash}{\`a} voir the hydrogen bond (H-bond) network{\textendash}formed by the solvent enclosing the protein surface. We show that, as expected for a full hydrated protein, when the protein surface offers pinning sites (charged or polar sites), the superficial water-water H-bond network percolates throughout the whole surface, hindering the water diffusion, whereas it does not when the protein surface lacks electrostatic interactions with water and the water diffusion is enhanced.}, author = {Pizzitutti, Francesco and Marchi, Massimo and Sterpone, Fabio and Rossky, Peter J} } @article {2006|1935, title = {HDAC1 acetylation is linked to progressive modulation of steroid receptor-induced gene transcription.}, journal = {Mol. Cell}, volume = {22}, number = {5}, year = {2006}, month = {jun}, pages = {669{\textendash}679}, publisher = {Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, National Institutes of Health, Building 41, B602, Bethesda, Maryland 20892, USA.}, abstract = {Although histone deacetylases (HDACs) are generally viewed as corepressors, we show that HDAC1 serves as a coactivator for the glucocorticoid receptor (GR). Furthermore, a subfraction of cellular HDAC1 is acetylated after association with the GR, and this acetylation event correlates with a decrease in promoter activity. HDAC1 in repressed chromatin is highly acetylated, while the deacetylase found on transcriptionally active chromatin manifests a low level of acetylation. Acetylation of purified HDAC1 inactivates its deacetylase activity, and mutation of the critical acetylation sites abrogates HDAC1 function in vivo. We propose that hormone activation of the receptor leads to progressive acetylation of HDAC1 in vivo, which in turn inhibits the deacetylase activity of the enzyme and prevents a deacetylation event that is required for promoter activation. These findings indicate that HDAC1 is required for the induction of some genes by the GR, and this activator function is dynamically modulated by acetylation.}, keywords = {Acetylation, Amino Acid Sequence, Animals, Binding Sites, Cell Cycle Proteins, Chromatin, Down-Regulation, genetics/metabolism, Hela Cells, Histone Acetyltransferases, Histone Deacetylases, Humans, immunology/metabolism, metabolism}, doi = {10.1016/j.molcel.2006.04.019}, author = {Yi Qiu and Yingming Zhao and Matthias Becker and Sam John and Bhavin S Parekh and Suming Huang and Anindya Hendarwanto and Elisabeth D Martinez and Yue Chen and Hanxin Lu and Nicholas L Adkins and Diana A Stavreva and Malgorzata Wiench and Philippe T Geor} } @article {2006|1943, title = {Hfq variant with altered RNA binding functions}, journal = {Nucleic Acids Res.}, volume = {34}, number = {2}, year = {2006}, pages = {709{\textendash}720}, doi = {10.1093/nar/gkj464}, author = {Ziolkowska, K and Philippe Derreumaux and Folichon, M and Pellegrini, O and Regnier, P and Boni, IV and Hajnsdorf, E} } @article {2006|1794, title = {Hydrogen-bonding patterns of cholesterol in lipid membranes}, journal = {Chem. Phys. Lett.}, volume = {425}, year = {2006}, pages = {329{\textendash}335}, abstract = {Correlation between the rotation of the cholesterol hydroxyl group and the formation of hydrogen bonds with its lipid environment is examined through molecular dynamics (MD) simulations and compared with recently reported NMR experiments. All atom MD simulations of a fully hydrated 1:2 cholesterol-dimyristoylphosphatidylcholine bilayer have been performed. Precise reproduction of the cholesterol cell parameters via simulation of its P1-group crystal validates the force field utilized. The lipid-cholesterol hydrogen-bonding pattern reflects the coexistence of alternative dimer motifs with comparable conformer populations, in line with the estimated free energy differences for the rotamers of the cholesterol CO bond.}, url = {http://www.sciencedirect.com/science/article/B6TFN-4JYTJ8F-1/2/20363e602ea4fdd317abf97ba8e91987}, author = {J{\'e}r{\^o}me H{\'e}nin and Christophe Chipot} } @article {2005|1400, title = {Hydration and thermodynamic equilibrium of non-ionic surfactant in solution}, journal = {Coll Surf A}, volume = {261}, year = {2005}, pages = {93{\textendash}99}, author = {Briganti, Giuseppe and D{\textquoteright}arrigo, Giovanni and Maccarini, Marco and Pierleoni, Carlo and Sterpone, Fabio} } @article {2004|1791, title = {Helix H1 of the prion protein is rather stable against environmental perturbations: molecular dynamics of mutation and deletion variants of PrP(90-231)}, journal = {Cell. Mol. Life Sci.}, volume = {61}, number = {7-8}, year = {2004}, month = {apr}, pages = {951{\textendash}960}, doi = {10.1007/s00018-003-3455-3}, author = {Santini, S and Philippe Derreumaux} } @article {2001, title = {{H}ydration and structural alterations of {A}-{D}{N}{A}. {I}mplications for the accuracy of {D}{N}{A} replication}, journal = {Cell. Mol. Biol. (noisy-le-grand)}, volume = {47}, year = {2001}, pages = {815{\textendash}822}, author = {Mayer, C. and Y Timsit} } @article {1998, title = {{H}ydration and recognition of methylated {C}p{G} steps in {D}{N}{A}}, journal = {Embo J.}, volume = {17}, year = {1998}, month = {may}, pages = {2709{\textendash}2718}, author = {Mayer-Jung, C. and Moras, D. and Y Timsit} } @article {1998|1859, title = {Hierarchy of fast motions in protein dynamics}, journal = {J. Phys. Chem. B}, volume = {102}, number = {2}, year = {1998}, pages = {473{\textendash}479}, author = {Alexey K Mazur} } @article {1993|1908, title = {HARMONIC AND MOLECULAR-DYNAMICS OF N-OCTANE - COMPARISON BETWEEN THE AMBER AND SPASIBA FORCE-FIELDS}, journal = {J. Mol. Struct.}, volume = {295}, year = {1993}, month = {may}, pages = {233{\textendash}244}, doi = {10.1016/0022-2860(93)85023-N}, author = {Philippe Derreumaux and VERGOTEN, G} } @article {1990|1786, title = {A hierarchical {\textquoteleft}nesting{\textquoteright} approach to describe the stability of alpha helices with side-chain interactions}, journal = {Biopolymers}, volume = {30}, number = {3-4}, year = {1990}, pages = {335{\textendash}347}, author = {Robert, C H} }