EN FR
EN FR


previous Previous | up Home


Bibliography

Major publications by the team in recent years
  • 1F. Cazals, P. Kornprobst (editors)

    Modeling in Computational Biology and Medicine: A Multidisciplinary Endeavor, Springer, 2013. [ DOI : 10.1007/978-3-642-31208-3 ]

    http://hal.inria.fr/hal-00845616
  • 2D. Agarwal, J. Araujo, C. Caillouet, F. Cazals, D. Coudert, S. Pérennes.

    Connectivity Inference in Mass Spectrometry based Structure Determination, in: European Symposium on Algorithms (Springer LNCS 8125), Sophia Antipolis, France, H. Bodlaender, G. Italiano (editors), Springer, 2013, pp. 289–300.

    http://hal.inria.fr/hal-00849873
  • 3D. Agarwal, C. Caillouet, D. Coudert, F. Cazals.

    Unveiling Contacts within Macro-molecular assemblies by solving Minimum Weight Connectivity Inference Problems, in: Molecular and Cellular Proteomics, 2015, vol. 14, pp. 2274–2282. [ DOI : 10.1074/mcp.M114.047779 ]

    https://hal.archives-ouvertes.fr/hal-01078378
  • 4F. Cazals, F. Chazal, T. Lewiner.

    Molecular shape analysis based upon the Morse-Smale complex and the Connolly function, in: ACM SoCG, San Diego, USA, 2003, pp. 351-360.
  • 5F. Cazals, T. Dreyfus, D. Mazauric, A. Roth, C. Robert.

    Conformational Ensembles and Sampled Energy Landscapes: Analysis and Comparison, in: J. of Computational Chemistry, 2015, vol. 36, no 16, pp. 1213–1231. [ DOI : 10.1002/jcc.23913 ]

    https://hal.archives-ouvertes.fr/hal-01076317
  • 6F. Cazals, T. Dreyfus, S. Sachdeva, N. Shah.

    Greedy Geometric Algorithms for Collections of Balls, with Applications to Geometric Approximation and Molecular Coarse-Graining, in: Computer Graphics Forum, 2014, vol. 33, no 6, pp. 1–17. [ DOI : 10.1111/cgf.12270 ]

    http://hal.inria.fr/hal-00777892
  • 7F. Cazals, J. Giesen.

    Delaunay Triangulation Based Surface Reconstruction, in: Effective Computational Geometry for curves and surfaces, J.-D. Boissonnat, M. Teillaud (editors), Springer-Verlag, Mathematics and Visualization, 2006.
  • 8F. Cazals, C. Karande.

    An algorithm for reporting maximal c-cliques, in: Theoretical Computer Science, 2005, vol. 349, no 3, pp. 484–490.
  • 9T. Dreyfus, V. Doye, F. Cazals.

    Assessing the Reconstruction of Macro-molecular Assemblies with Toleranced Models, in: Proteins: structure, function, and bioinformatics, 2012, vol. 80, no 9, pp. 2125–2136.
  • 10T. Dreyfus, V. Doye, F. Cazals.

    Probing a Continuum of Macro-molecular Assembly Models with Graph Templates of Sub-complexes, in: Proteins: structure, function, and bioinformatics, 2013, vol. 81, no 11, pp. 2034–2044. [ DOI : 10.1002/prot.24313 ]

    http://hal.inria.fr/hal-00849795
  • 11N. Malod-Dognin, A. Bansal, F. Cazals.

    Characterizing the Morphology of Protein Binding Patches, in: Proteins: structure, function, and bioinformatics, 2012, vol. 80, no 12, pp. 2652–2665.
  • 12S. Marillet, P. Boudinot, F. Cazals.

    High Resolution Crystal Structures Leverage Protein Binding Affinity Predictions, in: Proteins: structure, function, and bioinformatics, 2015, vol. 1, no 84, pp. 9–20. [ DOI : 10.1002/prot.24946 ]

    https://hal.inria.fr/hal-01159641
Publications of the year

Articles in International Peer-Reviewed Journals

  • 13J.-C. Bermond, A. Jean-Marie, D. Mazauric, J. Yu.

    Well Balanced Designs for Data Placement, in: Journal of Combinatorial Designs, February 2016, vol. 24, no 2, pp. 55-76. [ DOI : 10.1002/jcd.21506 ]

    https://hal.inria.fr/hal-01223288
  • 14J.-D. Boissonnat, D. Mazauric.

    On the complexity of the representation of simplicial complexes by trees, in: Theoretical Computer Science, February 2016, vol. 617, 17 p. [ DOI : 10.1016/j.tcs.2015.12.034 ]

    https://hal.inria.fr/hal-01259806
  • 15J. Carr, D. Mazauric, F. Cazals, D. J. Wales.

    Energy landscapes and persistent minima, in: The Journal of Chemical Physics, February 2016, vol. 144, no 5. [ DOI : 10.1063/1.4941052 ]

    https://hal.inria.fr/hal-01423280
  • 16D. Coudert, D. Mazauric, N. Nisse.

    Experimental Evaluation of a Branch and Bound Algorithm for Computing Pathwidth and Directed Pathwidth, in: ACM Journal of Experimental Algorithmics, 2016, vol. 21, no 1, 23 p. [ DOI : 10.1145/2851494 ]

    https://hal.inria.fr/hal-01266496
  • 17S. Grudinin, M. Kadukova, A. Eisenbarth, S. Marillet, F. Cazals.

    Predicting binding poses and affinities for protein-ligand complexes in the 2015 D3R Grand Challenge using a physical model with a statistical parameter estimation, in: Journal of Computer-Aided Molecular Design, September 2016, vol. 30, no 9, pp. 791–804. [ DOI : 10.1007/s10822-016-9976-2 ]

    https://hal.inria.fr/hal-01377738
  • 18A. Roth, T. Dreyfus, C. H. Robert, F. Cazals.

    Hybridizing rapidly growing random trees and basin hopping yields an improved exploration of energy landscapes, in: Journal of Computational Chemistry, January 2016, vol. 37, no 8, 14 p.

    https://hal.inria.fr/hal-01423282

International Conferences with Proceedings

  • 19D. Wassermann, D. Mazauric, G. Gallardo-Diez, R. Deriche.

    Extracting the Core Structural Connectivity Network: Guaranteeing Network Connectedness Through a Graph-Theoretical Approach, in: MICCAI 2016, Athens, Greece, September 2016.

    https://hal.inria.fr/hal-01333301

Internal Reports

  • 20F. Cazals, T. Dreyfus.

    The Structural Bioinformatics Library: modeling in biomolecular science and beyond, Inria, October 2016, no RR-8957.

    https://hal.inria.fr/hal-01379635
  • 21F. Cazals, D. Mazauric.

    Optimal transportation problems with connectivity constraints, Inria Sophia Antipolis ; Université Côte d'Azur, December 2016, no RR-8991, 24 p.

    https://hal.inria.fr/hal-01411117
  • 22F. Cazals, D. Mazauric, R. Tetley.

    Clustering stability revealed by matchings between clusters of clusters, Inria Sophia Antipolis ; Université Côte d'Azur, December 2016, no RR-8992, 51 p.

    https://hal.inria.fr/hal-01410396
  • 23S. Marillet, M.-P. Lefranc, P. Boudinot, F. Cazals.

    Novel structural parameters of Ig -Ag complexes yield a quantitative description of interaction specificity and binding affinity, Inria Sophia Antipolis, October 2016, no RR-8963.

    https://hal.inria.fr/hal-01381795

Scientific Popularization

  • 24D. Mazauric.

    Graphes et Algorithmes – Jeux grandeur nature, Inria, 2016, 401 p.

    https://hal.inria.fr/hal-01366804
  • 25D. Mazauric.

    Graphes et Algorithmes - Diffusion de l'information scientifique, 2016, 403 p, Slides de médiation scientifique pour comprendre les graphes et les algorithmes de manière ludique.

    https://hal.inria.fr/hal-01383665
References in notes
  • 26F. Alber, S. Dokudovskaya, L. Veenhoff, W. Zhang, J. Kipper, D. Devos, A. Suprapto, O. Karni-Schmidt, R. Williams, B. Chait, M. Rout, A. Sali.

    Determining the architectures of macromolecular assemblies, in: Nature, Nov 2007, vol. 450, pp. 683-694.
  • 27F. Alber, S. Dokudovskaya, L. Veenhoff, W. Zhang, J. Kipper, D. Devos, A. Suprapto, O. Karni-Schmidt, R. Williams, B. Chait, A. Sali, M. Rout.

    The molecular architecture of the nuclear pore complex, in: Nature, 2007, vol. 450, no 7170, pp. 695–701.
  • 28F. Alber, F. Förster, D. Korkin, M. Topf, A. Sali.

    Integrating Diverse Data for Structure Determination of Macromolecular Assemblies, in: Ann. Rev. Biochem., 2008, vol. 77, pp. 11.1–11.35.
  • 29O. Becker, A. D. Mackerell, B. Roux, M. Watanabe.

    Computational Biochemistry and Biophysics, M. Dekker, 2001.
  • 30A.-C. Camproux, R. Gautier, P. Tuffery.

    A Hidden Markov Model derived structural alphabet for proteins, in: J. Mol. Biol., 2004, pp. 591-605.
  • 31M. L. Connolly.

    Analytical molecular surface calculation, in: J. Appl. Crystallogr., 1983, vol. 16, no 5, pp. 548–558.
  • 32R. Dunbrack.

    Rotamer libraries in the 21st century, in: Curr Opin Struct Biol, 2002, vol. 12, no 4, pp. 431-440.
  • 33A. Fernandez, R. Berry.

    Extent of Hydrogen-Bond Protection in Folded Proteins: A Constraint on Packing Architectures, in: Biophysical Journal, 2002, vol. 83, pp. 2475-2481.
  • 34A. Fersht.

    Structure and Mechanism in Protein Science: A Guide to Enzyme Catalysis and Protein Folding, Freeman, 1999.
  • 35M. Gerstein, F. Richards.

    Protein geometry: volumes, areas, and distances, in: The international tables for crystallography (Vol F, Chap. 22), M. G. Rossmann, E. Arnold (editors), Springer, 2001, pp. 531–539.
  • 36H. Gohlke, G. Klebe.

    Statistical potentials and scoring functions applied to protein-ligand binding, in: Curr. Op. Struct. Biol., 2001, vol. 11, pp. 231-235.
  • 37J. Janin, S. Wodak, M. Levitt, B. Maigret.

    Conformations of amino acid side chains in proteins, in: J. Mol. Biol., 1978, vol. 125, pp. 357–386.
  • 38V. K. Krivov, M. Karplus.

    Hidden complexity of free energy surfaces for peptide (protein) folding, in: PNAS, 2004, vol. 101, no 41, pp. 14766-14770.
  • 39E. Meerbach, C. Schutte, I. Horenko, B. Schmidt.

    Metastable Conformational Structure and Dynamics: Peptides between Gas Phase and Aqueous Solution, in: Analysis and Control of Ultrafast Photoinduced Reactions. Series in Chemical Physics 87, O. Kuhn, L. Wudste (editors), Springer, 2007.
  • 40I. Mihalek, O. Lichtarge.

    On Itinerant Water Molecules and Detectability of Protein-Protein Interfaces through Comparative Analysis of Homologues, in: JMB, 2007, vol. 369, no 2, pp. 584–595.
  • 41J. Mintseris, B. Pierce, K. Wiehe, R. Anderson, R. Chen, Z. Weng.

    Integrating statistical pair potentials into protein complex prediction, in: Proteins, 2007, vol. 69, pp. 511–520.
  • 42M. Pettini.

    Geometry and Topology in Hamiltonian Dynamics and Statistical Mechanics, Springer, 2007.
  • 43E. Plaku, H. Stamati, C. Clementi, L. Kavraki.

    Fast and Reliable Analysis of Molecular Motion Using Proximity Relations and Dimensionality Reduction, in: Proteins: Structure, Function, and Bioinformatics, 2007, vol. 67, no 4, pp. 897–907.
  • 44D. Rajamani, S. Thiel, S. Vajda, C. Camacho.

    Anchor residues in protein-protein interactions, in: PNAS, 2004, vol. 101, no 31, pp. 11287-11292.
  • 45D. Reichmann, O. Rahat, S. Albeck, R. Meged, O. Dym, G. Schreiber.

    From The Cover: The modular architecture of protein-protein binding interfaces, in: PNAS, 2005, vol. 102, no 1, pp. 57-62.
  • 46F. Richards.

    Areas, volumes, packing and protein structure, in: Ann. Rev. Biophys. Bioeng., 1977, vol. 6, pp. 151-176.
  • 47G. Rylance, R. Johnston, Y. Matsunaga, C.-B. Li, A. Baba, T. Komatsuzaki.

    Topographical complexity of multidimensional energy landscapes, in: PNAS, 2006, vol. 103, no 49, pp. 18551-18555.
  • 48G. Schreiber, L. Serrano.

    Folding and binding: an extended family business, in: Current Opinion in Structural Biology, 2005, vol. 15, no 1, pp. 1–3.
  • 49M. Sippl.

    Calculation of Conformational Ensembles from Potential of Mean Force: An Approach to the Knowledge-based prediction of Local Structures in Globular Proteins, in: J. Mol. Biol., 1990, vol. 213, pp. 859-883.
  • 50C. Summa, M. Levitt, W. DeGrado.

    An atomic environment potential for use in protein structure prediction, in: JMB, 2005, vol. 352, no 4, pp. 986–1001.
  • 51S. Wodak, J. Janin.

    Structural basis of macromolecular recognition, in: Adv. in protein chemistry, 2002, vol. 61, pp. 9–73.


previous Previous | up Home