المؤلفون: Guillaume Pagès

المصدر: Revue de Primatologie, Vol 6 (2016)

مصطلحات موضوعية: aliments préférés, Cercocebus sanjei, Mangabey, tannins condensés, Science, Zoology, QL1-991

وصف الملف: electronic resource

Relation: http://journals.openedition.org/primatologie/2389; https://doaj.org/toc/2077-3757

URL الوصول: https://doaj.org/article/4f5b2c2ef47942adaedda2eb29601af1

المؤلفون: Loïc Pagès, Marie Bernert, Guillaume Pagès

المساهمون: Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), BrainTech Laboratory [CHU Grenoble Alpes - Inserm U1205] (Brain Tech Lab ), CHU Grenoble-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA), Algorithms for Modeling and Simulating Nanosystems [2018-...] (NANO-D-POST [2018-2020]), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Lucas, Nelly, Algorithms for Modeling and Simulation of Nanosystems (NANO-D), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)

المصدر: Journal of Experimental Botany
Journal of Experimental Botany, 2020, 71 (12), pp.3524-3534. ⟨10.1093/jxb/eraa122⟩
Journal of Experimental Botany, Oxford University Press (OUP), 2020, 71 (12), pp.3524-3534. ⟨10.1093/jxb/eraa122⟩

مصطلحات موضوعية: 0106 biological sciences, 0301 basic medicine, phenotyping, root growth, Physiology, Meristem, Root (chord), Plant Science, Root system, Root tip, Plasticity, Plant Roots, 01 natural sciences, Growth model, 03 medical and health sciences, MESH: Growth model, photo-assimilates, root meristem, root traits, structure-function model, vascular resistance, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, Mathematics, AcademicSubjects/SCI01210, Maximal diameter, 15. Life on land, Research Papers, 030104 developmental biology, Homogeneous, structure–function model, Growth and Development, Time variations, Elongation, Biological system, human activities, 010606 plant biology & botany

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8470b85a6663fd8eba572bd5916fb4e3
https://doi.org/10.1093/jxb/eraa122

المؤلفون: Guillaume Pagès, Sergei Grudinin

المساهمون: Algorithms for Modeling and Simulation of Nanosystems (NANO-D), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])

المصدر: Journal of Structural Biology
Journal of Structural Biology, Elsevier, 2018, 203 (3), pp.185-194. ⟨10.1016/j.jsb.2018.05.005⟩
Journal of Structural Biology, 2018, 203 (3), pp.185-194. ⟨10.1016/j.jsb.2018.05.005⟩

مصطلحات موضوعية: 0301 basic medicine, Protein Structure, Protein Conformation, Icosahedral symmetry, Symmetry group, Dihedral angle, Crystallography, X-Ray, Topology, 03 medical and health sciences, Discrete Optimization, Structural Biology, Molecular symmetry, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, Databases, Protein, Continuous Optimization, Physics, Quantitative Biology::Biomolecules, Point-Group Symmetry, Proteins, computer.file_format, Protein Data Bank, Cubic Groups, 030104 developmental biology, Group Theory, Tetrahedron, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Symmetry (geometry), computer, Algorithms, Software, Group theory

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4400fb1a85f29843bc7a515490c13913
https://doi.org/10.1016/j.jsb.2018.05.005

المؤلفون: Guillaume Pagès, Sergei Grudinin, Elvira Kinzina

المساهمون: Algorithms for Modeling and Simulation of Nanosystems (NANO-D), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Moscow Institute of Physics and Technology [Moscow] (MIPT)

المصدر: Journal of Structural Biology
Journal of Structural Biology, Elsevier, 2018, 203 (2), pp.142-148. ⟨10.1016/j.jsb.2018.04.004⟩
Journal of Structural Biology, 2018, 203 (2), pp.142-148. ⟨10.1016/j.jsb.2018.04.004⟩

مصطلحات موضوعية: 0301 basic medicine, Cyclic symmetry in three dimensions, Protein Structure, Computer science, Protein Assemblies, Topology, Machine epsilon, 03 medical and health sciences, Structural Biology, Position (vector), Euclidean geometry, Molecular symmetry, Databases, Protein, Continuous Optimization, Point-Group Symmetry, Proteins, computer.file_format, Function (mathematics), Protein Data Bank, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, 030104 developmental biology, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Symmetry (geometry), computer, Algorithms, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9deecf9b3bb27787c956c8f3fb412d2f
https://doi.org/10.1016/j.jsb.2018.04.004

المؤلفون: Guillaume, Pagès, Sergei, Grudinin

المصدر: Methods in molecular biology (Clifton, N.J.). 2165

مصطلحات موضوعية: Isomerism, Protein Conformation, Sequence Analysis, Protein, Protein Multimerization, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid________::fec61087b922d914e5a2ba8b16bafd9d
https://pubmed.ncbi.nlm.nih.gov/32621229

المؤلفون: Sergei Grudinin, Guillaume Pagès

المساهمون: Algorithms for Modeling and Simulating Nanosystems [2018-...] (NANO-D-POST [2018-2020]), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Algorithms for Modeling and Simulation of Nanosystems (NANO-D), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)

المصدر: Methods in Molecular Biology ISBN: 9781071607077
Protein Structure Prediction. Methods in Molecular Biology
Protein Structure Prediction. Methods in Molecular Biology, pp.245-257, 2020, ⟨10.1007/978-1-0716-0708-4_14⟩

مصطلحات موضوعية: Quaternion arithmetic, Physics, Quantitative Biology::Biomolecules, 0303 health sciences, Pure mathematics, Icosahedral symmetry, Dihedral angle, Symmetry group, [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], 010402 general chemistry, 01 natural sciences, Protein Assembly, Symmetry axes detection, Protein Symmetry, 0104 chemical sciences, 03 medical and health sciences, Protein structure, Octahedron, Continuous optimization, Homogeneous space, Tetrahedron, [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Symmetry (geometry), 030304 developmental biology

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45ecb666436da2063922d9ff31faa64b
https://doi.org/10.1007/978-1-0716-0708-4_14

المؤلفون: Sergei Grudinin, Guillaume Pagès

المساهمون: Algorithms for Modeling and Simulating Nanosystems [2018-...] (NANO-D-POST [2018-2020]), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Algorithms for Modeling and Simulation of Nanosystems (NANO-D), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])

المصدر: Bioinformatics
Bioinformatics, 2019, 35 (24), pp.5113-5120. ⟨10.1093/bioinformatics/btz454⟩
Bioinformatics, Oxford University Press (OUP), 2019, 35 (24), pp.5113-5120. ⟨10.1093/bioinformatics/btz454⟩

مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Computer Science - Machine Learning, Computer science, Protein Data Bank (RCSB PDB), FOS: Physical sciences, Biochemistry, Quantitative Biology - Quantitative Methods, Machine Learning (cs.LG), 03 medical and health sciences, Protein structure, Tandem repeat, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Physics - Biological Physics, Molecular Biology, Quantitative Methods (q-bio.QM), 030304 developmental biology, 0303 health sciences, Basis (linear algebra), 030302 biochemistry & molecular biology, Proteins, Computer Science Applications, Computational Mathematics, Computational Theory and Mathematics, Structural biology, Biological Physics (physics.bio-ph), Tandem Repeat Sequences, FOS: Biological sciences, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Symmetry (geometry), [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Algorithm, Algorithms, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32a1e154110f05e43b3305f4f4ba57bb
https://inria.hal.science/hal-01903624

المؤلفون: Bohdan Monastyrskyy, Juri Rappsilber, Krzysztof Fidelis, J. Eduardo Fajardo, Mikhail Karasikov, Alexander Leitner, Agnieszka S. Karczyńska, Andras Fiser, Adam Belsom, Silvia Crivelli, Emilia A. Lubecka, Celina Sikorska, Andriy Kryshtafovych, Nelson Gil, Cezary Czaplewski, Rojan Shrestha, Esben Trabjerg, Sergei Grudinin, Guillaume Pagès, Adam Liwo, Adam K. Sieradzan

المساهمون: Department of Systems & Computational Biology [New York], Albert Einstein College of Medicine [New York], Department of Biochemistry [New York], Institut für Biotechnologie [berlin], Technische Universität Berlin (TU), Department of Computer Science [Davis] (UC Davis), University of California [Davis] (UC Davis), University of California-University of California, Department of Environmental Analytics [Univ Gdańsk], Faculty of Chemistry [Univ Gdańsk], University of Gdańsk (UG)-University of Gdańsk (UG), Genome Center [UC Davis], Algorithms for Modeling and Simulation of Nanosystems (NANO-D), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Moscow Institute of Physics and Technology [Moscow] (MIPT), Skolkovo Institute of Science and Technology [Moscow] (Skoltech), Department of Computer Science [ETH Zürich] (D-INFK), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Institute of Molecular Systems Biology [Zurich], Korea Institute for Advanced Study (KIAS), Institute of Mathematics [Univ Gdańsk], University of Gdańsk (UG), Wellcome Trust Centre for Cell Biology, University of Edinburgh, Technical University of Berlin / Technische Universität Berlin (TU), Department of Computer Science [Univ California Davis] (CS - UC Davis), University of California (UC)-University of California (UC), Algorithms for Modeling and Simulating Nanosystems [2018-...] (NANO-D-POST [2018-2020]), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

المصدر: Proteins-Structure, Function and Bioinformatics
Proteins-Structure, Function and Bioinformatics, Wiley, 2019, Critical Assessment of Methods of Protein Structure Prediction (CASP) Special Issue, 87 (12), pp.1283-1297. ⟨10.1002/prot.25816⟩
Proteins
Proteins-Structure, Function and Bioinformatics, 2019, Critical Assessment of Methods of Protein Structure Prediction (CASP) Special Issue, 87 (12), pp.1283-1297. ⟨10.1002/prot.25816⟩
Fajardo, J E, Shrestha, R, Gil, N, Belsom, A, Crivelli, S N, Czaplewski, C, Fidelis, K, Grudinin, S, Karasikov, M, Karczyńska, A S, Kryshtafovych, A, Leitner, A, Liwo, A, Lubecka, E A, Monastyrskyy, B, Pagès, G, Rappsilber, J, Sieradzan, A K, Sikorska, C, Trabjerg, E & Fiser, A 2019, ' Assessment of chemical-crosslink-assisted protein structure modeling in CASP13 ', Proteins: Structure, Function, and Bioinformatics, vol. 87, no. 12, pp. 1283-1297 . https://doi.org/10.1002/prot.25816

مصطلحات موضوعية: CASP13, Models, Molecular, Computer science, Protein Conformation, Context (language use), Computational biology, Routine practice, 010402 general chemistry, Mass spectrometry, Machine learning, computer.software_genre, 01 natural sciences, Biochemistry, Article, [PHYS.PHYS.PHYS-COMP-PH]Physics [physics]/Physics [physics]/Computational Physics [physics.comp-ph], 03 medical and health sciences, Protein structure, chemical-crosslink-assisted protein structure modeling, Structural Biology, Tandem Mass Spectrometry, Molecular Biology, 030304 developmental biology, 0303 health sciences, Chemistry, business.industry, 030302 biochemistry & molecular biology, Model protein, Computational Biology, Proteins, Reproducibility of Results, 0104 chemical sciences, [SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biophysics, Workflow, Cross-Linking Reagents, Models, Chemical, chemical crosslinking/mass spectrometry, Critical assessment, Artificial intelligence, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], business, Protein structure modeling, computer, Function (biology), Algorithms, Chromatography, Liquid

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3892ed07b6cd880b9e30c43694e4aed5
https://pubmed.ncbi.nlm.nih.gov/31977133

المؤلفون: Benoit Charmettant, Guillaume Pagès, Sergei Grudinin

المساهمون: Algorithms for Modeling and Simulation of Nanosystems (NANO-D), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Algorithms for Modeling and Simulating Nanosystems [2018-...] (NANO-D-POST [2018-2020]), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

المصدر: Bioinformatics
Bioinformatics, Oxford University Press (OUP), 2019, 35 (18), pp.3313-3319. ⟨10.1093/bioinformatics/btz122⟩
Bioinformatics, 2019, 35 (18), pp.3313-3319. ⟨10.1093/bioinformatics/btz122⟩

مصطلحات موضوعية: Statistics and Probability, Computer science, 0206 medical engineering, 02 engineering and technology, Machine learning, computer.software_genre, Biochemistry, Convolutional neural network, Machine Learning, 03 medical and health sciences, Structural bioinformatics, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, CASP, Molecular Biology, 030304 developmental biology, 0303 health sciences, Artificial neural network, business.industry, Quality assessment, 030302 biochemistry & molecular biology, Proteins, Pattern recognition, Computer Science Applications, Computational Mathematics, Computational Theory and Mathematics, Protein model, Artificial intelligence, Neural Networks, Computer, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], business, computer, 020602 bioinformatics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baf23ecbee34f260d858226798ad66fb
https://pubmed.ncbi.nlm.nih.gov/30874723

المؤلفون: Sergei Grudinin, Guillaume Pagès, Mikhail Karasikov

المساهمون: Moscow Institute of Physics and Technology [Moscow] (MIPT), Algorithms for Modeling and Simulation of Nanosystems (NANO-D), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Algorithms for Modeling and Simulating Nanosystems [2018-...] (NANO-D-POST [2018-2020]), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

المصدر: Bioinformatics
Bioinformatics, Oxford University Press (OUP), 2019, 35 (16), pp.2801-2808. ⟨10.1093/bioinformatics/bty1037⟩
Bioinformatics, 2019, 35 (16), pp.2801-2808. ⟨10.1093/bioinformatics/bty1037⟩

مصطلحات موضوعية: Statistics and Probability, Models, Molecular, 0303 health sciences, Computer science, Hydrogen bond, Protein Conformation, 030302 biochemistry & molecular biology, Protein design, Atomic coordinates, Function (mathematics), Protein structure prediction, Biochemistry, Computer Science Applications, 03 medical and health sciences, Computational Mathematics, Structural bioinformatics, Protein structure, Computational Theory and Mathematics, Grain Proteins, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Molecular Biology, Algorithm, 030304 developmental biology

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83f196efcc41541c5a86bcd341ac67c4
https://pubmed.ncbi.nlm.nih.gov/30590384