-
1دورية أكاديمية
المؤلفون: Annika Behrendt, Pegah Golchin, Filip König, Daniel Mulnaes, Amelie Stalke, Carola Dröge, Verena Keitel, Holger Gohlke
المصدر: Hepatology Communications, Vol 6, Iss 11, Pp 3098-3111 (2022)
مصطلحات موضوعية: Diseases of the digestive system. Gastroenterology, RC799-869
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2471-254X
-
2
المؤلفون: Holger Gohlke, Christina Nutschel, Benoit David, Daniel Mulnaes, Manuel Ferrer, Cristina Coscolín, Karl-Erich Jaeger
المصدر: Journal of chemical information and modeling 61(5), 2383-2395 (2021). doi:10.1021/acs.jcim.1c00152
مصطلحات موضوعية: 010304 chemical physics, biology, Chemistry, General Chemical Engineering, Esterases, Esters, General Chemistry, Computational biology, Library and Information Sciences, 01 natural sciences, Substrate Specificity, 0104 chemical sciences, Computer Science Applications, Conformational proofreading, 010404 medicinal & biomolecular chemistry, Promiscuity, ddc:540, 0103 physical sciences, biology.protein, Substrate specificity, Sequence space (evolution)
-
3
-
4
المؤلفون: Daniel Mulnaes, Filip Koenig, Holger Gohlke
المصدر: Journal of chemical information and modeling 61(2), 548–553 (2021). doi:10.1021/acs.jcim.0c01202
مصطلحات موضوعية: Web server, Protein Conformation, Computer science, General Chemical Engineering, Library and Information Sciences, Crystallography, X-Ray, computer.software_genre, 01 natural sciences, Deep Learning, Software, Protein structure, Resource (project management), 0103 physical sciences, Structure (mathematical logic), 010304 chemical physics, Artificial neural network, business.industry, Deep learning, Proteins, General Chemistry, Protein structure prediction, 0104 chemical sciences, Computer Science Applications, 010404 medicinal & biomolecular chemistry, ddc:540, Neural Networks, Computer, Data mining, Artificial intelligence, business, computer
-
5
المؤلفون: Daniel Mulnaes, Holger Gohlke
المصدر: Journal of Chemical Theory and Computation. 14:6117-6126
مصطلحات موضوعية: Models, Molecular, 0301 basic medicine, Protein Conformation, Computer science, Value (computer science), Machine learning, computer.software_genre, Field (computer science), 03 medical and health sciences, Physical and Theoretical Chemistry, Databases, Protein, 030102 biochemistry & molecular biology, Artificial neural network, business.industry, Quality assessment, Proteins, Protein structure prediction, Computer Science Applications, Metamodeling, 030104 developmental biology, Protein model, Deep neural networks, Neural Networks, Computer, Artificial intelligence, business, computer
-
6
المؤلفون: Stephan Schott-Verdugo, Filip Koenig, Holger Gohlke, Daniel Mulnaes
المصدر: Journal of chemical theory and computation 17(11), 7281-7289 (2021). doi:10.1021/acs.jctc.1c00685
مصطلحات موضوعية: chemistry.chemical_classification, Web server, Globular protein, Computer science, Computational Biology, Membrane Proteins, Computational biology, Protein structure prediction, computer.software_genre, Solvent accessibility, Transmembrane protein, Protein Structure, Secondary, Computer Science Applications, chemistry, Membrane topology, Deep neural networks, Neural Networks, Computer, ddc:610, Physical and Theoretical Chemistry, Databases, Protein, computer, Protein secondary structure, Algorithms
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c513c7d71620716c1e67d591f86b263c
https://hdl.handle.net/2128/29043 -
7
المؤلفون: Pegah Golchin, Filip Koenig, Holger Gohlke, Daniel Mulnaes
المصدر: Journal of chemical theory and computation 17(7), 4599–4613 (2021). doi:10.1021/acs.jctc.1c00129
مصطلحات موضوعية: 010304 chemical physics, Computer science, business.industry, Protein Conformation, Deep learning, Protein domain, Boundary (topology), Computational Biology, Proteins, Pattern recognition, Protein structure prediction, 01 natural sciences, Computer Science Applications, Domain (software engineering), Set (abstract data type), Data set, Deep Learning, Protein Domains, Test set, 0103 physical sciences, Artificial intelligence, ddc:610, Physical and Theoretical Chemistry, business, Algorithms
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72dc67ffbc96d8b540b36abe7751d929
https://hdl.handle.net/2128/28154 -
8
المؤلفون: Daniel Mulnaes, Christina Nutschel, Cristina Coscolín, Benoit David, Manuel Ferrer, Holger Gohlke, Karl-Erich Jaeger
مصطلحات موضوعية: Conformational proofreading, Promiscuity, biology, Chemistry, biology.protein, Computational biology, Sequence space (evolution)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::25ac37cbe7cf62676f3be163b47f295a
https://doi.org/10.1101/2020.06.02.129015 -
9
المؤلفون: Daniel Mulnaes, Irina Apanasenko, Lothar Gremer, Jens Reiners, Nicola Porta, Sander H. J. Smits, Philipp Neudecker, Rebecca Clemens, Holger Gohlke
المصدر: Journal of chemical theory and computation 16(3), 1953-1967 (2020). doi:10.1021/acs.jctc.9b00825
مصطلحات موضوعية: Majority rule, 010304 chemical physics, Computer science, Protein Conformation, Experimental data, Proteins, Protein structure prediction, computer.software_genre, 01 natural sciences, Computer Science Applications, Protein structure, Workflow, Template, 0103 physical sciences, Humans, Data mining, ddc:610, Neural Networks, Computer, Physical and Theoretical Chemistry, Threading (protein sequence), CASP, computer
-
10
المؤلفون: Georg Groth, Anna Kinnen, Holger Gohlke, Markus Dick, Daniel Mulnaes, Christopher Pfleger, Dalibor Milić
المصدر: Scientific reports 8(1), 3890 (2018). doi:10.1038/s41598-018-21952-3
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)مصطلحات موضوعية: 0301 basic medicine, Ethylene, Receptors, Peptide, Amino Acid Motifs, Arabidopsis, lcsh:Medicine, Peptide, Receptors, Cell Surface, Plasma protein binding, 01 natural sciences, Article, 03 medical and health sciences, chemistry.chemical_compound, Plant Growth Regulators, Gene Expression Regulation, Plant, 0103 physical sciences, Receptor, lcsh:Science, Plant Proteins, chemistry.chemical_classification, Peptide Metabolism, Multidisciplinary, 010304 chemical physics, biology, Arabidopsis Proteins, lcsh:R, food and beverages, Ripening, Ethylenes, biology.organism_classification, Plants, Genetically Modified, Cell biology, 030104 developmental biology, chemistry, Fruit, ddc:000, lcsh:Q, Plant hormone, Signal transduction, Peptides, ethylene signaling, ethylene receptor, ripening inhibition, Protein Binding, Signal Transduction
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce89285bbc08705f02af26ab4ef5f569
https://resolver.caltech.edu/CaltechAUTHORS:20180306-100821235