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المؤلفون: Rute R. da Fonseca, Lys Sanz Moreta
المصدر: Evolutionary Biology. 47:240-245
مصطلحات موضوعية: 0106 biological sciences, 0301 basic medicine, Nonsynonymous substitution, Computer science, Protein Data Bank (RCSB PDB), Context (language use), Computational biology, PROSITE, Biology, computer.software_genre, 010603 evolutionary biology, 01 natural sciences, Domain (software engineering), 03 medical and health sciences, Protein structure, Amino acid mutation, Relevance (information retrieval), Ecology, Evolution, Behavior and Systematics, chemistry.chemical_classification, Positive selection, A protein, computer.file_format, Protein Data Bank, Amino acid, 030104 developmental biology, chemistry, Scripting language, Proteome, Best matching, computer
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المؤلفون: William Bullock, Douglas L. Theobald, Lys Sanz Moreta, Andreas Manoukian, Ahmad Salim Al-Sibahi, Thomas Hamelryck, Basile Nicolas Rommes
المصدر: CIBCB
Proceedings of the ... IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology : CIBCB. IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biologyمصطلحات موضوعية: 0303 health sciences, Computer science, Bayesian probability, Probabilistic logic, protein superposition, Statistical model, Biomolecular structure, Protein structure prediction, Bayesian inference, Article, protein structure prediction, 03 medical and health sciences, 0302 clinical medicine, deep probabilistic programming, Prior probability, Probabilistic programming language, Bayesian modelling, Algorithm, 030217 neurology & neurosurgery, 030304 developmental biology
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d641104e1e6af18b4bcc2c8ada450080
https://pubmed.ncbi.nlm.nih.gov/34661202 -
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المؤلفون: Thomas Hamelryck, Ahmad Salim Al-Sibahi, Lys Sanz Moreta
المصدر: BIBE
مصطلحات موضوعية: 0303 health sciences, Computer science, 030302 biochemistry & molecular biology, Bayesian probability, Statistical model, Function (mathematics), Bayesian inference, Hybrid Monte Carlo, 03 medical and health sciences, Superposition principle, Maximum a posteriori estimation, Probabilistic programming language, Algorithm, 030304 developmental biology
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::2e9aa342ef7e2d9f2401e5e9ea2ee1c0
https://doi.org/10.1109/bibe50027.2020.00009 -
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المؤلفون: Rute R. da Fonseca, Lys Sanz Moreta
مصطلحات موضوعية: chemistry.chemical_classification, Protein structure, Amino acid mutation, Coupling (computer programming), chemistry, Computer science, Proteome, Context (language use), Link (geometry), Computational biology, Protein superfamily, Amino acid
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::719597e23cb2b4ae4c9a7e3f4d54ea15
https://doi.org/10.1101/380394 -
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المؤلفون: Anders Bundgård Sørensen, Christian S. Steenmanns, Lys Sanz Moreta, Christian B. Thygesen, Thomas Hamelryck, Ahmad Salim Al-Sibahi
المصدر: University of Copenhagen
Thygesen, C B, Al-Sibahi, A S, Steenmanns, C S, Sanz Moreta, L, Sørensen, A B & Hamelryck, T W 2021, Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model . in International Conference on Machine Learning, 18-24 July 2021, Virtual . PMLR, Proceedings of Machine Learning Research, vol. 139, pp. 10258-10267, 38th International Conference on Machine Learning, 18/07/2021 . < https://proceedings.mlr.press/v139/thygesen21a.html >مصطلحات موضوعية: Generative model, Fragment (logic), Computer science, Directional statistics, Probabilistic logic, Probabilistic programming language, Protein structure prediction, Uncertainty quantification, Markov model, Algorithm
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f92320426b7f08ca592d192186f8c42e
https://curis.ku.dk/portal/en/publications/efficient-generative-modelling-of-protein-structure-fragments-using-a-deep-markov-model(8a5efeb8-a3bf-48a3-bd47-1577e4464536).html
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