Raimondi, Daniele, Orlando, Gabriele, Tabaro, Francesco, Lenaerts, Tom, Rooman, Marianne, Moreau, Yves, Vranken, Wim F. (2018) Large-scale in-silico statistical mutagenesis analysis sheds light on the deleteriousness landscape of the human proteome. Scientific Reports, 8. doi:10.1038/s41598-018-34959-7

See Also

These are possibly similar items as determined by title/reference text matching only.

	Raimondi, Daniele, Orlando, Gabriele, Vranken, Wim F., Moreau, Yves (2019) Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysis. Scientific Reports, 9. doi:10.1038/s41598-019-53324-w
	Raimondi, Daniele, Orlando, Gabriele, Pancsa, Rita, Khan, Taushif, Vranken, Wim F. (2017) Exploring the Sequence-based Prediction of Folding Initiation Sites in Proteins. Scientific Reports, 7. doi:10.1038/s41598-017-08366-3
	Orlando, Gabriele, Raimondi, Daniele, Codicè, Francesco, Tabaro, Francesco, Vranken, Wim (2022) Prediction of Disordered Regions in Proteins with Recurrent Neural Networks and Protein Dynamics. Journal of Molecular Biology, 434 (12) 167579 doi:10.1016/j.jmb.2022.167579
	Raimondi, Daniele, Orlando, Gabriele, Pancsa, Rita, Khan, Taushif, Vranken, Wim F. (2019) Author Correction: Exploring the Sequence-based Prediction of Folding Initiation Sites in Proteins. Scientific Reports, 9. doi:10.1038/s41598-019-48219-9
	Orlando, Gabriele, Raimondi, Daniele, F. Vranken, Wim (2019) Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index. Nature Communications, 10. doi:10.1038/s41467-019-10322-w
	Hou, Qingzhen, Bourgeas, Raphaël, Pucci, Fabrizio, Rooman, Marianne (2018) Computational analysis of the amino acid interactions that promote or decrease protein solubility. Scientific Reports, 8. doi:10.1038/s41598-018-32988-w
	Ancien, François, Pucci, Fabrizio, Godfroid, Maxime, Rooman, Marianne (2018) Prediction and interpretation of deleterious coding variants in terms of protein structural stability. Scientific Reports, 8. doi:10.1038/s41598-018-22531-2
	Orlando, Gabriele, Raimondi, Daniele, Duran-Romaña, Ramon, Moreau, Yves, Schymkowitz, Joost, Rousseau, Frederic (2022) PyUUL provides an interface between biological structures and deep learning algorithms. Nature Communications, 13 (1) doi:10.1038/s41467-022-28327-3
	Dekker, Pieter M., Boeren, Sjef, Saccenti, Edoardo, Hettinga, Kasper A. (2024) Network analysis of the proteome and peptidome sheds light on human milk as a biological system. Scientific Reports, 14 (1) doi:10.1038/s41598-024-58127-2
	Orlando, G., Raimondi, D., Vranken, W. F. (2016) Observation selection bias in contact prediction and its implications for structural bioinformatics. Scientific Reports, 6. doi:10.1038/srep36679
	Cilia, Elisa, Pancsa, Rita, Tompa, Peter, Lenaerts, Tom, Vranken, Wim F. (2013) From protein sequence to dynamics and disorder with DynaMine. Nature Communications, 4. doi:10.1038/ncomms3741