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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

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Reference TypeJournal (article/letter/editorial)
TitleFrom protein sequence to dynamics and disorder with DynaMine
JournalNature Communications
AuthorsCilia, ElisaAuthor
Pancsa, RitaAuthor
Tompa, PeterAuthor
Lenaerts, TomAuthor
Vranken, Wim F.Author
Year2013 (December)Volume4
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1038/ncomms3741Search in ResearchGate
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Mindat Ref. ID6051558Long-form Identifiermindat:1:5:6051558:2
GUID0
Full ReferenceCilia, 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
Plain TextCilia, 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
In(2013) Nature Communications Vol. 4. Springer Science and Business Media LLC

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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
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
Pancsa, Rita, Macossay-Castillo, Mauricio, Kosol, Simone, Tompa, Peter (2016) Computational analysis of translational readthrough proteins in Drosophila and yeast reveals parallels to alternative splicing. Scientific Reports, 6. doi:10.1038/srep32142
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Pancsa, Rita, Zsolyomi, Fruzsina, Tompa, Peter (2018) Co-Evolution of Intrinsically Disordered Proteins with Folded Partners Witnessed by Evolutionary Couplings. International Journal of Molecular Sciences, 19. 3315pp. doi:10.3390/ijms19113315
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, 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
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
Van Nerom, Margot, Ahmed, Junaid, Lazar, Tamas, Meszaros, Attila, Galand, Quentin, De Malsche, Wim, Van Lindt, Joris, Pancsa, Rita, Maes, Dominique, Tompa, Peter (2024) C9orf72-linked arginine-rich dipeptide repeats aggravate pathological phase separation of G3BP1. Proceedings of the National Academy of Sciences, 121 (50). doi:10.1073/pnas.2402847121
Guharoy, Mainak, Bhowmick, Pallab, Sallam, Mohamed, Tompa, Peter (2016) Tripartite degrons confer diversity and specificity on regulated protein degradation in the ubiquitin-proteasome system. Nature Communications, 7. doi:10.1038/ncomms10239
Tolman, Joel R. (2009) Protein dynamics from disorder. Nature, 459 (7250). 1063-1064 doi:10.1038/4591063a
 
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