| Sequence-specific random coil chemical shifts of intrinsically disordered proteins K Tamiola, B Acar, FAA Mulder Journal of the American Chemical Society 132 (51), 18000-18003, 2010 | 340 | 2010 |
| Using NMR chemical shifts to calculate the propensity for structural order and disorder in proteins K Tamiola, FAA Mulder Biochemical Society Transactions 40 (5), 1014-1020, 2012 | 141 | 2012 |
| Production of D‐phenylglycine from racemic (D, L)‐phenylglycine via isoelectrically‐trapped penicillin G acylase A Bossi, M Cretich, PG Righetti Biotechnology and bioengineering 60 (4), 454-461, 1998 | 48 | 1998 |
| Deeply Branching c6-like Cytochromes of Cyanobacteria W Bialek, M Nelson, K Tamiola, T Kallas, A Szczepaniak Biochemistry 47 (20), 5515-5522, 2008 | 42 | 2008 |
| Preparation of D-amino acids by enzymatic kinetic resolution using a mutant of penicillin-G acylase from E. coli C Carboni, HGT Kierkels, L Gardossi, K Tamiola, DB Janssen, ... Tetrahedron: Asymmetry 17 (2), 245-251, 2006 | 24 | 2006 |
| ncIDP-assign: a SPARKY extension for the effective NMR assignment of intrinsically disordered proteins K Tamiola, FAA Mulder Bioinformatics 27 (7), 1039-1040, 2011 | 13 | 2011 |
| pepKalc - scalable and comprehensive calculation of electrostatic interactions in random coil polypeptides K Tamiola, MR Scheek, P van der Meulen, FAA Mulder Bioinformatics, 2018 | 12 | 2018 |
| ADOPT: intrinsic protein disorder prediction through deep bidirectional transformers I Redl, C Fisicaro, O Dutton, F Hoffmann, L Henderson, BMJ Owens, ... NAR Genomics and Bioinformatics 5 (2), lqad041, 2023 | 10 | 2023 |
| Probing the free energy landscape of the FBP28WW domain using multiple techniques X Periole, LR Allen, K Tamiola, AE Mark, E Paci Journal of computational chemistry 30 (7), 1059-1068, 2009 | 7 | 2009 |
| Controlled long-exposure imaging of a celestial object K Tamiola, LM Toma US Patent App. 15/034,488, 2016 | 2 | 2016 |
| Structural propensity database of proteins K Tamiola, MM Heberling, J Domanski bioRxiv, 144840, 2017 | 1 | 2017 |
| Optimizing protein language models with Sentence Transformers I Redl, F Airoldi, S Bottaro, A Chung, O Dutton, C Fisicaro, P Foerch, ... Neural Information Processing Systems, 2023 | | 2023 |
| NeRFax: An efficient and scalable conversion from the internal representation to Cartesian space O Dutton, F Hoffmann, K Tamiola bioRxiv, 2022.05. 25.493427, 2022 | | 2022 |
| Data-driven Modelling of Intrinsically Disordered Proteins K Tamiola University of Groningen, The Netherlands, 2019 | | 2019 |
| Intrinsically Disordered Proteins Studied by NMR Spectroscopy RP Isabella C. Felli Intrinsically Disordered Proteins Studied by NMR Spectroscopy 1, 2015 | | 2015 |
| 玩光弄影在山间 K Tamiola 收藏 10, 2013 | | 2013 |
| COMPUTATIONAL STUDIES OF TWO CYTOCHROMES c6 FROM CYANOBACTERIA Synechococcus sp. PCC 7002 K TAMIOŁA, A SZCZEPANIAK CELL. MOL. BIOL. LETT 9, 82, 2004 | | 2004 |
| Structural propensity database of K Tamiola, MM Heberling, J Domanski | | |
| NMR experimental data to characterize residue specific structural propensity in intrinsically disordered proteins K Tamiola, B Acar, R Otten, K Wood, FAA Mulder | | |
Frans AA MulderJohannes Kepler UniversityVerified email at jku.at
