| The CamSol method of rational design of protein mutants with enhanced solubility P Sormanni, FA Aprile, M Vendruscolo Journal of molecular biology 427 (2), 478-490, 2015 | 475 | 2015 |
| A natural product inhibits the initiation of α-synuclein aggregation and suppresses its toxicity M Perni, C Galvagnion, A Maltsev, G Meisl, MBD Müller, PK Challa, ... Proceedings of the National Academy of Sciences 114 (6), E1009-E1017, 2017 | 334 | 2017 |
| MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins D Piovesan, F Tabaro, L Paladin, M Necci, I Mičetić, C Camilloni, N Davey, ... Nucleic acids research 46 (D1), D471-D476, 2018 | 228 | 2018 |
| Different soluble aggregates of Aβ42 can give rise to cellular toxicity through different mechanisms S De, DC Wirthensohn, P Flagmeier, C Hughes, FA Aprile, FS Ruggeri, ... Nature communications 10 (1), 1541, 2019 | 209 | 2019 |
| Parapred: antibody paratope prediction using convolutional and recurrent neural networks E Liberis, P Veličković, P Sormanni, M Vendruscolo, P Liò Bioinformatics 34 (17), 2944-2950, 2018 | 163 | 2018 |
| Selective targeting of primary and secondary nucleation pathways in Aβ42 aggregation using a rational antibody scanning method FA Aprile, P Sormanni, M Perni, P Arosio, S Linse, TPJ Knowles, ... Science advances 3 (6), e1700488, 2017 | 162 | 2017 |
| Rational design of antibodies targeting specific epitopes within intrinsically disordered proteins P Sormanni, FA Aprile, M Vendruscolo Proceedings of the National Academy of Sciences 112 (32), 9902-9907, 2015 | 152 | 2015 |
| Third generation antibody discovery methods: in silico rational design P Sormanni, FA Aprile, M Vendruscolo Chemical Society Reviews 47 (24), 9137-9157, 2018 | 141 | 2018 |
| Proteome-wide observation of the phenomenon of life on the edge of solubility G Vecchi, P Sormanni, B Mannini, A Vandelli, GG Tartaglia, CM Dobson, ... Proceedings of the National Academy of Sciences 117 (2), 1015-1020, 2020 | 137 | 2020 |
| Rapid and accurate in silico solubility screening of a monoclonal antibody library P Sormanni, L Amery, S Ekizoglou, M Vendruscolo, B Popovic Scientific reports 7 (1), 8200, 2017 | 136 | 2017 |
| Simultaneous quantification of protein order and disorder P Sormanni, D Piovesan, GT Heller, M Bonomi, P Kukic, C Camilloni, ... Nature chemical biology 13 (4), 339-342, 2017 | 127 | 2017 |
| A protein homeostasis signature in healthy brains recapitulates tissue vulnerability to Alzheimer’s disease R Freer, P Sormanni, G Vecchi, P Ciryam, CM Dobson, M Vendruscolo Science advances 2 (8), e1600947, 2016 | 112 | 2016 |
| Targeting disordered proteins with small molecules using entropy GT Heller, P Sormanni, M Vendruscolo Trends in biochemical sciences 40 (9), 491-496, 2015 | 109 | 2015 |
| The s2D method: simultaneous sequence-based prediction of the statistical populations of ordered and disordered regions in proteins P Sormanni, C Camilloni, P Fariselli, M Vendruscolo Journal of molecular biology 427 (4), 982-996, 2015 | 109 | 2015 |
| Quantifying misfolded protein oligomers as drug targets and biomarkers in Alzheimer and Parkinson diseases K Kulenkampff, AM Wolf Perez, P Sormanni, J Habchi, M Vendruscolo Nature Reviews Chemistry 5 (4), 277-294, 2021 | 95 | 2021 |
| In vitro and in silico assessment of the developability of a designed monoclonal antibody library AM Wolf Pérez, P Sormanni, JS Andersen, LI Sakhnini, I Rodriguez-Leon, ... MAbs 11 (2), 388-400, 2019 | 87 | 2019 |
| Rational design of a conformation-specific antibody for the quantification of Aβ oligomers FA Aprile, P Sormanni, M Podpolny, S Chhangur, LM Needham, ... Proceedings of the National Academy of Sciences 117 (24), 13509-13518, 2020 | 82 | 2020 |
| Current advances in biopharmaceutical informatics: guidelines, impact and challenges in the computational developability assessment of antibody therapeutics R Khetan, R Curtis, CM Deane, JT Hadsund, U Kar, K Krawczyk, ... MAbs 14 (1), 2020082, 2022 | 73 | 2022 |
| A chemical kinetic basis for measuring translation initiation and elongation rates from ribosome profiling data AK Sharma, P Sormanni, N Ahmed, P Ciryam, UA Friedrich, G Kramer, ... PLoS computational biology 15 (5), e1007070, 2019 | 70 | 2019 |
| Massively parallel C. elegans tracking provides multi-dimensional fingerprints for phenotypic discovery M Perni, PK Challa, JB Kirkegaard, R Limbocker, M Koopman, ... Journal of neuroscience methods 306, 57-67, 2018 | 69 | 2018 |
Michele VendruscoloProfessor of Biophysics, University of CambridgeVerified email at cam.ac.uk
