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Pietro Sormanni
Pietro Sormanni
Royal Society University Research Fellow, Department of Chemistry, University of Cambridge.
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
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
3842015
A natural product inhibits the initiation of α-synuclein aggregation and suppresses its toxicity
M Perni, C Galvagnion, A Maltsev, G Meisl, MBD MŘller, PK Challa, ...
Proceedings of the National Academy of Sciences 114 (6), E1009-E1017, 2017
2972017
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
2102018
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
1662019
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
1392015
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
1372017
Parapred: antibody paratope prediction using convolutional and recurrent neural networks
E Liberis, P Veličković, P Sormanni, M Vendruscolo, P Li˛
Bioinformatics 34 (17), 2944-2950, 2018
1322018
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
1192017
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
1142020
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
1142017
Third generation antibody discovery methods: in silico rational design
P Sormanni, FA Aprile, M Vendruscolo
Chemical Society Reviews 47 (24), 9137-9157, 2018
1092018
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
1022016
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
1002015
Targeting disordered proteins with small molecules using entropy
GT Heller, P Sormanni, M Vendruscolo
Trends in biochemical sciences 40 (9), 491-496, 2015
932015
In vitro and in silico assessment of the developability of a designed monoclonal antibody library
AM Wolf PÚrez, P Sormanni, JS Andersen, LI Sakhnini, I Rodriguez-Leon, ...
MAbs 11 (2), 388-400, 2019
742019
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
672021
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
672020
Conformational dynamics in crystals reveal the molecular bases for D76N beta-2 microglobulin aggregation propensity
T Le Marchand, M de Rosa, N Salvi, BM Sala, LB Andreas, ...
Nature communications 9 (1), 1658, 2018
592018
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
582019
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
582018
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