Obserwuj
Pietro Sormanni
Pietro Sormanni
Royal Society University Research Fellow, Department of Chemistry, University of Cambridge.
Zweryfikowany adres z cam.ac.uk
Tytuł
Cytowane przez
Cytowane przez
Rok
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
3942015
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
3002017
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
2162018
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
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
1432017
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
1412015
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
1392018
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
1172017
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
1162017
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
1152020
Third generation antibody discovery methods: in silico rational design
P Sormanni, FA Aprile, M Vendruscolo
Chemical Society Reviews 47 (24), 9137-9157, 2018
1132018
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
1042016
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
992015
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
762019
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
722020
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
682021
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
Attentive cross-modal paratope prediction
A Deac, P VeliČković, P Sormanni
Journal of Computational Biology 26 (6), 536-545, 2019
582019
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
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20