skip to content

Department of Chemistry

 

Dr Pietro Sormanni is a Borysiewicz Fellow at the University of Cambridge. His research focuses on the development of innovative data-driven technologies of rational antibody design, to obtain antibodies against targets that have been challenging to access using conventional approaches. At the Centre for Misfolding Diseases, he is applying these technologies to generate novel opportunities for research, diagnostics, and eventually treatment of neurodegenerative disorders, such as Alzheimer's or Parkinson's disease. In his work he has established numerous collaborations and industrial partnerships, whose outcomes are beginning to demonstrate that computational approaches can be applied alongside established procedures to streamline antibody development, and to offer time- and cost-effective novel alternatives.  

Prior to pursuing his postdoctoral research, Pietro obtained a PhD in Chemistry from the University of Cambridge, and an MSc in Theoretical Physics from the University of Milan.

Publications

Third generation antibody discovery methods: in silico rational design.
P Sormanni, FA Aprile, M Vendruscolo
– Chemical Society reviews
(2018)
Massively parallel C. elegans tracking provides multi-dimensional fingerprints for phenotypic discovery
M Perni, PK Challa, JB Kirkegaard, R Limbocker, M Koopman, MC Hardenberg, P Sormanni, T Müller, KL Saar, LWY Roode, J Habchi, G Vecchi, N Fernando, S Casford, EAA Nollen, M Vendruscolo, CM Dobson, TPJ Knowles
– J Neurosci Methods
(2018)
306,
57
A Rationally Designed Hsp70 Variant Rescues the Aggregation-Associated Toxicity of Human IAPP in Cultured Pancreatic Islet β-Cells.
MN Bongiovanni, FA Aprile, P Sormanni, M Vendruscolo
– International journal of molecular sciences
(2018)
19,
1443
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, E Barbet-Massin, P Sormanni, A Barbiroli, R Porcari, C Sousa Mota, D de Sanctis, M Bolognesi, L Emsley, V Bellotti, M Blackledge, C Camilloni, G Pintacuda, S Ricagno
– Nature Communications
(2018)
9,
1658
Parapred: antibody paratope prediction using convolutional and recurrent neural networks
E Liberis, P Velickovic, P Sormanni, M Vendruscolo, P Liò
– Bioinformatics (Oxford, England)
(2018)
34,
2944
Corneal Dystrophy Mutations Drive Pathogenesis by Targeting TGFBIp Stability and Solubility in a Latent Amyloid-forming Domain.
M Stenvang, NP Schafer, KG Malmos, A-MW Pérez, O Niembro, P Sormanni, RV Basaiawmoit, G Christiansen, M Andreasen, DE Otzen
– Journal of molecular biology
(2018)
430,
1116
Oxetane Grafts Installed Site-Selectively on Native Disulfides to Enhance Protein Stability and Activity In Vivo.
N Martínez-Sáez, S Sun, D Oldrini, P Sormanni, O Boutureira, F Carboni, I Compañón, MJ Deery, M Vendruscolo, F Corzana, R Adamo, GJL Bernardes
– Angew Chem Int Ed Engl
(2017)
56,
14963
MobiDB 3.0: More annotations for intrinsic disorder, conformational diversity and interactions in proteins
D Piovesan, F Tabaro, L Paladin, M Necci, I Micetic, C Camilloni, N Davey, Z Dosztányi, B Mészáros, AM Monzon, G Parisi, E Schad, P Sormanni, P Tompa, M Vendruscolo, WF Vranken, SCE Tosatto
– Nucleic acids research
(2018)
46,
D471
Delivery of Native Proteins into C. elegans Using a Transduction Protocol Based on Lipid Vesicles
M Perni, FA Aprile, S Casford, B Mannini, P Sormanni, CM Dobson, M Vendruscolo
– Scientific reports
(2017)
7,
15045
Rapid and accurate in silico solubility screening of a monoclonal antibody library.
P Sormanni, L Amery, S Ekizoglou, M Vendruscolo, B Popovic
– Scientific reports
(2017)
7,
8200
  • 1 of 3
  • >

Research Group

Telephone number

01223 763845 (shared)
01223 763842

Email address

ps589@cam.ac.uk

College

Clare Hall