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

A Chemical Kinetic Basis for Measuring Translation Initiation and Elongation Rates from Ribosome Profiling data
A Sharma, P Sormanni, N Ahmed, P Ciryam, U Friedrich, G Kramer, E O'Brien
(2018)
In vitro and in silico assessment of the developability of a designed monoclonal antibody library.
A-M Wolf Pérez, P Sormanni, JS Andersen, LI Sakhnini, I Rodriguez-Leon, JR Bjelke, AJ Gajhede, L De Maria, DE Otzen, M Vendruscolo, N Lorenzen
– MAbs
(2018)
19420862.2018.1556082
Attentive Cross-Modal Paratope Prediction.
A Deac, P VeliČković, P Sormanni
– J Comput Biol
(2018)
cmb.2018.0175
Developability Assessment of Engineered Monoclonal Antibody Variants with a Complex Self-Association Behavior Using Complementary Analytical and in Silico Tools
L Shan, N Mody, P Sormani, KL Rosenthal, MM Damschroder, R Esfandiary
– Molecular pharmaceutics
(2018)
15,
5697
Third generation antibody discovery methods: in silico rational design
P Sormanni, FA Aprile, M Vendruscolo
– Chemical Society Reviews
(2018)
47,
9137
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
– Journal of Neuroscience 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
(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
  • 1 of 4
  • >

Research Group

Telephone number

01223 763845 (shared)
01223 763842

Email address

ps589@cam.ac.uk

College

Clare Hall