Sormanni, Pietro

The CamSol method of rational design of protein mutants with enhanced solubility

Sormanni, P., Aprile, F. A., & Vendruscolo, M. (2015) · Journal of Molecular Biology

Protein Structure and DynamicsProtein purification and stability

Cited by 494

Different soluble aggregates of Aβ42 can give rise to cellular toxicity through different mechanisms

De, S., Wirthensohn, D. C., Flagmeier, P., Hughes, C., Aprile, F. A., Ruggeri, F. S., Whiten, D. R., Emin, D., Xia, Z., Varela, J. A., et al. (2019) · Nature Communications

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 448

Critical assessment of protein intrinsic disorder prediction

Necci, M., Piovesan, D., Predictors, C., Hoque, M. T., Walsh, I., Iqbal, S., Vendruscolo, M., Sormanni, P., Wang, C., Raimondi, D., et al. (2021) · Nature Methods

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 343

Parapred: antibody paratope prediction using convolutional and recurrent neural networks

Liberis, E., Veličković, P., Sormanni, P., Vendruscolo, M., & Liò, P. (2018) · Bioinformatics

Machine Learning in Bioinformaticsvaccines and immunoinformatics approaches

Cited by 165

In vitro and in silico assessment of the developability of a designed monoclonal antibody library

Wolf Pérez, A.-M., Sormanni, P., Andersen, J. S., Sakhnini, L. I., Rodriguez-Leon, I., Bjelke, J. R., Gajhede, A. J., De Maria, L., Otzen, D. E., Vendruscolo, M., et al. (2019) · mAbs

Monoclonal and Polyclonal Antibodies ResearchProtein purification and stability

Cited by 97

A Chemical Kinetic Basis for Measuring Translation Initiation and Elongation Rates from Ribosome Profiling data

Sharma, A. K., Sormanni, P., Ahmed, N., Ciryam, P., Friedrich, U. A., Kramer, G., & O’Brien, E. P. (2018) · PLoS Computational Biology

RNA and protein synthesis mechanismsGenomics and Phylogenetic Studies

Cited by 68

A chemical kinetic basis for measuring translation initiation and elongation rates from ribosome profiling data

Sharma, A. K., Sormanni, P., Ahmed, N., Ciryam, P., Friedrich, U. A., Kramer, G., & O’Brien, E. P. (2019) · PLOS Computational Biology

RNA and protein synthesis mechanismsGenomics and Phylogenetic Studies

Cited by 68

Fragment-based computational design of antibodies targeting structured epitopes

Aguilar Rangel, M., Bedwell, A., Costanzi, E., Taylor, R. J., Russo, R., Bernardes, G. J. L., Ricagno, S., Frydman, J., Vendruscolo, M., & Sormanni, P. (2022) · Science Advances

Monoclonal and Polyclonal Antibodies Researchvaccines and immunoinformatics approaches

Cited by 55

Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through NanoMelt

Ramon, A., Ni, M., Predeina, O., Gaffey, R., Kunz, P., Onuoha, S., & Sormanni, P. (2025) · mAbs

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 13

Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through NanoMelt

Ramon, A., Ni, M., Predeina, O., Gaffey, R., Kunz, P., Onuoha, S., & Sormanni, P. (2024) · mAbs

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 13