Pietro Sormanni

According to our database, Pietro Sormanni authored at least 11 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

IgCraft: A versatile sequence generation framework for antibody discovery and engineering.

Matthew Greenig, Haowen Zhao, Vladimir Radenkovic, Aubin Ramon, Pietro Sormanni

CoRR, March, 2025

2024

Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV.

Aubin Ramon, Montader Ali, Misha Atkinson, Alessio Saturnino, Kieran Didi, Cristina Visentin, Stefano Ricagno, Xing Xu, Matthew Greenig, Pietro Sormanni

Nat. Mac. Intell., 2024

Understanding Biology in the Age of Artificial Intelligence.

Elsa Lawrence, Adham El-Shazly, Srijit Seal, Chaitanya K. Joshi, Pietro Liò, Shantanu Singh, Andreas Bender, Pietro Sormanni, Matthew Greenig

CoRR, 2024

Improving Antibody Humanness Prediction using Patent Data.

Talip Ucar, Aubin Ramon, Dino Oglic, Rebecca Croasdale-Wood, Tom Diethe, Pietro Sormanni

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.

Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan

Nucleic Acids Res., July, 2023

Sequence-based prediction of pH-dependent protein solubility using CamSol.

Marc Oeller, Ryan Kang, Rosie Bell, Hannes Ausserwöger, Pietro Sormanni, Michele Vendruscolo

Briefings Bioinform., March, 2023

2019

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

Ajeet K. Sharma, Pietro Sormanni, Nabeel Ahmed, Prajwal Ciryam, Ulrike A. Friedrich, Günter Kramer, Edward P. O'Brien

PLoS Comput. Biol., 2019

Attentive Cross-Modal Paratope Prediction.

Andreea Deac, Petar Velickovic, Pietro Sormanni

J. Comput. Biol., 2019

2018

MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins.

Damiano Piovesan, Francesco Tabaro, Lisanna Paladin, Marco Necci, Ivan Micetic, Carlo Camilloni, Norman E. Davey, Zsuzsanna Dosztányi, Bálint Mészáros, Alexander Miguel Monzon, Gustavo D. Parisi, Éva Schád, Pietro Sormanni, Peter Tompa, Michele Vendruscolo, Wim F. Vranken, Silvio C. E. Tosatto

Nucleic Acids Res., 2018

Parapred: antibody paratope prediction using convolutional and recurrent neural networks.

Edgar Liberis, Petar Velickovic, Pietro Sormanni, Michele Vendruscolo, Pietro Liò

Bioinform., 2018

2015

MonteGrappa: An iterative Monte Carlo program to optimize biomolecular potentials in simplified models.

Guido Tiana, Fulgencia Villa, Y. Zhan, Riccardo Capelli, Cristina Paissoni, Pietro Sormanni, Edith Heard, Luca Giorgetti, R. Meloni

Comput. Phys. Commun., 2015