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ORCIDPietro Sormanni
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2020 – today
- 2024
[j8]Aubin Ramon
, Montader Ali, Misha Atkinson, Alessio Saturnino, Kieran Didi, Cristina Visentin, Stefano Ricagno, Xing Xu, Matthew Greenig, Pietro Sormanni:
Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV. Nat. Mac. Intell. 6(1): 74-91 (2024)- [c1]Talip Ucar, Aubin Ramon, Dino Oglic, Rebecca Croasdale-Wood, Tom Diethe, Pietro Sormanni:
Improving Antibody Humanness Prediction using Patent Data. ICML 2024 - [i3]Talip Ucar, Aubin Ramon, Dino Oglic, Rebecca Croasdale-Wood, Tom Diethe, Pietro Sormanni:
Improving Antibody Humanness Prediction using Patent Data. CoRR abs/2401.14442 (2024) - [i2]Elsa Lawrence, Adham El-Shazly, Srijit Seal, Chaitanya K. Joshi, Pietro Liò, Shantanu Singh, Andreas Bender, Pietro Sormanni, Matthew Greenig:
Understanding Biology in the Age of Artificial Intelligence. CoRR abs/2403.04106 (2024) - 2023
- [j7]Marc Oeller, Ryan Kang, Rosie Bell, Hannes Ausserwöger, Pietro Sormanni, Michele Vendruscolo:
Sequence-based prediction of pH-dependent protein solubility using CamSol. Briefings Bioinform. 24(2) (2023) - [j6]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:
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. 51(W1): 62-69 (2023)
2010 – 2019
- 2019
- [j5]Andreea Deac, Petar Velickovic, Pietro Sormanni:
Attentive Cross-Modal Paratope Prediction. J. Comput. Biol. 26(6): 536-545 (2019) - [j4]Ajeet K. Sharma, Pietro Sormanni, Nabeel Ahmed, Prajwal Ciryam, Ulrike A. Friedrich, Günter Kramer, Edward P. O'Brien:
A chemical kinetic basis for measuring translation initiation and elongation rates from ribosome profiling data. PLoS Comput. Biol. 15(5) (2019) - 2018
- [j3]Edgar Liberis, Petar Velickovic, Pietro Sormanni, Michele Vendruscolo, Pietro Liò:
Parapred: antibody paratope prediction using convolutional and recurrent neural networks. Bioinform. 34(17): 2944-2950 (2018) - [j2]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:
MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins. Nucleic Acids Res. 46(Database-Issue): D471-D476 (2018) - [i1]Andreea Deac, Petar Velickovic, Pietro Sormanni:
Attentive cross-modal paratope prediction. CoRR abs/1806.04398 (2018) - 2015
- [j1]Guido Tiana, Fulgencia Villa, Y. Zhan, Riccardo Capelli, Cristina Paissoni, Pietro Sormanni, Edith Heard, Luca Giorgetti, R. Meloni:
MonteGrappa: An iterative Monte Carlo program to optimize biomolecular potentials in simplified models. Comput. Phys. Commun. 186: 93-104 (2015)
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