| Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset C Pancotti, S Benevenuta, G Birolo, V Alberini, V Repetto, T Sanavia, ... Briefings in Bioinformatics 23 (2), bbab555, 2022 | 104 | 2022 |
| An antisymmetric neural network to predict free energy changes in protein variants S Benevenuta, C Pancotti, P Fariselli, G Birolo, T Sanavia Journal of Physics D: Applied Physics 54 (24), 245403, 2021 | 55 | 2021 |
| DDGun: an untrained predictor of protein stability changes upon amino acid variants L Montanucci, E Capriotti, G Birolo, S Benevenuta, C Pancotti, D Lal, ... Nucleic Acids Research 50 (W1), W222-W227, 2022 | 46 | 2022 |
| A deep-learning sequence-based method to predict protein stability changes upon genetic variations C Pancotti, S Benevenuta, V Repetto, G Birolo, E Capriotti, T Sanavia, ... Genes 12 (6), 911, 2021 | 37 | 2021 |
| Protein stability perturbation contributes to the loss of function in haploinsufficient genes G Birolo, S Benevenuta, P Fariselli, E Capriotti, E Giorgio, T Sanavia Frontiers in Molecular Biosciences 8, 620793, 2021 | 31 | 2021 |
| On the upper bounds of the real-valued predictions S Benevenuta, P Fariselli Bioinformatics and Biology Insights 13, 1177932219871263, 2019 | 21 | 2019 |
| Challenges in predicting stabilizing variations: An exploration S Benevenuta, G Birolo, T Sanavia, E Capriotti, P Fariselli Frontiers in Molecular Biosciences 9, 1075570, 2023 | 15 | 2023 |
| Calibrating variant-scoring methods for clinical decision making S Benevenuta, E Capriotti, P Fariselli Bioinformatics 36 (24), 5709-5711, 2020 | 12 | 2020 |
| Resources and tools for rare disease variant interpretation L Licata, A Via, P Turina, G Babbi, S Benevenuta, C Carta, R Casadio, ... Frontiers in Molecular Biosciences 10, 1169109, 2023 | 10 | 2023 |
| Unravelling the instability of mutational signatures extraction via archetypal analysis C Pancotti, C Rollo, G Birolo, S Benevenuta, P Fariselli, T Sanavia Frontiers in Genetics 13, 1049501, 2023 | 5 | 2023 |
| Improving the prediction of cardiovascular risk with machine-learning and dna methylation data G Cugliari, S Benevenuta, S Guarrera, C Sacerdote, S Panico, V Krogh, ... 2019 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2019 | 5 | 2019 |
| OPEN ACCESS EDITED BY B Cellini, Z Qin, A Mozzarelli, P Turina, L Licata, A Via, P Turina, G Babbi, ... Computational and Experimental Protein Variant Interpretation in the Era of …, 2024 | | 2024 |
| From genotype to phenotype: using machine learning approaches to predict the effects of genetic variants S Benevenuta Università degli Studi di Torino, 2023 | | 2023 |
| ACDC-NN: a deep learning predictor of protein stability change upon mutation. S Benevenuta, C Pancotti, P Fariselli, G Birolo, T Sanavia -, 2021 | | 2021 |
| Supplementary Materials for “Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset” C Pancotti, S Benevenuta, G Birolo, V Repetto, V Alberini, T Sanavia, ... | | |
