5 citations · 12 across the 6 of their papers we have counts for
6 papers
JanusDDG: A Thermodynamics-Compliant Model for Sequence-Based Protein Stability via Two-Fronts Multi-Head Attention
Guido Barducci, Ivan Rossi, Francesco Codicè +6
Understanding how residue variations affect protein stability is crucial for designing functional proteins and deciphering the molecular mechanisms underlying disease-related mutat…
Mass Balance Approximation of Unfolding Improves Potential-Like Methods for Protein Stability Predictions
Ivan Rossi, Guido Barducci, Tiziana Sanavia +3
The prediction of protein stability changes following single-point mutations plays a pivotal role in computational biology, particularly in areas like drug discovery, enzyme reengi…
Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis
Ivan Rossi, Flavio Sartori, Cesare Rollo +3
Survival analysis often relies on Cox models, assuming both linearity and proportional hazards (PH). This study evaluates machine and deep learning methods that relax these constra…
SurvHive: a package to consistently access multiple survival-analysis packages
Giovanni Birolo, Ivan Rossi, Flavio Sartori +3
Survival analysis, a foundational tool for modeling time-to-event data, has seen growing integration with machine learning (ML) approaches to handle the complexities of censored da…
A three-state prediction of single point mutations on protein stability changes
Emidio Capriotti, Piero Fariselli, Ivan Rossi +1
A basic question of protein structural studies is to which extent mutations affect the stability. This question may be addressed starting from sequence and/or from structure. In pr…
In silico evidence of the relationship between miRNAs and siRNAs
Ludovica Montanucci, Piero Fariselli, Pier Luigi Martelli +2
Both short interfering RNAs (siRNAs) and microRNAs (miRNAs) mediate the repression of specific sequences of mRNA through the RNA interference pathway. In the last years several exp…