36 citations · 43 across the 6 of their papers we have counts for
7 papers
How good Neural Networks interpretation methods really are? A quantitative benchmark
Antoine Passemiers, Pietro Folco, Daniele Raimondi +3
Saliency Maps (SMs) have been extensively used to interpret deep learning models decision by highlighting the features deemed relevant by the model. They are used on highly nonline…
DNA energy constraints shape biological evolutionary trajectories
Piero Fariselli, Cristian Taccioli, Luca Pagani +1
Most living systems rely on double-stranded DNA (dsDNA) to store their genetic information and perpetuate themselves. This biological information has been considered the main targe…
A natural upper bound to the accuracy of predicting protein stability changes upon mutations
Ludovica Montanucci, Pier Luigi Martelli, Nir Ben-Tal +1
Accurate prediction of protein stability changes upon single-site variations (DDG) is important for protein design, as well as our understanding of the mechanism of genetic disease…
Network measures for protein folding state discrimination
Giulia Menichetti, Piero Fariselli, Daniel Remondini
Proteins fold using a two-state or multi-state kinetic mechanisms, but up to now there isn't a first-principle model to explain this different behaviour. We exploit the network pro…
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…