104 citations · 405 across the 21 of their papers we have counts for
22 papers
Critical review of conformational B-cell epitope prediction methods
Gabriel Cia, Fabrizio Pucci, Marianne Rooman
Accurate in-silico prediction of conformational B-cell epitopes would lead to major improvements in disease diagnostics, drug design and vaccine development. A variety of computati…
AI challenges for predicting the impact of mutations on protein stability
Fabrizio Pucci, Martin Schwersensky, Marianne Rooman
Stability is a key ingredient of protein fitness and its modification through targeted mutations has applications in various fields such as protein engineering, drug design and del…
Modeling the molecular impact of SARS-CoV-2 infection on the renin-angiotensin system
Fabrizio Pucci, Philippe Bogaerts, Marianne Rooman
SARS-CoV-2 coronavirus infection is mediated by the binding of its spike protein to the angiotensin-converting enzyme 2 (ACE2), which plays a pivotal role in the renin-angiotensin…
Deciphering noise amplification and reduction in open chemical reaction networks
Fabrizio Pucci, Marianne Rooman
The impact of random fluctuations on the dynamical behavior a complex biological systems is a longstanding issue, whose understanding would shed light on the evolutionary pressure…
Insights into the relation between noise and biological complexity
Fabrizio Pucci, Marianne Rooman
Understanding under which conditions the increase of systems complexity is evolutionary advantageous, and how this trend is related to the modulation of the intrinsic noise, are fa…
A little walk from physical to biological complexity: protein folding and stability
Fabrizio Pucci, Marianne Rooman
As an example of topic where biology and physics meet, we present the issue of protein folding and stability, and the development of thermodynamics-based bioinformatics tools that…