activity
20082026
most citedCritical review of conformational B-cell epitope prediction methods

102 citations · 235 across the 19 of their papers we have counts for

collaborators

21 papers

q-bio.BM2026

Engineering T7 RNA Polymerase for High-Purity In Vitro Transcription

Pauline Hermans, Youlia Serikova, José Castillo +2

In vitro transcription using bacteriophage T7 RNA polymerase (T7 RNAP) is the gold-standard platform for RNA production in both research and therapeutic applications. Despite its h…

q-bio.BM2023★ 102 cited

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…

q-bio.MN2021

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…

q-bio.MN2020

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…

q-bio.MN2019

Shedding light on the dark matter of the biomolecular structural universe: Progress in RNA 3D structure prediction

Fabrizio Pucci, Alexander Schug

Structured RNA plays many functionally relevant roles in molecular life. Structural information, while required to understand the functional cycles in detail, is challenging to gat…

q-bio.MN2018

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…