Sergio Forcelloni

The paper compares CRISPRi screens in human stem cells and their derivatives to show cell type-dependent roles of translation-coupled quality control factors.

This study analyzes the temporal evolution of SARS-CoV-2 codon usage across 134,905 genomes, finding divergence in genes N and S with more optimized codon usage for human hosts.

The paper identifies conserved epitopes in SARS-CoV-2 spike and nucleocapsid proteins that may inform the development of long-lasting vaccines.

The paper examines the relationship between codon usage patterns and protein-protein interaction (PPI) network features in bacterial genomes, showing a significant correlation between codon bias and PPI topology.

This study analyzes codon usage and evolutionary rates of 2019-nCoV genes compared to other coronaviruses, finding differences in mutational bias and selection pressures across gene types.

The paper analyzes Low Complexity Regions in Plasmodium proteomes, finding they are under lower selective pressure and show non-neutral codon bias compared to host proteins.

The paper classifies human proteins into three categories based on disorder and shows IDPs and IDPRs have distinct functional roles and disease associations.

The paper classifies human proteins into three disorder variants and validates their structural and physical properties.

The paper introduces the Codon Frustration Index (CFI) to measure mRNA stability and translation efficiency, finding it correlates with codon usage and functional gene classes.

This study quantifies evolutionary pressures on human genes based on protein structure, finding that intrinsically disordered proteins experience distinct mutational and selective pressures.

The paper introduces a new classification of human intrinsically disordered proteins based on sequence parameters, distinguishing five variants and highlighting functional and compositional differences between PDRs and IDPs.