G. Tesei

A coarse-grained model for disordered and multi-domain proteins

The paper introduces a coarse-grained model for multi-domain proteins that accurately simulates conformational properties and phase separation behavior.

Design of intrinsically disordered protein variants with diverse structural properties

This paper introduces a physics-based algorithm to design intrinsically disordered proteins with specified structural properties, demonstrating high accuracy in predicting compaction and phase separation behavior.

The effect of linker conformation on performance and stability of a two-domain lytic polysaccharide monooxygenase

This study investigates how linker conformation affects the performance and stability of a two-domain lytic polysaccharide monooxygenase by analyzing wild-type and engineered variants.

Conformational ensembles of the human intrinsically disordered proteome: Bridging chain compaction with function and sequence conservation

The paper develops a model to predict conformational ensembles of human intrinsically disordered regions (IDRs) from sequence, showing correlations between chain compaction, function, localization, and sequence conservation across orthologs.

Kinetic stabilization of translation-repression condensates by a neuron-specific microexon

The paper shows that a neuron-specific microexon in CPEB4 stabilizes translation-repression condensates by competing with aggregation, enabling reversible regulation of gene expression in neurons.

FRETpredict: A Python package for FRET efficiency predictions using rotamer libraries

FRETpredict predicts FRET efficiencies from protein conformations using rotamer libraries, validated on various systems and available as open-source software.

Improved Predictions of Phase Behaviour of Intrinsically Disordered Proteins by Tuning the Interaction Range

The paper improves predictions of phase behaviour in intrinsically disordered proteins by refining interaction range and model parameters.

Improving Martini 3 for disordered and multidomain proteins

This study improves the Martini 3 force field for simulating disordered and multidomain proteins by adjusting protein-water interactions to better match experimental data.

Accurate model of liquid-liquid phase behaviour of intrinsically-disordered proteins from data-driven optimization of single-chain properties

The paper develops a coarse-grained model of intrinsically disordered proteins using data-driven optimization to accurately predict phase behaviour and self-association.

DEER-PREdict: Software for Efficient Calculation of Spin-Labeling EPR and NMR Data from Conformational Ensembles

DEER-PREdict calculates EPR and NMR data from protein conformational ensembles to validate models and interpret experiments.

Structure and dynamics of a nanodisc by integrating NMR, SAXS and SANS experiments with molecular dynamics simulations

This study integrates NMR, SAXS, SANS, and molecular dynamics simulations to characterize the structure and dynamics of two nanodiscs, revealing conformational heterogeneity and lipid ordering differences.