Guido Uguzzoni

Exploiting conformational dynamics to modulate the function of designed proteins

Interpreting Potts and Transformer Protein Models Through the Lens of Simplified Attention

Zero‐shot mutation effect prediction on protein stability and function using RoseTTAFold

Highly optimized simulations on single- and multi-GPU systems of the 3D Ising spin glass model

Predicting multiple conformations via sequence clustering and AlphaFold2

Multistate and functional protein design using RoseTTAFold sequence space diffusion

Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks

Network Dynamics of Innovation Processes

Protein design and variant prediction using autoregressive generative models

Critical behavior of theXYmodel in complex topologies

Long-range random-field Ising model: Phase transition threshold and equivalence of short and long ranges

Evolutionary-scale prediction of atomic-level protein structure with a language model

Predicting research trends with semantic and neural networks with an application in quantum physics

Coevolutionary Analysis of Protein Subfamilies by Sequence Reweighting

Protein Design with Deep Learning

Protein contact prediction using metagenome sequence data and residual neural networks

Large-scale identification of coevolution signals across homo-oligomeric protein interfaces by direct coupling analysis

Maximum-Entropy Models of Sequenced Immune Repertoires Predict Antigen-Antibody Affinity

Reaction Networks as Systems for Resource Allocation: A Variational Principle for Their Non-Equilibrium Steady States

Efficient generative modeling of protein sequences using simple autoregressive models

The true reinforced random walk with bias