A further leap of improvement in tertiary structure prediction in CASP13 prompts new routes for future assessments

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A further leap of improvement in tertiary structure prediction in CASP13 prompts new routes for future assessments

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Investigating the intra-molecular and inter-molecular effects of post-translational modifications on intrinsically disordered protein regions and structured protein regions

Predicting protein interactions using geometric deep learning on protein surfaces

Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations

Opportunities and challenges in design and optimization of protein function

Microsecond Time-Resolved Cryo-Electron Microscopy

Prolamins' 3D structure: A new insight into protein modeling using the language of numbers and shapes

Engineering novel protein interactions with therapeutic potential using deep learning-guided surface design

From Sequence to Dynamics to Function: Computational Design of Allostery and Ligand Selectivity in G-Protein Coupled Receptors

Development of tools and methods for protein identification: From single molecules to in vivo applications

Computational drug development for membrane protein targets

Benchmarking machine-readable vectors of chemical reactions on computed activation barriers

Synergetic Support of Cartilage Homeostasis via Coupled Thermal-Hydrostatic Pressure Stimuli

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

A new age in protein design empowered by deep learning

A Geometric Transformer for Structural Biology: Development and Applications of the Protein Structure Transformer

De novo protein design by inversion of the AlphaFold structure prediction network

Generative power of a protein language model trained on multiple sequence alignments

Secondary structure of the human mitochondrial genome affects formation of deletions

Impact of phylogeny on structural contact inference from protein sequence data

De novo designed proteins: a study in engineering novel folds and functions