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Broadly applicable and accurate protein design by integrating structure prediction networks and diffusion generative models

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Robust deep learning based protein sequence design using ProteinMPNN

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Robust deep learning–based protein sequence design using ProteinMPNN

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Trends in peptide drug discovery

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Computational approaches streamlining drug discovery

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Large language models generate functional protein sequences across diverse families

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Macrocyclic Peptides as Drug Candidates: Recent Progress and Remaining Challenges

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Advances in oral peptide therapeutics

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De novo protein design by deep network hallucination

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Scaffolding protein functional sites using deep learning

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Massively parallel de novo protein design for targeted therapeutics

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First-in-Human Testing of a Wirelessly Controlled Drug Delivery Microchip

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Enhanced Sampling Methods for Molecular Dynamics Simulations [Article v1.0]

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Weighted Ensemble Simulation: Review of Methodology, Applications, and Software

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Using AlphaFold to predict the impact of single mutations on protein stability and function

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Protein-peptide docking: opportunities and challenges

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State-of-the-Art Estimation of Protein Model Accuracy Using AlphaFold

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Advances in therapeutic peptides targeting G protein-coupled receptors

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Accurate modeling of peptide-MHC structures with AlphaFold

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