Nobel Prize in Chemistry 2023 | For Researchers

On October 4th, the Nobel Prize in Chemistry 2024 was awarded to David Baker “for computational protein design” and to Demis Hassabis and John M. Jumper “for protein structure prediction”. *

This year’s Nobel Laureates didn’t achieve their breakthroughs overnight. Below you can read, share, and download a selection of their research that’s published across Springer Nature’s journals and books. Read the story of this year’s Laureates in Chemistry.

*The Nobel Prize in Chemistry 2024 - NobelPrize.org .

Publications by David Baker

Articles

Immobilizing affinity proteins to nitrocellulose: a toolbox for paper-based assay developers. Published in: Analytical and Bioanalytical Chemistry	Fully automated high-quality NMR structure determination of small 2H-enriched proteins. Published in: Journal of Structural and Functional Genomics	De novo protein structure determination using sparse NMR data. Published in: Journal of Biomolecular NMR
De novo protein structure generation from incomplete chemical shift assignments. Published in: Journal of Biomolecular NMR	Improving 3D structure prediction from chemical shift data. Published in: Journal of Biomolecular NMR	Improved chemical shift based fragment selection for CS-Rosetta using Rosetta3 fragment picker. Published in: Journal of Biomolecular NMR
Catalytic efficiencies of directly evolved phosphotriesterase variants with structurally different organophosphorus compounds in vitro. Published in: Archives of Toxicology	Fully automated high-quality NMR structure determination of small 2H-enriched proteins. Published in: Journal of Structural and Functional Genomics	phenix.mr_rosetta: molecular replacement and model rebuilding with Phenix and Rosetta. Published in: Journal of Structural and Functional Genomics

more

Predicting protein structures with a multiplayer online game. Published in: Nature	Accurate prediction of protein–nucleic acid complexes using RoseTTAFoldNA. Published in: Nature Methods	The trRosetta server for fast and accurate protein structure prediction. Published in: Nature Protocols
Deep learning and protein structure modeling. Published in: Nature Methods	The coming of age of de novo protein design. Published in: Nature	Kemp elimination catalysts by computational enzyme design. Published in: Nature
Computational design of ligand-binding proteins with high affinity and selectivity. Published in: Nature	Evolution of a designed protein assembly encapsulating its own RNA genome. Published in: Nature	De novo design of bioactive protein switches. Published in: Nature
Functional rapidly folding proteins from simplified amino acid sequences. Published in: Nature	Exploitation of binding energy for catalysis and design. Published in: Nature Structural Biology	Exploitation of binding energy for catalysis and design. Published in: Nature
Accurate design of co-assembling multi-component protein nanomaterials. Published in: Nature	Accurate de novo design of hyperstable constrained peptides. Published in: Nature	Design of a hyperstable 60-subunit protein icosahedron. Published in: Nature
De novo design of a four-fold symmetric TIM-barrel protein with atomic-level accuracy. Published in: Nature Chemical Biology	Computational design of self-assembling cyclic protein homo-oligomers. Published in: Nature Chemistry	De novo design of a non-local β-sheet protein with high stability and accuracy. Published in: Nature Structural & Molecular Biology
De novo design of potent and selective mimics of IL-2 and IL-15. Published in: Nature	Receptor subtype discrimination using extensive shape complementary designed interfaces. Published in: Nature Structural & Molecular Biology	Computational design of transmembrane pores. Published in: Nature
De novo protein design by deep network hallucination. Published in: Nature	Role of backbone strain in de novo design of complex α/β protein structures. Published in: Nature Communications	Design of protein-binding proteins from the target structure alone. Published in: Nature
Accurate computational design of three-dimensional protein crystals. Published in: Nature Materials	Improving de novo protein binder design with deep learning. Published in: Nature Communications	Multistate and functional protein design using RoseTTAFold sequence space diffusion. Published in: Nature Biotechnology
Protein interactions in human pathogens revealed through deep learning. Published in: Nature Microbiology	De novo design of pH-responsive self-assembling helical protein filaments. Published in: Nature Nanotechnology

Book chapters

Structural Genomics of Pathogenic Protozoa: an Overview. In: Methods in Molecular Biology

Redesigning the Specificity of Protein–DNA Interactions with Rosetta. In: Methods in Molecular Biology

Template Scoring Methods for Protein Torsion Angle Prediction. In: Biomedical Engineering Systems and Technologies

Publications by Demis Hassabis

Articles

Improved protein structure prediction using potentials from deep learning. Published in: Nature	Highly accurate protein structure prediction with AlphaFold. Published in: Nature	Highly accurate protein structure prediction for the human proteome. Published in: Nature
Mastering the game of Go with deep neural networks and tree search. Published in: Nature	Immobilizing affinity proteins to nitrocellulose: a toolbox for paper-based assay developers. Published in: Analytical and Bioanalytical Chemistry	Vector-based navigation using grid-like representations in artificial agents. Published in: Nature
Catalytic efficiencies of directly evolved phosphotriesterase variants with structurally different organophosphorus compounds in vitro. Published in: Archives of Toxicology	Accurate de novo design of heterochiral protein–protein interactions. Published in: Cell Research	Retrieval-Based Model Accounts for Striking Profile of Episodic Memory and Generalization. Published in: Scientific Reports
De novo protein structure determination using sparse NMR data. Published in: Journal of Biomolecular NMR	Improving 3D structure prediction from chemical shift data. Published in: Journal of Biomolecular NMR	Protein structure predictions to atomic accuracy with AlphaFold. Published in: Nature Methods

Publications by John M. Jumper

Articles

Effective gene expression prediction from sequence by integrating long-range interactions. Published in: Nature Methods	Structural basis of template strand deoxyuridine promoter recognition by a viral RNA polymerase. Published in: Nature Communications	Structure of the PAPP-ABP5 complex reveals mechanism of substrate recognition. Published in: Nature Communications
Discovery of archaeal fusexins homologous to eukaryotic HAP2/GCS1 gamete fusion proteins. Published in: Nature Communications	Structure of the decoy module of human glycoprotein 2 and uromodulin and its interaction with bacterial adhesin FimH. Published in: Nature Structural & Molecular Biology	Accurate structure prediction of biomolecular interactions with AlphaFold 3. Published in: Nature
Highly accurate protein structure prediction with AlphaFold. Published in: Nature	Protein structure predictions to atomic accuracy with AlphaFold. Published in: Nature	Highly accurate protein structure prediction for the human proteome. Published in: Nature

2024 Nobel Prize in Chemistry

Publications by David Baker

Articles

Book chapters

Publications by Demis Hassabis

Articles

Publications by John M. Jumper

Articles

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