Author

Salvatore Candido

ORCID 0000-0002-5847-0617Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 4 Research Focus:protein design· 3 Assay:protein sequence· 3 Research Focus:protein structure prediction· 3 Assay:protein structure· 2 Organism:E. coli· 1 Approach:large language model· 1 Organism:multiple species· 1

Frequent Co-Authors

Alexander W. RivesiD· 4 shared Roshan RaoiD· 4 shared Tom SercuiD· 4 shared Zeming LiniD· 4 shared Halil AkiniD· 3 shared Robert VerkuiliD· 3 shared Alexander DerryiD· 2 shared Allan dos Santos CostaiD· 2 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersSynthetic Biology

Alexander W. RivesORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Language Modeling Materializes a World Model of Protein Biology

Salvatore Candido, Thomas Hayes, Alexander Derry, Roshan Rao, Zeming Lin, Robert Verkuil, Bryan Z. Wu, Jin Sub Lee, Elise S. Bruguera, Jehan A. Keval, Mykhailo Kopylov, John E. Pak, Wesley C. H. Wu, Neil Thomas, Samson J. Mataraso, , Alexander W. Rives

The paper uses language modeling to create a comprehensive representation of protein biology, enabling structure prediction and discovery of high-affinity protein interactions.

bioRxiv · Jun 4, 2026 · PreprintBioinformatics

Simulating 500 million years of evolution with a language model

Thomas Hayes, Roshan Rao, Halil Akin, Nicholas Sofroniew, Deniz Oktay, Zeming Lin, Robert Verkuil, Vincent Q. Tran, Jonathan Deaton, Marius Wiggert, Rohil Badkundri, Irhum Shafkat, Jun Gong, Alexander Derry, Raul S. Molina, , Alexander W. Rives

ESM3, a 98-billion-parameter multimodal protein language model tokenized across sequence, structure, and function, designs a bright green fluorescent protein at 58% sequence identity to known fluorescent proteins.

Science · Jan 16, 2025Peer-reviewedSynthetic Biology✦ In-depth digest

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

Zeming Lin, Halil Akin, Roshan Rao, Brian Hie, Zhongkai Zhu, Wenting Lu, Nikita Smetanin, Robert Verkuil, Ori Kabeli, Yaniv Shmueli, Allan dos Santos Costa, Maryam Fazel-Zarandi, Tom Sercu, Salvatore Candido, Alexander W. Rives

Protein language models scaled to 15B parameters predict atomic-resolution structures from sequence up to 60x faster than the state of the art, producing over 617 million metagenomic structures.

Science · Mar 16, 2023Peer-reviewedSynthetic Biology

A high-level programming language for generative protein design

Brian Hie, Salvatore Candido, Zeming Lin, Ori Kabeli, Roshan Rao, Nikita Smetanin, Tom Sercu, Alexander W. Rives

A modular high-level programming language paired with an energy-based protein language model generates de novo all-atom protein sequences and structures satisfying user-specified geometric, secondary structure, symmetry, and multimerization constraints.

bioRxiv · Dec 21, 2022 · PreprintSynthetic Biology