Zeming Lin
Credited first author of ESM-2/ESMFold (Science, 2023).
Description from Selekoa’s record. Sources: Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences · Evolutionary-scale prediction of atomic-level protein structure with a language model (PubMed record)
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- Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequencesZeming Lin is credited as a co-author of Rives et al., ‘Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences’ (PNAS, 2021).2021-04-05 · publication · Stated in source · Supported Inspect claim & evidence ↗Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences: document page →
- Evolutionary-scale prediction of atomic-level protein structure with a language modelZeming Lin is credited as the lead-listed author of ‘Evolutionary-scale prediction of atomic-level protein structure with a language model’ (Science, 2023), according to its PubMed record.2023-03-16 · publication · Stated in source · Supported Rests on reportingInspect claim & evidence ↗Evolutionary-scale prediction of atomic-level protein structure with a language model: document page →
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