Article

Single-sequence protein structure prediction using supervised transformer protein language models

2022-01-18

Abstract excerpt

It remains challenging for single-sequence protein structure prediction with AlphaFold2 and other deep learning methods. In this work, we introduce trRosettaX-Single, a novel algorithm for singlesequence protein structure prediction. It is built on sequence embedding from s-ESM-1b, a supervised transformer protein language model optimized from the pre-trained model ESM-1b. The sequence embedding is fed into a mult...

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Literature Corpus work: ad57e90a-397e-520e-be90-a0fac09f0d35
DOI: 10.1101/2022.01.15.476476

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