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1,167 claims from 736 papers are on the record. 43 have been checked so far; the other 1,124 have no check with a result yet.

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Status: Unchecked ×Keyword: protein engineering ×Clear all

5 claims from 4 papers

1. Biochemistry, Genetics and Molecular Biology › Machine Learning in Bioinformatics

   BERTology Meets Biology: Interpreting Attention in Protein Language Models

   Vig, Madani, Varshney, Xiong, Socher and Rajani · bioRxiv (Cold Spring Harbor Laboratory) · 2020

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   1. Unchecked“We show that attention: (1) captures the folding structure of proteins, connecting amino acids that are far apart in the underlying sequence, but spatially close in the three-dimensional structure, (2) targets binding sites, a key functional component of pro…

2. Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics

   Rapid in silico directed evolution by a protein language model with EVOLVEpro

   Jiang, Yan, Di Bernardo et al. · Science · 2024

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   1. Unchecked“We demonstrate its effectiveness across six proteins in RNA production, genome editing, and antibody binding applications.”
   2. Unchecked“These results highlight the advantages of few-shot active learning with minimal experimental data over zero-shot predictions.”

3. Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics

   Biophysics-based protein language models for protein engineering

   Gelman, Johnson, Freschlin et al. · Nature Methods · 2025

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   1. Unchecked“We demonstrate METL’s ability to design functional green fluorescent protein variants when trained on only 64 examples, showcasing the potential of biophysics-based protein language models for protein engineering.”

4. Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics

   ProGen: Language Modeling for Protein Generation

   Madani, Bryan, Naik et al. · arXiv (Cornell University) · 2020

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   1. Unchecked“This provides ProGen with an unprecedented range of evolutionary sequence diversity and allows it to generate with fine-grained control as demonstrated by metrics based on primary sequence similarity, secondary structure accuracy, and conformational energy.”