The transformative power of transformers in protein structure prediction.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 37523536.
- Also identified by DOI 10.1073/pnas.2303499120 and PMC identifier 10410766.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Transformer neural networks have revolutionized structural biology with the ability to predict protein structures at unprecedented high accuracy. Here, we report the predictive modeling performance of the state-of-the-art protein structure prediction methods built on transformers for 69 protein targets from the recently concluded 15th Critical Assessment of Structure Prediction (CASP15) challenge. Our study shows the power of transformers in protein structure modeling and highlights future areas of improvement.
Medical subject headings
- Electric Power Supplies
- Neural Networks, Computer