aceAccurate prediction of protein structures and interactions using a three-track neural network
Deep learning takes on protein folding In 1972, Anfinsen won a Nobel prize for demonstrating a connection between a protein’s amino acid sequence and its three-dimensional structure. Since 1994, scientists have competed in the biannual Critical Assessment of Structure Prediction (CASP) protein-folding challenge. Deep learning methods took center stage at CASP14, with DeepMind’s Alphafold2 achieving remarkable accuracy. Baek et al . explored network architectures based on the DeepMind framework. They used a three…
A three-track neural network that jointly processes sequence, distance, and coordinate information enables accurate prediction of protein structures and protein-protein complexes, approaching DeepMind's accuracy.
Evidence
- Peer-reviewedScience2021-08-20
- Peer-reviewedAnnual Review of Biophysics2023-01-10
- Peer-reviewedActa Crystallographica Section D Structural Biology2021-07-29
- Peer-reviewedMedComm – Future Medicine2024-09-01
- Peer-reviewedQuarterly Reviews of Biophysics2025-01-01
How should this claim be treated?
Truvace Impact Record TRV-2026-0211, v5: “Accurate prediction of protein structures and interactions using a three-track neural network.” Truvace, 2026-07-19. /record/TRV-2026-0211 (accessed at citation time). sha256 ad541760ddb464f1…
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