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TRV-2026-0211Certified recordPeer-reviewed

Accurate 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…

Science · G Space — documented gain · certified 2026-07-13 · v1 · article view · machine-readable

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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.

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Truvace Impact Record TRV-2026-0211, v1: “Accurate prediction of protein structures and interactions using a three-track neural network.” Truvace, 2026-07-13. /record/TRV-2026-0211 (accessed at citation time). sha256 e51b82b8827f8b18…

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