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Antibody-antigen complex prediction results from all-atom benchmark, FoldBench: (1) AlphaFold3 performs best with a success rate of 47.9% while other models have a failure rate exceeding 60%. (2) Increased sampling improves AF3 performance by 2-3% but not for other models.

How volatile isoprenoids improve plant thermotolerance: Trends in Plant Science cell.com/trends/plant-s…

Improving Protein Sequence Design through Designability Preference Optimization 🚀 New preprint from David Baker!🚀 １．This work introduces ResiDPO, a novel training strategy for protein sequence design (PSD) that directly optimizes for designability—the likelihood that a

Online now: Can protein expression be ‘solved’? dlvr.it/TL83yp

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Benchmark for Antibody Binding Affinity Maturation and Design 1. AbBiBench introduces a new framework for evaluating antibody binding affinity maturation and design, addressing gaps in previous methods that relied on isolated antibodies or similarity to natural variants. 2.

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An improved model for prediction of de novo designed proteins with diverse geometries １．A new approach to predicting de novo designed proteins with diverse geometries is presented, using a fine-tuned version of AlphaFold2 (AF2) to improve accuracy. ２．Current deep

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