Self-supervised machine learning methods for protein design improve sampling, bu t not the identification of high-fitness variants
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – According to news reporting based on a preprint abstract, our journalists obtained thefollowing quote sourced from bi orxiv.org:“Machine learning (ML) is changing the world of computational protein design, wi th data-drivenmethods surpassing biophysical-based methods in experimental succ ess rates.
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