摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布关于马学习-人工智能的新报告。根据对NewsRx记者从中华人民共和国合肥进行的新闻报道，研究称，设计蛋白质结合蛋白对于药物的发现至关重要。由于蛋白质与配体相互作用的复杂性，以及蛋白质与配体相互作用的灵活性，这些蛋白质的设计具有挑战性配体分子和氨基酸侧链，以及序列结构依赖性。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning - Artificial Intelligence. Accordingto news reporting from Hefei , People’s Republic of China, by NewsRx journalists, research stated,“Designing protein-binding proteins is critical for drug discovery. However, artificial-in telligence-baseddesign of such proteins is challenging due to the complexity of protein-ligand interactions, the flexibility ofligand molecules and amino acid side chains, and sequence-structure dependencies.”
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