MIT News | Massachusetts Institute of Technology
Bringing AI-driven protein-design tools to biologists everywhere
OpenProtein.AI is helping biologists stay on the cutting edge of AI with a no-code platform for protein engineering. It was founded by MIT alumni Tristan Bepler and Tim Lu.
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问题在于大多数科学家并非机器学习专家。现在，这家公司 OpenProtein.AI 通过一个无代码平台帮助科学家保持AI的前沿，这平台让他们能够访问强大的基础模型和一套用于蛋白质设计、预测蛋白质结构与功能以及训练模型的工具。该公司由Tristan Bepler博士（20届）和前麻省理工学院副教授Tim Lu（PhD '07）创立，已为各类制药和生物技术公司的研究人员配备工具，包括内部开发的蛋白质工程基础模型。OpenProtein.AI 还免费向学术界的科学家提供平台。
相比之下，OpenProtein平台配备了直观的网页界面，供生物学家上传数据并利用机器学习进行蛋白质工程工作。它包含一系列开源模型，包括OpenProtein旗舰蛋白质语言模型PoET。
News Center
Protein Engineering Method May Lead To More Exact Treatments
Biomedical engineering doctoral student Medel B. Lim Suan Jr.; Dr. Faruck Morcos, associate professor of biological sciences; and Dr. P.C. Dave Dingal, assistant professor of bioengineering, built a machine-learning model that was able to suggest...
phys.org
This protein-engineering breakthrough generates over 10M data points and...
Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to optimize a protein function, researchers modify proteins by switching out one of 20 different amino acids for another. For a...
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