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Women faculty discuss informal advising, 'underappreciated' service to Brown community

Women faculty discuss informal advising, 'underappreciated' service to Brown community
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Brown researchers leverage AI to predict protein conformations

Brown researchers leverage AI to predict protein conformations
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Brenda-rubenstein , George-lisi , Protein-data-bank , Monteiro-da-silva ,

New technique for predicting protein dynamics may prove big breakthrough for drug discovery

New technique for predicting protein dynamics may prove big breakthrough for drug discovery
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Brenda-rubenstein , Nature-communications-on , Nature-communications , Gabriel-monteiro ,

New High-Throughput, AI-Based, Protein Prediction Method May Advance Drug Discovery

New High-Throughput, AI-Based, Protein Prediction Method May Advance Drug Discovery
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Brenda-rubenstein , Nature-communications , Brown-university , Gabriel-monteiro ,

Brown University's STEM Day Dives Deep Into Science for Local High Schoolers

Brown University's campus buzzed with excitement as hundreds of high school students from five Rhode Island high schools came together for the annual STEM Day this past Tuesday, March 26. This event, …

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Protein Dynamics Forecasting Technique Could Revolutionize Drug Discovery

Protein Dynamics Forecasting Technique Could Revolutionize Drug Discovery
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Brenda-rubenstein , George-lisi , Jennifer-cui , Nature-communications-on , Blavatnik-family-foundation , Brown-university , Nature-communications , Gabriel-monteiro , Eight-blavatnik-family-fellows ,

New technique for predicting protein dynamics may prove big breakthrough for drug discovery

New technique for predicting protein dynamics may prove big breakthrough for drug discovery
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Brenda-rubenstein , Nature-communications-on , Brown-university , Nature-communications , Gabriel-monteiro ,

New technique for predicting protein dynamics

<p>Understanding the structure of proteins is critical for demystifying their functions and developing drugs that target them. To that end, a team of researchers at Brown University has developed a way of using machine learning to rapidly predict multiple protein configurations to advance understanding of protein dynamics and functions. A&nbsp;<a href="https://www.nature.com/articles/s41467-024-46715-9">study</a>&nbsp;describing the approach was published in Nature Communications on Wednesday, March 27. The authors say the technique is accurate, fast, cost-effective and has the potential to revolutionize drug discovery by uncovering many more targets for new treatments.</p>


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Women, non-binary faculty members discuss experiences in academia

Women, non-binary faculty members discuss experiences in academia
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