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www.blopig.com
| | moalquraishi.wordpress.com

The past week was a momentous occasion for protein structure prediction, structural biology at large, and in due time, may prove to be so for the whole of life sciences. CASP14, the conference for the biennial competition for the prediction of protein structure from sequence, took place virtually over multiple remote working platforms. DeepMind, Google's...
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| | bair.berkeley.edu

[AI summary] This article explores the application of natural language processing (NLP) techniques, particularly self-supervised learning, to the study of proteins. It discusses the challenges of protein structure prediction, the potential of using large unlabeled protein sequence datasets, and introduces TAPE, a benchmarking framework for evaluating protein representations. The article highlights the importance of understanding protein structure and function, the limitations of traditional methods, and the promise of leveraging self-supervised learning to improve protein prediction tasks. It also touches on the practical implications of these advancements, such as protein engineering and drug discovery.
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| | ischoolonline.berkeley.edu

Whether you know it or not, you've probably been taking advantage of the benefits of machine learning for years. Most of us would find it hard to go a full day without using at least one app or web service driven by machine learning. But what is machine learning?
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| | www.stuckinabook.com

Welcome to the 1925 Club! All week, Karen and I are asking people to read and review books published in 1925 - whatever format or language. Together, we'll build up a picture of the yea...
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