2.了解蛋白质结构后可以干好多事 蛋白质的结构决定了它的功能 ，比如我们人体免疫系统中的 抗体蛋白 ，通过结合特定的病毒和细菌来消灭他们，它的形状就类似于钩子一般的“Y型”；再比如在软骨、韧带、皮肤间广泛存在的 胶原蛋白 ，其结构便如绳索 ...

Jul 27, 2021 · AlphaFold 2 Explained in Detail by Arxiv Insights (30 min). AlphaFold is DeepMinds latest breakthrough addressing the protein folding problem. Using an advanced Deep Learning architecture that achieves end-to-end learning of protein structures, this work is arguably one of the most influential papers of this decade and is likely to spark ...

Nov 30, 2020 · Proteins spontaneously fold themselves after they are made according to physical laws, and their 3d shape is essential to their function. Currently, the genetic code for 200 million proteins is known, and tens of millions are being discovered every year.

Dec 1, 2020 · DeepMind solves a 50-year old problem in Protein Folding Prediction. AlphaFold 2 improves over DeepMind's 2018 AlphaFold system with a new architecture and massively outperforms all competition. In this Video, we take a look at how AlphaFold 1 works and what we can gather about AlphaFold 2 from the little information that's out there.

Dec 3, 2020 · 14 votes, 10 comments. I am curious how AlphaFold 2 will impact distributed folding projects like F@H . Does AF 2 make them obsolete?

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Nov 30, 2020 · 2.3 导论. 从蛋白质序列预测三维结构的计算方法沿着两条互补的路径进行，这两条路径要不关注物理相互作用(physical interactions) 要不关注进化历史(evolutionary history)。 物理相互作用将对分子驱动力的理解融入到蛋白质物理学的热力学和动力学模拟中。

2020年的 CASP 竞赛中，Deepmind 团队的 AlphaFold 2 得到了接近90分的成绩。《自然》、《麻省理工技术评…

May 8, 2024 · So far, millions of researchers globally have used AlphaFold 2 to make discoveries in areas including malaria vaccines, cancer treatments and enzyme design. AlphaFold has been cited more than 20,000 times and its scientific impact recognized through many prizes, most recently the Breakthrough Prize in Life Sciences.

Jan 29, 2022 · I have used Alphafold to determine the structures for a protein of my interest. While the confidence score is low for the over all prediction, I am curious to know if the secondary structures are accurate.