In CASP14, AlphaFold structures were vastly more accurate than competing methods. AlphaFold structures had a median backbone accuracy of 0.96 Å r.m.s.d. 95 (Cα root-mean-square deviation at 95% residue coverage) (95% confidence interval = 0.85–1.16 Å) whereas the next best performing method had a median backbone accuracy of 2.8 Å r.m.s.d.

2020年12月1日 · 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.

2021年7月27日 · 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 ...

2024年5月8日 · 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.

Tried using alphafold 2 multimer for some preliminary structures used in graphical illustrations and it did really well on each monomer but the quaternary structure was consistently incorrect. Many computer scientists and scientists without a biological background will preach that alphafold displaces experimental structure acquisition and this ...

2022年1月29日 · r/alphafold: A subreddit to discuss AlphaFold and protein/peptide research. Press J to jump to the feed. Press question mark to learn the rest of the keyboard shortcuts

2020年11月30日 · I could see Alphafold 2 or more likely one of its successors being used in combination with any of a myriad of other computational biology or other ML tools to accelerate drug discovery and reduce costs overall. But, it's unlikely that we will look back 10 years from now and mark this specific advancement as having totally changed the game.

score was around 2.5 when considering all targets, and rose to 3.8 in the hardest ones. If this was an intelli-gence test, AlphaFold 2 would score an intelligence quotient (IQ) above 160. If the relative comparison is astounding, the actual performance is just as impressive. I …

AlphaFold paper2. We consider a prediction highly accurate when—in addition to a good backbone prediction—the side chains are frequently correctly oriented. On this basis, pLDDT > 90 is taken as the high accuracy cut-off, above which AlphaFold χ 1 rotamers are 80% correct for a recent PDB a b pLDDT ∈ [90–100] pLDDT ∈ [70–90)

AlphaFold is helping researchers build models, but it can’t yet simply find all protein states. F@H has always focused on molecular dynamics, while Rosetta@Home (a BOINC project) looked for protein structures and has been more supplanted by AlphaFold. F@H also open sources all its results and was probably used to train AlphaFold.