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Status: Unchecked ×Keyword: end-to-end deep neural network ×Clear all

2 claims from 1 paper

1. Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics

   Applying and improving AlphaFold at CASP14

   Jumper, Evans, Pritzel et al. · Proteins Structure Function and Bioinformatics · 2021

   The paper describes AlphaFold's new end-to-end neural network entered in CASP14, its results in that assessment, and how it was improved to run without human intervention.

   Unchecked2 claims
   Show 2 claims

   1. UncheckedIn CASP14's assessor ranking by summed z scores (>2.0), AlphaFold scored 244.0, against 90.8 for the next best group.“In the assessors' ranking by summed z scores (>2.0), AlphaFold scored 244.0 compared to 90.8 by the next best group.”
   2. Unchecked“The predictions made by AlphaFold had a median domain GDT_TS of 92.4; this is the first time that this level of average accuracy has been achieved during CASP, especially on the more difficult Free Modeling targets, and represents a significant improvement i…