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Prepared example · AlphaFold · 2021
Highly accurate protein structure prediction with AlphaFold
An editorial example based on the published abstract ↗. Live summaries may differ.
Summary
AlphaFold predicts a protein’s three-dimensional structure from its amino acid sequence, addressing the gap between known sequences and experimentally determined structures.
Methods
A neural network incorporates knowledge of protein structure and information from multiple sequence alignments. The authors evaluated the redesigned model in CASP14.
Key findings
The authors report accuracy comparable to experimental structures for most CASP14 cases and better performance than competing methods in that assessment.
Limitations
The abstract does not give a detailed account of failure cases. Read the full paper before judging whether the method fits your research question.
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Summaries are generated from the title and abstract on record at Crossref, so they describe what the paper claims rather than whether it is right. What ResearcherFlow does →