AlphaFold2: A Role for Disordered Protein/Region Prediction?
Carter J. Wilson; Wing‐Yiu Choy; Mikko Karttunen · 2022 · International Journal of Molecular Sciences
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
The development of AlphaFold2 marked a paradigm-shift in the structural biology community. Herein, we assess the ability of AlphaFold2 to predict disordered regions against traditional sequence-based disorder predictors. We find that AlphaFold2 performs well at discriminating disordered regions, but also note that the disorder predictor one constructs from an AlphaFold2 structure determines accuracy. In particular, a naïve, but non-trivial assumption that residues assigned to helices, strands, and H-bond stabilized turns are likely ordered and all other residues are disordered results in a dra
Abstract by Carter J. Wilson; Wing‐Yiu Choy; Mikko Karttunen, International Journal of Molecular Sciences (2022) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3390/ijms23094591
