PLAAC: a web and command-line application to identify proteins with prion-like amino acid composition

By Alex Lancaster, Andrew Nutter-Upham, Susan Lindquist, Oliver D. King. Bioinform., 2014

512 citations recorded by the source corpus.

Subfields: Astronomy and Astrophysics, Materials Chemistry, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/1cc853feb758808713a86afe8cc067ea603b9ac3

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In Astronomy and Astrophysics

1. S. Zaccara
2. Samie R. Jaffrey

In Materials Chemistry

1. S. Zaccara
2. Samie R. Jaffrey

In Molecular Biology

1. S. Zaccara
2. Samie R. Jaffrey
3. Chuan He
4. P. He
5. Kate D. Meyer

Citations in the corpus

• RNA-Induced Conformational Switching and Clustering of G3BP Drive Stress Granule Assembly by Condensation (2020, unknown): “PLAAC: a web and command-line application to identify proteins with prionlike amino acid.”
• Phosphorylation of the FUS low‐complexity domain disrupts phase separation, aggregation, and toxicity (2017, unknown): “…S/TQ positions by substitution of serine or threonine with the negatively charged residue glutamic acid (glutamate) results in a marked decrease in the prion-like propensity as measured by the PLAAC algorithm (Fig 1A; Lancaster et al , 2014), which identifies probable prion-like protein segments.”
• A Unified Model for the Function of YTHDF Proteins in Regulating m6A-Modified mRNA (2020, methodology): “PLAAC: a web and command-line application to identify proteins with prion-like amino acid composition.”