A saturation mutagenesis approach to understanding PTEN lipid phosphatase activity and genotype-phenotypes relationships

By Taylor L. Mighell, Sara Evans-Dutson, Brian J. O'Roak. 2018

203 citations recorded by the source corpus.

Subfields: Molecular Biology, Plant Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Debora Marks
2. Christopher Sander
3. Adam J. Riesselman
4. Jung-Eun Shin
5. A. Kruse
6. Conor McMahon
7. A. Manglik
8. Elana Simon

In Plant Science

1. Christopher Sander
2. Debora Marks

Citations in the corpus

• Accelerating Protein Design Using Autoregressive Generative Models (2019, background): “The model is able to capture the effects of single amino acid deletions on PTEN phosphatase ( (cid:26) =0.67, AUC=0.83, N=340; Figure 2b; Mighell et al., 2018), multiple amino acid insertions and deletions in imidazoleglycerol-phosphate (IGP) dehydratase ( (cid:26) =0.68, AUC=0.92, N=6102; Figure…”
• Using deep mutational scanning to benchmark variant effect predictors and identify disease mutations (2020, unknown): “Several groups provide both their full fitness scores and a filter for high-quality results (Starita et al , 2015; Mighell et al , 2018).”
• Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning (2020, result): “We compared the performance of EVE to a number high-throughput experiments [7, 28, 29, 30, 31, 32, 33, 34, 35, 36], which”