Author
University of California, Berkeley
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
4 papers
Recent·Most cited
Marissa A. Zintel, Claire J. LeBlanc, Sanjana R. Kotha…·Max V. Staller
The paper designs functional transcriptional activation domains using machine learning and experimental validation, finding that over 90% of predicted sequences work in yeast.
Claire J. LeBlanc, Jordan Stefani, Melvin Soriano…·Max Valentín Staller
The paper shows that function can be conserved in transcriptional activation domains without sequence conservation through evolutionary turnover of key residues.
Sanjana R. Kotha, Max Valentín Staller
The paper predicts acidic transcriptional activation domains from protein sequences by analyzing the balance of acidic and hydrophobic residues, showing improved accuracy when combining human and yeast-based models.
Max Valentín Staller, Eddie Ramirez, Sanjana R. Kotha…·Barak A. Cohen
The paper identifies three design principles of acidic transcriptional activation domains through experimental analysis and develops a predictor to identify these domains in the human proteome.