Author
Institute for Protein Innovation
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
3 papers
Recent·Most cited
Deepash Kothiwal, Aaron W. Kollasch, Murali Anuganti…·Rob Meijers
The paper develops a synthetic Fab yeast display library integrated with machine learning to discover antibodies against cell surface antigens, yielding hundreds of validated antibodies and a public dataset.
Chang Yang, Raina Soni, Sarah Visconti…·Haisun Zhu
The paper evaluates codon optimization strategies for mammalian glycoprotein production and finds that native codons are sufficient, while selective codon skewing can improve yields for some targets.
Steffan B. Paul, Edward P. Harvey, James Osei‐Owusu…·Andrew C. Kruse
This paper uses machine learning to predict high-affinity nanobody binders from sparse sequencing data, outperforming deep learning and semi-supervised methods with linear models.