Author

Minh Anh Kieu

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.

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:machine learning (classical)· 2 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Andre A. R. TeixeiraiD· 2 shared Haisun ZhuiD· 2 shared Aaron W. KollaschiD· 1 shared Adam J. RiesselmaniD· 1 shared Andrew C. KruseiD· 1 shared Artem GazizoviD· 1 shared Conor T. McMahoniD· 1 shared Debora S. MarksiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Andre A. R. TeixeiraORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

An interpretable open platform for sequence-based antibody developability prediction

Hoan N. Nguyen, Deepash Kothiwal, Yang Su, Minh Anh Kieu, Ruili Cao, Haisun Zhu, Andre A. R. Teixeira

DELPHI is an open platform for predicting antibody developability from sequence, achieving high AUC scores and enabling residue-level engineering insights.

bioRxiv · Sep 24, 2026 · PreprintBioinformatics

Machine Learning enables efficient and effective affinity maturation of nanobodies

Steffan B. Paul, Edward P. Harvey, James Osei‐Owusu, Aaron W. Kollasch, Adam J. Riesselman, Conor T. McMahon, Artem Gazizov, Murali Anuganti, Filmawit Belay, Minh Anh Kieu, Haisun Zhu, L. Robert Hollingsworth, J. Wade Harper, Deborah J. Moshinsky, Andre A. R. Teixeira, , 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.

bioRxiv · Jan 12, 2026 · PreprintBioinformatics