Author

Riza Danurdoro

Iowa State University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Ratul ChowdhuryiD· 2 shared Vaishnavey SRiD· 2 shared Curwen Pei Hong Tan· 1 shared Hannah Gates· 1 shared Julia Young· 1 shared Karuna Anna SajeevaniD· 1 shared Michael A. ZelleriD· 1 shared Sakib FerdousiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Ratul ChowdhuryORCID

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2 papers

Recent·Most cited

Cyclome: Large-scale replica-exchange dynamics of 930 cyclic peptide reveal thermal stability and critical metal-binding behavior

Karuna Anna Sajeevan, Hannah Gates, Vaishnavey SR, Curwen Pei Hong Tan, Riza Danurdoro, Julia Young, Ratul Chowdhury

The paper develops a computational framework to analyze cyclic peptides, integrating data, improving sequence alignment, simulating thermal stability, and predicting melting points and metal binding.

bioRxiv · Apr 12, 2026 · PreprintBioinformatics

Structurally Informed Fitness Landscapes for Surveillance of Emerging PRRSV Variants

Vaishnavey SR, Supantha Dey, Sakib Ferdous, Riza Danurdoro, Michael A. Zeller, Ratul Chowdhury

This paper introduces EscaPRRS, a Bayesian variational autoencoder that predicts antibody escape propensities of PRRSV GP5 mutants using structural and sequence data, showing strong correlation with binding affinities.

bioRxiv · Oct 6, 2025 · PreprintBiochemistry