Author

Dulitha Prasanna Kulathunga

Iowa State UniversityORCID 0000-0003-1822-9682Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 2 Approach:Bayesian inference· 1 Research Focus:protein design· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

Davit A. PotoyaniD· 2 shared Divyanshu ShuklaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersBiophysics

Davit A. PotoyanORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintAug 7, 2026

Coevolution-informed Bayesian optimization for sample-efficient protein design

Dulitha Prasanna Kulathunga, Divyanshu Shukla, Davit A. Potoyan

This paper introduces ALSEBO, a Bayesian optimization method for protein design that efficiently finds optimal sequences with few evaluations by leveraging coevolutionary statistics.

DOI 10.64898/2026.08.06.743295

protein sequenceBayesian inference

𝕏 PostBluesky

BiophysicsBiophysical JournalPeer-reviewedJun 5, 2025

Thermal Adaptation of Extremozymes: Temperature-Sensitive Contact Analysis of Serine Proteases

Dulitha Prasanna Kulathunga, Davit A. Potoyan

This paper analyzes sequence-dynamics relationships in subtilisin-like serine proteases to understand thermal adaptation mechanisms, revealing structural features that contribute to thermophilic and psychrophilic stability.

2 citations

proteomicsdeep learning

𝕏 PostBluesky