Author

Prasad Siddavatam

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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Bioengineering· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Haktan Suren· 1 shared Jens CarlssoniD· 1 shared Joshua MeehliD· 1 shared Krishna Reddy GujjulaiD· 1 shared Laura M. GarganiD· 1 shared Paul J. FlynniD· 1 shared R. C. Morrin‐O'Donnell· 1 shared Rebecca Weld· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

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1 shared paperGenetics

Haktan Suren

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2 papers

Recent·Most cited

Efficient Protein Engineering via Integrated Language Models and Bayesian Optimization

Joshua Meehl, Prasad Siddavatam

This study uses protein language models and Bayesian optimization to improve protein engineering efficiency by predicting function from sequences and optimizing variant search.

bioRxiv · Sep 30, 2025 · PreprintBioengineering

Comparative analysis of single nucleotide polymorphisms and microsatellite markers for parentage verification and discovery within the equine Thoroughbred breed

Paul J. Flynn, R. C. Morrin‐O'Donnell, Rebecca Weld, Laura M. Gargan, Jens Carlsson, S. Daly, Haktan Suren, Prasad Siddavatam, Krishna Reddy Gujjula

This study compares SNP and STR markers for equine parentage verification, showing SNPs can achieve comparable or better accuracy than STRs in partial parentage scenarios.

bioRxiv · Jul 28, 2021 · PreprintGenetics