Author

Radheesh Sharma Meda

Primary ORCID profile (0000-0001-7361-743X · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Radheesh Sharma MedaiD1 paper · Carnegie Mellon University

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:protein sequence· 3 Research Focus:protein structure prediction· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:E. coli· 1 Approach:large language model· 1

Frequent Co-Authors

Shankar Shastry· 3 shared Venkatesh P. MysoreiD· 3 shared Eswar Iyer· 1 shared Hudson Tien· 1 shared Jigar Doshi· 1 shared Riya Rajagopalan· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

6 top collaborators · 10 mutual co-author links

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3 shared papersBioinformatics

Shankar Shastry

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3 papers

Recent·Most cited

Protein solubility depends on centrifugation: Aiki-Sol, a per-regime predictor for E. coli

Riya Rajagopalan, Radheesh Sharma Meda, Shankar Shastry, Venkatesh P. Mysore

The paper introduces Aiki-Sol, a predictor for E. coli protein solubility that accounts for centrifugation regimes, improving performance by treating regime as a feature rather than noise.

bioRxiv · May 14, 2026 · PreprintBioinformatics

Aiki-GeNano: Multi-Stage Preference Optimization for Generative Design of Developable Nanobodies

Radheesh Sharma Meda, Jigar Doshi, Eswar Iyer, Shankar Shastry, Venkatesh P. Mysore

Aiki-GeNano improves nanobody design by integrating developability signals into training, enhancing thermal stability and reducing liabilities while preserving humanness.

bioRxiv · May 1, 2026 · PreprintBioinformatics

Aiki-XP: leakage-controlled multimodal prediction of within-species relative protein expression at pan-bacterial scale

Hudson Tien, Radheesh Sharma Meda, Shankar Shastry, Venkatesh P. Mysore

Aiki-XP predicts within-species relative protein expression across bacteria using multimodal data, outperforming single-omics models in leakage-controlled settings.

bioRxiv · Apr 23, 2026 · PreprintBioinformatics