Author

Bhoomika Basu Mallik

Ludwig-Maximilians-Universität MünchenORCID 0000-0002-0592-4267Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioengineering· 1

Signature Assays, Organisms & Methods

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Research Focus:protein design· 2 Assay:protein structure· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:protein sequence· 1

Frequent Co-Authors

Alena KhmelinskaiaiD· 2 shared Clara T. SchoederiD· 2 shared D. L. RIEGERiD· 2 shared Ho Yeung ChimiD· 2 shared Miguel Atienza JuanateyiD· 2 shared Phillip SchlegeliD· 2 shared Alex Reis· 1 shared Anna U. Macintyre· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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2 shared papersBioengineering

Alena KhmelinskaiaORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintSep 18, 2026

✦ In-depth digest

Latent generative search unlocks de novo design of untapped biomolecular interactions at scale

Kieran Didi, Danny Reidenbach, Matthew Penner…·Karsten Kreis

Reward-guided inference-time search over the Proteína-Complexa sequence-structure codesign model yields validated binders across 127 targets, kinases and a free carbohydrate, with codesigned sequences outperforming ProteinMPNN redesign.

4 citations

humanvirus

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BiochemistrybioRxivPreprintJul 3, 2026

A generalizable interface-seeded framework for de novo design of functional oligomers

Ho Yeung Chim, Mubarak Olanrewaju Idris, D. L. RIEGER…·Alena Khmelinskaia

This paper introduces an AI-based framework for designing responsive protein oligomers that assemble in response to chemical or phosphorylation triggers, validated through experimental testing.

DOI 10.64898/2026.07.02.736098

protein structuredeep learning

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