Author

Leonard Kaysser

Leipzig UniversityORCID 0000-0002-3943-993XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:protein design· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:sequence-to-function modeling· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Clara T. SchoederiD· 2 shared Phillip SchlegeliD· 2 shared Alena KhmelinskaiaiD· 1 shared Bhoomika Basu MallikiD· 1 shared Bruno E. CorreiaiD· 1 shared Chen Chao SheniD· 1 shared Christian WölkiD· 1 shared D. L. RIEGERiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBiochemistry

Clara T. SchoederORCID

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3 papers

Recent·Most cited

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

Ho Yeung Chim, Mubarak Olanrewaju Idris, D. L. RIEGER, Phillip Schlegel, Nicolas Manuel Goldbach, Miguel Atienza Juanatey, Bhoomika Basu Mallik, Stephen Buckley, Samrat Basak, Sandrine Georgeon, Kelvin Lau, Florence Pojer, Leonard Kaysser, Philip Tinnefeld, Clara T. Schoeder, , 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.

bioRxiv · Jul 3, 2026 · PreprintBiochemistry

Intrinsic structure of lipoplexes embedded in polyelectrolyte multilayers

Maria Krabbes, Vincent Kampik, Mathilde Büttner, Leonard Kaysser, Emanuel Schneck, Chen Chao Shen, Christian Wölk

This study investigates how embedding lipoplexes in polyelectrolyte multilayers affects their internal mesoscopic structure using synchrotron-based x-ray scattering.

Langmuir · Feb 13, 2026Peer-reviewedBiophysics

HyperMPNN - A general strategy to design thermostable proteins learned from hyperthermophiles

Moritz Ertelt, Phillip Schlegel, Max Beining, Leonard Kaysser, Jens Meiler, Clara T. Schoeder

This paper introduces HyperMPNN, a deep learning model trained on hyperthermophile proteins to design highly thermostable proteins, achieving stability up to 95°C.

bioRxiv · Nov 26, 2024 · PreprintBioinformatics