Author

Sevan Habeshian

ORCID 0000-0001-8279-3961Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:perturbation response prediction· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

Alice Granger· 1 shared Chiara TonioloiD· 1 shared Clement GensousiD· 1 shared Federica Rigoldi· 1 shared Gregg Siegal· 1 shared Lena Tagmose· 1 shared Masa Kobayashi· 1 shared Oliver HorlacheriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alice Granger

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 24, 2026

De novo design of small cyclic peptide inhibitors from non-canonical amino acids by cofolding-guided search

Zander Harteveld, Federica Rigoldi, Chiara Toniolo…·Oliver Horlacher

This paper introduces nCycle-Forge, a computational method for designing cyclic peptides that outperforms existing approaches in hit rate and potency against two targets.

DOI 10.64898/2026.09.24.754019

protein structuredeep learning

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