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Omics · dataset · 2025

NGS data - matriptase substrate library

Listed in Teesside University Research Data Repository

This dataset supports a study on engineering optimized matriptase substrates for protease-activated prodrugs. "Engineering high efficiency matriptase substrates using E. coli display for applications in prodrug activation".

Description

Anna Mestre Borras, Hanna Mehari, Stefan Ståhl and John Löfblom, doi: 10.1016/j.crmeth.2025.101077. A biased peptide library was displayed on E. coli and screened over four rounds using FACS after matriptase treatment.

Files include raw and annotated sequences (original + Sort1–Sort4) from NGS, as well as clustered variants. The data reveal enrichment of efficiently cleaved sequences and were used to guide downstream kinetic and prodrug activation assays. Sequencing data were processed to extract substrate motifs, identify high-frequency hits, and assess cleavage preferences.

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Where it is published

Catalogue records · 1

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Provenance · 1 source records, 7 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/tm79cffy8m.117 h agoJSON v1
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:sequencingmapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Next Generation Sequencing']
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
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