DNA‐Encoded Noncanonical Substrate Library for Protease Profiling

Profiling the substrate sequence preferences of proteases is important for understanding both biological functions as well as for designing protease inhibitors. Several methods are available for profiling the sequence specificity of proteases. However, there is currently no rapid and high-throughput method to profile specificity of proteases for noncanonical substrates. In this study, we described a strategy to use a DNA-encoded noncanonical substrate library to identify the protease substrates composed of both canonical and noncanonical amino acids. This approach uses a DNA-encoded peptide library and introduces a biotin molecule at the N-terminus to immobilize the library on a solid support. Upon protease hydrolysis, the released DNA tag of the substrate peptides can be sequenced to identify the substrate structures. Using this approach, we profiled trypsin and fibroblast activation protein α and discovered noncanonical substrates that were more efficiently cleaved than the commonly used substrates. The identified substrates of FAP were further used to design corresponding covalent inhibitors containing non-canonical sequences with high potency for the target protease. Overall, our approach can aid in the development of new protease substrates and inhibitors.

Authors

Institutions

Publication Details

Journal
ChemBioChem
Published
2024-09-19
DOI
https://doi.org/10.1002/cbic.202400559
Citations
4
Primary Topic
Chemical Synthesis and Analysis
Type
article
Field-Weighted Citation Impact
0.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DNA‐Encoded Noncanonical Substrate Library for Protease Profiling

Matthew S. Bogyo, Xiaojie Lu, Bixi Tang, Yi Zang et al.
4 citations
ChemBioChem
Chemical Synthesis and Analysis
0.94
article

DNA‐Encoded Noncanonical Substrate Library for Protease Profiling

Matthew S. Bogyo, Xiaojie Lu, Bixi Tang, Yi Zang, Huiya Zhang, Zhaoyun Zong, Shiyu Chen, Li Jia, Yixuan Yang, Yuyu Xing
article en
4 citations

Abstract

Profiling the substrate sequence preferences of proteases is important for understanding both biological functions as well as for designing protease inhibitors. Several methods are available for profiling the sequence specificity of proteases. However, there is currently no rapid and high-throughput method to profile specificity of proteases for noncanonical substrates. In this study, we described a strategy to use a DNA-encoded noncanonical substrate library to identify the protease substrates composed of both canonical and noncanonical amino acids. This approach uses a DNA-encoded peptide library and introduces a biotin molecule at the N-terminus to immobilize the library on a solid support. Upon protease hydrolysis, the released DNA tag of the substrate peptides can be sequenced to identify the substrate structures. Using this approach, we profiled trypsin and fibroblast activation protein α and discovered noncanonical substrates that were more efficiently cleaved than the commonly used substrates. The identified substrates of FAP were further used to design corresponding covalent inhibitors containing non-canonical sequences with high potency for the target protease. Overall, our approach can aid in the development of new protease substrates and inhibitors.

ChemBioChemVol. 25(23)
Chinese Academy of Sciences (CN), Shanghai Institute of Materia Medica (CN), University of Chinese Academy of Sciences (CN), Stanford University (US)
Openalex Percentile: Top 25%
Chemical Synthesis and Analysis
0.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

DNA‐Encoded Noncanonical Substrate Library for Protease Profiling — Matthew S. Bogyo, Xiaojie Lu, et al. · ChemBioChem (2024) | TGRS Research Map | TGRS