Screening for Protease Substrate by Polyvalent Phage Display

Radislav      Sedlacek; Emily      Chen

Abstract

Proteases are key regulators of many physiological and pathological processes [1,2], and are recognized as important and tractable drug candidates. Consequently, knowledge of protease substrate recognition and specificity promotes identification of biologically relevant substrates, helps elucidating a

Keywords: phage display, matrix metalloproteinases, substrate profiling

« Previous Next »

Rights & Permissions Print Cite

Combinatorial Chemistry & High Throughput Screening

Title: Screening for Protease Substrate by Polyvalent Phage Display

Volume: 8 Issue: 2

Author(s): Radislav Sedlacek and Emily Chen

Affiliation:

Keywords: phage display, matrix metalloproteinases, substrate profiling

Abstract: Proteases are key regulators of many physiological and pathological processes [1,2], and are recognized as important and tractable drug candidates. Consequently, knowledge of protease substrate recognition and specificity promotes identification of biologically relevant substrates, helps elucidating a

Export Options

Export File:

RIS (for EndNote, Reference Manager, ProCite)

BibTeX

Text

Content:

Citation Only

Citation and Abstract

About this article

Cite this article as:

Sedlacek Radislav and Chen Emily, Screening for Protease Substrate by Polyvalent Phage Display, Combinatorial Chemistry & High Throughput Screening 2005; 8 (2) . https://dx.doi.org/10.2174/1386207053258541

DOI https://dx.doi.org/10.2174/1386207053258541	Print ISSN 1386-2073
Publisher Name Bentham Science Publisher	Online ISSN 1875-5402

About this journal

Call for Papers in Thematic Issues

Submission closes on : 01 October, 2024

Artificial Intelligence Methods for Biomedical, Biochemical and Bioinformatics Problems

Recently, a large number of technologies based on artificial intelligence have been developed and applied to solve a diverse range of problems in the areas of biomedical, biochemical and bioinformatics problems. By utilizing powerful computing resources and massive amounts of data, methods based on artificial intelligence can significantly improve the ...read more

Guest Editor(s): Dr. Yinglei Song

Submission closes on : 01 May, 2024

Eco-friendly Agents for Biological Control of Pathogenic Diseases

The discovery of an alternative biological approach to disease management includes work on medicinal products derived from natural sources as a starting point for the development of eco-friendly agents for these diseases and the injuries they cause, as well as reducing human contact with hazardous chemicals and their residues. We ...read more

Guest Editor(s): Dr. Mohamed Dkhil

Submission closes on : 31 August, 2024

Emerging trends in diseases mechanisms, noble drug targets and therapeutic strategies: focus on immunological and inflammatory disorders

Recently infectious and inflammatory diseases have been a key concern worldwide due to tremendous morbidity and mortality world Wide. Recent, nCOVID-9 pandemic is a good example for the emerging infectious disease outbreak. The world is facing many emerging and re-emerging diseases out breaks at present however, there is huge lack ...read more

Guest Editor(s): Dr. Rituraj Niranjan

Submission closes on : 29 June, 2024

Exploring Spectral Graph Theory in Combinatorial Chemistry

Scope of the Thematic Issue: Combinatorial chemistry involves the synthesis and analysis of a large number of diverse compounds simultaneously. Traditional methods rely on brute force experimentation, which can be time-consuming and resource-intensive. Spectral Graph Theory, a branch of mathematics dealing with the properties of graphs in relation to the ...read more

Guest Editor(s): Dr. Jia Bao Liu