A5090835128- Monoclonal and Polyclonal Antibodies Research
- Ubiquitin and proteasome pathways
- Advanced Biosensing Techniques and Applications
- Viral Infectious Diseases and Gene Expression in Insects
- Cytokine Signaling Pathways and Interactions
- Cell Adhesion Molecules Research
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- Peptidase Inhibition and Analysis
- Glycosylation and Glycoproteins Research
- Genetics, Bioinformatics, and Biomedical Research
- Protein Kinase Regulation and GTPase Signaling
- Protease and Inhibitor Mechanisms
- vaccines and immunoinformatics approaches
University of Leeds
2017-2024
Institute of Structural and Molecular Biology
2017
Molecular recognition reagents are key tools for understanding biological processes and used universally by scientists to study protein expression, localisation interactions. Antibodies remain the most widely of such many show excellent performance, although some poorly characterised or have stability batch variability issues, supporting use alternative binding proteins as complementary applications. Here we report on Affimer research reagents. We selected 12 diverse molecular targets...
Abstract Despite SH2 domains, being pivotal in protein interactions linked to various diseases like cancer, we lack specific research tools for intracellular assays. Understanding SH2-mediated and creating effective inhibitors requires which target individual domains. Affimer reagents exhibit promise, yet their potential against the extensive domain family remains largely unexplored. Our study aimed bridge this gap by identifying that selectively bind 22 out of 41 These enabled a...
<title>Abstract</title> Despite SH2 domains, being pivotal in protein interactions linked to various diseases like cancer, we lack specific research tools for intracellular assays. Understanding SH2-mediated and creating effective inhibitors requires which target individual domains. Affimer reagents exhibit promise, yet their potential against the extensive domain family remains largely unexplored. Our study aimed bridge this gap by identifying that selectively bind 22 out of 41 These...