Structure Bioinformatics of Six Human Integral Transmembrane Enzymes and their AlphaFold3 Predicted Water-Soluble QTY Analogs: Insights into FACE1 and STEA4 Binding Mechanisms
Our structural bioinformatics studies using the QTY code and AlphaFold3 not only provide the opportunities of designing more water-soluble integral membrane enzymes, but also use these water-soluble QTY analogs as antigens for therapeutic monoclonal antibody discovery to specifically target the key integral membrane enzymes.
Authors
- Shuguang Zhang (ORCID: https://orcid.org/0000-0002-3856-3752)
- Edward Chen
- Emily Pan (ORCID: https://orcid.org/0009-0005-9718-6896)
Institutions
- Massachusetts Institute of Technology (US)
- Carnegie Mellon University (US)
Publication Details
- Journal
- Pharmaceutical Research
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1007/s11095-025-03822-6
- Citations
- 3
- Primary Topic
- Receptor Mechanisms and Signaling
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- Massachusetts Institute of Technology