Bio-Inspired Mamba for Antibody–Antigen Interaction Prediction
Antibody lead discovery, crucial for immunotherapy development, requires identifying candidates with potent binding affinities to target antigens. Recent advances in protein language models have opened promising avenues to tackle this challenge by predicting antibody–antigen interactions (AAIs). Des...
Saved in:
Main Authors: | Xuan Liu, Haitao Fu, Yuqing Yang, Jian Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-05-01
|
Series: | Biomolecules |
Subjects: | |
Online Access: | https://www.mdpi.com/2218-273X/15/6/764 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advances in the structural characterization of complexes of therapeutic antibodies with PD-1 or PD-L1
by: Mengzhen Jiang, et al.
Published: (2023-12-01) -
Unique epitope–antibody interactions in the intrinsically disordered proteoglycan-like domain of human carbonic anhydrase IX defined by high-resolution NMR combined with yeast surface display
by: Feng Ni, et al.
Published: (2023-12-01) -
Design of cross-reactive antigens with machine learning and high-throughput experimental evaluation
by: Chelsy Chesterman, et al.
Published: (2025-07-01) -
Challenges in antibody structure prediction
by: Monica L. Fernández-Quintero, et al.
Published: (2023-12-01) -
Assessment of the Diagnostic Significance of Rabbit Polyclonal Antibodies to Complex Antigens of Outer Membranes and Secreted Stress Proteins of <i>Francisella tularensis</i>
by: E. M. Kuznetsova, et al.
Published: (2025-07-01)