| Concept | Description | Key Examples / Applications | Remarks |
|---|
| Monoclonal Antibodies | Lab-engineered proteins that mimic immune response by targeting specific antigens | Rituximab (cancer), m102.4 (Nipah), REGN-COV2 (COVID-19) | Derived from a single clone of B-cells; high specificity |
| Antigen Binding | mAbs bind to specific molecular structures (epitopes) on pathogens or cells | Cancer cells, virus proteins, autoimmune markers | Enables targeted neutralization or immune activation |
| Immunological Stimulation | Binding of mAbs to antigens can lead to immune-mediated destruction of target cells | ADCC (antibody-dependent cell-mediated cytotoxicity), complement activation | Basis of therapeutic effect in many diseases |
| Treatment of Viral Infections | mAbs can neutralize viruses by binding to surface proteins and preventing cell entry | m102.4 (Nipah), REGN-COV2 (COVID), ZMapp (Ebola) | Often used under compassionate use protocols for emerging viral threats |
| m102.4 (for Nipah virus) | Experimental monoclonal antibody targeting G glycoprotein of Nipah virus | Used in small number of human cases | Not yet approved widely but shows promise in preclinical and early human use |
| Deep Learning in Biotech | AI tools are used to design and optimize mAbs for better binding and safety | AlphaFold (protein structure), antibody design algorithms | Speeds up discovery and reduces trial-and-error in lab settings |