Improving the Drug-Like Properties of Affinity-Matured Antibodies via QSPR
Time: 3:00 pm
day: Day Two
Details:
- Affinity maturation often produces a panel of prospective lead candidates
- These candidates have a diverse range of drug-like properties
- Utilizing QSPR and machine Learning we are able to identify residues that drive an unwanted drug-like property
- In this talk, we validate this approach by mitigating off-target interactions of high-affinity binders
