Improving the Drug-Like Properties of Affinity-Matured Antibodies via QSPR

Time: 1:00 pm
day: Day Two


  • 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