Computational design of antibodies

Curr Opin Struct Biol. 2018 Aug:51:156-162. doi: 10.1016/j.sbi.2018.04.007. Epub 2018 May 20.

Abstract

Antibody design aims to create new antibodies with biological activity that can be used in therapy and research. Traditional methods for antibody discovery, such as animal immunization and large-scale library screening, generate antibodies that bind to the target of interest, but do not necessarily have the desired functional effect. Computational methods can be utilized as a means to guide the search for biologically relevant antibodies, focusing on specificity and affinity determinants to target a particular region of the antigen. Such an approach would allow for the design of epitope-specific antibodies that will have the desired effect on the function of the targeted protein.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Antibodies, Monoclonal / chemistry*
  • Antibodies, Monoclonal / genetics
  • Antibodies, Monoclonal / immunology*
  • Antibodies, Monoclonal / pharmacology
  • Antibody Affinity
  • Antigen-Antibody Complex / chemistry
  • Antigen-Antibody Complex / metabolism
  • Antigens / chemistry
  • Antigens / immunology
  • Drug Design*
  • Epitopes / chemistry
  • Epitopes / immunology
  • Humans
  • Models, Molecular
  • Molecular Conformation
  • Protein Binding
  • Protein Engineering*
  • Structure-Activity Relationship

Substances

  • Antibodies, Monoclonal
  • Antigen-Antibody Complex
  • Antigens
  • Epitopes