The comparison of BLyS-binding peptides from phage display library and computer-aided design on BLyS–TACI interaction

Application of Computational Techniques in Antibody Fc-Fused Molecule Design for Therapeutics

Since the advent of hybridoma technology in the year 1975, it took a decade to witness the first approved monoclonal antibody Orthoclone OKT39 (muromonab-CD3) in the year 1986. Since then, continuous strides have been made to engineer antibodies for specific desired effects. The engineering efforts were not confined to only the variable domains of the antibody but also included the fragment crystallizable (Fc) region that influences the immune response and serum half-life. Engineering of the Fc fragment would have a profound effect on the therapeutic dose, antibody-dependent cell-mediated cytotoxicity as well as antibody-dependent cellular phagocytosis. The integration of computational techniques into antibody engineering designs has allowed for the generation of testable hypotheses and guided the rational antibody design framework prior to further experimental evaluations. In this article, we discuss the recent works in the Fc-fused molecule design that involves computational techniques. We also summarize the usefulness of in silico techniques to aid Fc-fused molecule design and analysis for the therapeutics application.

Molecular Design of Peptide-Fc Fusion Drugs

Background:

Peptide-Fc fusion drugs, also known as peptibodies, are a category of biological therapeutics in which the Fc region of an antibody is genetically fused to a peptide of interest. However, to develop such kind of drugs is laborious and expensive. Rational design is urgently needed.

Methods:

We summarized the key steps in peptide-Fc fusion technology and stressed the main computational resources, tools, and methods that had been used in the rational design of peptide-Fc fusion drugs. We also raised open questions about the computer-aided molecular design of peptide-Fc.

Results:

The design of peptibody consists of four steps. First, identify peptide leads from native ligands, biopanning, and computational design or prediction. Second, select the proper Fc region from different classes or subclasses of immunoglobulin. Third, fuse the peptide leads and Fc together properly. At last, evaluate the immunogenicity of the constructs. At each step, there are quite a few useful resources and computational tools.

Conclusion:

Reviewing the molecular design of peptibody will certainly help make the transition from peptide leads to drugs on the market quicker and cheaper.

Construction of small molecular CTLA4 analogs with CD80-binding affinity

A variety of CTLA4-Fc fusion proteins and anti-CTLA4 monoclonal antibody have been approved. Given the shortcomings of macromolecular antibodies, recombinant proteins derived from the tenth unit of human type III fibronectin (FN3) termed monobody were studied as CTLA4 analogs in this study. A peptide EL16¹ derived from CD80-binding domain (MYPPPY motifs) in the complementarity determining region (CDR) 3 of CTLA4 was found to inhibit the interaction of CTLA4 with CD80 significantly. Afterward, the peptide EL16 as well as the CDR1 of CTLA4 which is also critical for its binding to CD80 were grafted onto FN3 and obtained a novel CD80 binding monobody protein CFN13.² CFN13 showed 80% binding affinity compared to CTLA4. In addition, to increase the half-life, CFN13 was fused to human IgG1 Fc to generate CFN13-Fc fusion protein. As expected, CFN13-Fc bound to CD80 in a dosage-dependent manner as CFN13 did, and displayed 41.0% and 31.4% inhibition on the interaction of CTLA4-Fc with CD80 at 200 μg/ml and 100 μg/ml respectively. Moreover, peptide EL16 could inhibit CFN13-Fc binding to CD80 significantly, with the inhibition ratio of 64.3% and 52.8% at 100 and 50 μg/ml respectively, indicating that the peptide EL16 and CFN13-Fc shared the similar binding sites with CD80 and the CDR3 motif of CTLA4 contributed more than CDR1 in binding to CD80. In summary, our study provides insights into small molecular analogs of CTLA4.