mAbsBioinformaticsPeer-reviewed journal article
Hiding in plain sight: structure and sequence analysis reveals the importance of the antibody DE loop for antibody-antigen binding.
Simon P. KelowiD, Jared Adolf‐BryfogleiD, Roland L. DunbrackiD
Abstract
Antibody variable domains contain "complementarity determining regions" (CDRs), the loops that form the antigen binding site. CDRs1-3 are recognized as the canonical CDRs. However, a fourth loop sits adjacent to CDR1 and CDR2 and joins the D and E strands on the antibody v-type fold. This "DE loop" is usually treated as a framework region, even though mutations in the loop affect the conformation of the CDRs and residues in the DE loop occasionally contact antigen. We analyzed the length, structure, and sequence features of all DE loops in the Protein Data Bank, as well as millions of sequences from HIV-1 infected and naive patients. We refer to the DE loop as H4 and L4 in the heavy and light chain respectively. Clustering the backbone conformations of the most common length of L4 (6 residues) reveals four conformations: two {kappa}-only clusters, one {lambda}-only cluster, and one mixed {kappa}/{lambda} cluster. The vast majority of H4 loops are length-8 and exist primarily in one conformation; a secondary conformation represents a small fraction of H4-8 structures. H4 sequence variability exceeds that of the antibody framework in naive human high-throughput sequences, and both L4 and H4 sequence variability from {lambda} and heavy germline sequences exceed that of germline framework regions. Finally, we identified dozens of structures in the PDB with insertions in the DE loop, all related to broadly neutralizing HIV-1 antibodies, as well as antibody sequences from high-throughput sequencing studies of HIV-infected individuals, illuminating a possible role in humoral immunity to HIV-1.
- organism: human
- assay: protein structure
- assay: protein sequence
- research focus: sequence-to-function modeling
- approach: statistical model
- Citations
- 39
- FWCI
- 2.43
- Field percentile
- top 9%
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