Structural basis of clade-specific HIV-1 neutralization by humanized anti-V3 monoclonal antibody KD-247

Sensitivity to a CD4 mimic of a consensus clone of monkey-adapted CCR5-tropic SHIV-MK38C

By acclimatizing CCR5-tropic tier 1B SHIV-MK1 to rhesus monkeys, a tier 2 SHIV-MK38 strain with neutralization resistance and high replication ability was generated. In this study, we generated SHIV-MK38C, a monkey-infectious consensus molecular clone of SHIV-MK38. Analysis using pseudotype viruses showed that MK38C was tier 1C because it lacked the N169D mutation, which is the most important mutation for neutralization resistance. MK38C harboring the N169D mutation became tier 2. However, the replication ability of SHIV-MK38C with N169D was low; more than 17 weeks elapsed before its detection in monkeys. Tier 1C MK38C was sensitive to a CD4 mimic. Therefore, SHIV-MK38C could be used to evaluate CD4 mimics in vivo.

Prediction of Contact Residues in Anti-HIV Neutralizing Antibody by Deep Learning

The monoclonal antibody 1C10 targets the V3 loop of HIV-1 and neutralizes a broad range of clade B viruses. However, the mode of interaction between 1C10 and the V3 loop remains unclear because crystallization of 1C10 and the V3 peptide was unsuccessful due to the flexible regions present in both 1C10 and the V3 peptide. In this study, we predicted the 1C10 amino acid residues that make contact with the V3 loop using a deep learning (DL)-based method. Inputs from ROSIE for docking simulation and FastContact, Naccess, and PDBtools, to approximate interactions were processed by Chainer for DL, and outputs were obtained as probabilities of contact residues. Using this DL algorithm, D95, D97, P100a, and D100b of CDRH3; D53, and D56 of CDRH2; and D61 of FR3 were highly ranked as contact residues of 1C10. Substitution of these residues with alanine significantly decreased the affinity of 1C10 to the V3 peptide. Moreover, the higher the rank of the residue, the more the binding activity diminished. This study demonstrates that the prediction of contact residues using a DL-based approach is a precise and useful tool for the analysis of antibody-antigen interactions.