Artificial intelligence (AI)-based 3D protein modelling software have revolutionized structural biology, often predicting protein structures with unprecedented confidence. However, to get the most out of AI, it is advisable to consider the information provided by a set of 'best' models with similar reliability scores, rather than just the top-ranked model, and to compare the results of different AI predictors. Furthermore, the 'highest scoring' solution is not always the 'best' one, especially in the case of oligomeric models where it may be crucial to introduce experimental knowledge into their selection. Here, we present the FoldScript web server, which has been developed to address these issues. It can be used to gather and synthesize primary to quaternary structure information from a set of up to 25 AI-generated models. The analysis is presented in the form of a comprehensible flat figure and mosaics of 3D structures, allowing efficient visual inspection of structural differences. Another module identifies models with known intermolecular contacts. FoldScript is therefore a decision support tool designed to help a large community, whether or not they are structural biologists, to rationally select the most accurate model in an AI-driven modelling process. It is freely available without login requirement at https://foldscript.ibcp.fr.

Human IgA could be from different isotypes (IgA1/IgA2) and/or isoforms (monomeric, dimeric, or secretory). Monomeric IgA mainly IgA1 are considered as an anti‐inflammatory isotype whereas dimeric/secretory IgA have clearly dual pro‐ and anti‐inflammatory effects. Here, we show that IgA isotypes and isoforms display different binding abilities to FcαRI, Dectin‐1, DC‐SIGN, and CD71 on monocyte‐derived dendritic cells (moDC). We describe that IgA regulate the expression of their own receptors and trigger modulation of moDC maturation. We also demonstrate that dimeric IgA2 and IgA1 induce different inflammatory responses leading to cytotoxic CD8⁺ T cells activation. moDC stimulation by dimeric IgA2 was followed by a strong pro‐inflammatory effect. Our study highlights differences regarding IgA isotypes and isoforms in the context of DC conditioning. Further investigations are needed on the activation of adaptive immunity by IgA in the context of microbiota/IgA complexes during antibody‐mediated immune selection.

Recent evidence suggests that a CD8-mediated cytotoxic T-cell response against the regulatory proteins of human immunodeficiency virus (HIV) or simian immunodeficiency virus (SIV) may control infection after pathogenic virus challenge. Here, we evaluated whether vaccination with Tat or Tat and Rev could significantly reduce viral load in nonhuman primates. Rhesus macaques were primed with Semliki forest Virus (SFV) expressing HIV-1 tat (SFV-tat) and HIV-1 rev (SFV-rev) and boosted with modified vaccinia virus Ankara (MVA) expressing tat and rev. A second group of monkey was primed with SFV-tat only and boosted with MVA-tat. A third group received a tat and rev DNA/MVA prime-boost vaccine regimen. Monitoring of anti-Tat and anti-Rev antibody responses or antigen-specific IFN-γ production, as measured by enzyme-linked immunospot assays revealed no clear differences between the three groups. These results suggest that priming with either DNA or SFV seemed to be equivalent, but the additive or synergistic effect of a rev vaccine could not be clearly established. The animals were challenged by the rectal route 9 weeks after the last booster immunization, using 10 MID₅₀ of a SHIV-BX08 stock. Postchallenge follow-up of the monkeys included testing seroconversion to Gag and Env antigens, measuring virus infectivity in PBMC by cocultivation with noninfected human cells, and monitoring of plasma viral load. None of the animals was protected from infection as assessed by PCR, but peak viremia was reduced more than 200-fold compared to sham controls in one third (6/18) of vaccinated macaques, whatever the vaccine regimen they received. Interestingly, among these six protected animals four did not seroconvert. Altogether, these results clearly indicated that the addition of early HIV proteins like Tat and Rev in a multicomponent preventive vaccine including structural proteins like Env or Gag may be beneficial in preventive vaccinal strategies.

To study phenotypic and genotypic resistance of HIV-2 against nucleoside reverse transcriptase inhibitors (NRTI). Biologic HIV-2 clones were generated from 3 patients before and after initiation of antiretroviral therapy with zidovudine (AZT) in patient RH2-7, AZT and didanosine (ddI) in patient PH2-1, and after addition of lamivudine (3TC) to AZT monotherapy in patient RH2-5. The sensitivity to NRTI of the virus clones, as defined by the 50% inhibitory concentration (IC50), was determined in vitro. The predicted amino acid sequences of the reverse transcriptase proteins from these clones were determined. Comparing the sensitivity of the biologic HIV-2 clones obtained after start of therapy with those from antiviral naive patients, resistance had developed to AZT (patients RH2-7 and RH2-5) and 3TC (patient PH2-1 and RH2-5). No resistance to AZT was observed in the biologic clone from PH2-1 obtained after start of therapy. The resistant clones from RH2-5 and PH2-1, but not RH2-7, contained amino acid mutations at positions where HIV-1 has been shown to mutate after AZT and 3TC treatment. Phenotypic resistance of HIV-2 to nucleoside analogues, which developed in HIV-2-infected patients treated with NRTIs, was associated with genotypic changes. Some of the mutations at amino acid positions in the HIV-2 reverse transcriptase gene corresponded with those involved in HIV-1 resistance, although no conventional mutations associated with resistance to AZT were observed.