The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens.

IDentif.AI-x, a clinically actionable artificial intelligence platform, was used to rapidly pinpoint and prioritize optimal combination therapies against COVID-19 by pairing a prospective, experimental validation of multi-drug efficacy on a SARS-CoV-2 live virus and Vero E6 assay with a quadratic optimization workflow. A starting pool of 12 candidate drugs developed in collaboration with a community of infectious disease clinicians was first narrowed down to a six-drug pool and then interrogated in 50 combination regimens at three dosing levels per drug, representing 729 possible combinations.

Targeting Epstein-Barr virus-transformed B lymphoblastoid cells using antibodies with T-cell receptor-like specificities.

Epstein-Barr virus (EBV) is an oncovirus associated with several human malignancies including posttransplant lymphoproliferative disease in immunosuppressed patients. We show here that anti-EBV T-cell receptor-like monoclonal antibodies (TCR-like mAbs) E1, L1, and L2 bound to their respective HLA-A*0201-restricted EBV peptides EBNA1562-570, LMP1125-133, and LMP2A426-434 with high affinities and specificities. These mAbs recognized endogenously presented targets on EBV B lymphoblastoid cell lines (BLCLs), but not peripheral blood mononuclear cells, from which they were derived.

Leukocyte immunoglobulin-like receptor B1 is critical for antibody-dependent dengue.

Viruses must evade the host innate defenses for replication and dengue is no exception. During secondary infection with a heterologous dengue virus (DENV) serotype, DENV is opsonized with sub- or nonneutralizing antibodies that enhance infection of monocytes, macrophages, and dendritic cells via the Fc-gamma receptor (FcγR), a process termed antibody-dependent enhancement of DENV infection. However, this enhancement of DENV infection is curious as cross-linking of activating FcγRs signals an early antiviral response by inducing the type-I IFN-stimulated genes (ISGs).

A human PrM antibody that recognizes a novel cryptic epitope on dengue E glycoprotein.

Dengue virus (DENV) is a major mosquito-borne pathogen infecting up to 100 million people each year; so far no effective treatment or vaccines are available. Recently, highly cross-reactive and infection-enhancing pre-membrane (prM)-specific antibodies were found to dominate the anti-DENV immune response in humans, raising concern over vaccine candidates that contain native dengue prM sequences. In this study, we have isolated a broadly cross-reactive prM-specific antibody, D29, during a screen with a non-immunized human Fab-phage library against the four serotypes of DENV.

Ligation of Fc gamma receptor IIB inhibits antibody-dependent enhancement of dengue virus infection.

The interaction of antibodies, dengue virus (DENV), and monocytes can result in either immunity or enhanced virus infection. These opposing outcomes of dengue antibodies have hampered dengue vaccine development. Recent studies have shown that antibodies neutralize DENV by either preventing virus attachment to cellular receptors or inhibiting viral fusion intracellularly.

Optimized expression of full-length IgG1 antibody in a common E. coli strain.

Multi-polypeptide proteins such as antibodies are difficult to express in prokaryotic systems such as E. coli due to the complexity of protein folding plus secretion. Thus far, proprietary strains or fermenter cultures have been required for appreciable yields.

Prophylactic and therapeutic efficacy of a chimeric monoclonal antibody specific for H5 haemagglutinin against lethal H5N1 influenza.

Background: Recent outbreaks of highly pathogenic H5N1 viruses in humans indicate that no endogenous protection exists in the general population. Vaccination programmes against this new pathogen require synthesis of endogenous antibodies and cannot provide any immediate protection in the event of a pandemic. Passive immunization with humanized neutralizing monoclonal antibodies can prove to be promising in preventing a catastrophic pandemic.