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Maeng, J. Y.

Publications and source records attributed to Maeng, J. Y..

4 recordsLinked to original sources

Precise, Specific, and Sensitive De Novo Antibody Design Across Multiple Cases

The precision design of antibodies, which naturally recognize diverse molecules through six variable loops, remains a critical challenge in therapeutic molecule discovery. In this study, we demonstrate that precise, sensitive, and specific antibody design can be achieved without prior antibody information across eight distinct target proteins. For each target, binders were identified from a yeast display scFv library of approximately 106 sequences, constructed by combining 102 designed light chain sequences with 104 designed heavy chain sequences. Binders with varying binding strengths were identified for all eight targets, including a case where no experimentally resolved target protein structure was available, demonstrating the highest level of precision compared to previous de novo antibody design reports. To further validate the designed antibodies, they were characterized in the IgG format for five distinct targets. The antibodies exhibited favorable developability properties, positioning them as promising hit or lead candidates. Notably, for one target in particular, the IgG-formatted antibodies exhibited affinity, activity, and developability, comparable to a commercial antibody, highlighting the sensitivity of the design method. Furthermore, binders capable of distinguishing closely related protein subtypes or mutants were identified, demonstrating that the method can achieve high molecular specificity. Cryo-EM analysis experimentally validated the designs accuracy by confirming that the key binding interactions were precisely as designed. These findings underscore the effectiveness of precision molecular design based on atomic-accuracy structure prediction. This study establishes computational antibody design as a viable approach for generating therapeutic molecules with tailored properties, with promising potential for achieving the efficacy and safety required for successful therapeutics.

bioengineering↗

Accurate antibody loop structure prediction enables zero-shot design of target-specific antibodies

Protein loops, characterized by their versatile structures with varying sizes and shapes, can recognize a wide range of targets with high specificity and affinity. The variable loops of the antibody complementarity-determining region (CDR) are particularly crucial for immune responses and therapeutic applications due to their effective target recognition capabilities. Accurate structure prediction of these antibody loops is essential for the efficient in silico design of target-binding antibodies for therapeutic or industrial use. However, predicting antibody loop structures is challenging due to the lack of evolutionary information from related proteins. Thus, a successful ab initio structure prediction method, which operates without structural templates or related sequences, is crucial for the effective design of antibody loop-mediated interactions. This study demonstrates that highly accurate antibody loop structure prediction enables the effective zero-shot design of target-binding antibody loops. The performance of loop design has been shown to depend on the accuracy of ab initio loop structure prediction, as tested with two versions of our design model. The high affinity, diversity, novelty, and specificity of the antibody loops designed with these new methods were validated experimentally on four target proteins.

bioengineering↗

Mosaic display of stable hemagglutinin monomers induces broad immune responses

The nature of the interplay between immunity and viral variation is infinitely adaptive. Infection frequently induces immune responses against variation-prone epitopes, rather than against spatially hidden conserved epitopes. It thus remains a substantial challenge to elicit the immune responses to the conserved epitopes providing broad-spectrum immunity. We developed an approach of scaffold-mediated mosaic display to present monomeric influenza virus hemagglutinins (HAs), which exposes highly conserved stem and interface epitopes. Stable monomers were rationally engineered from H1 and H3 subtypes and B type HA trimers, with amino acid mutations at the monomer-monomer interface and for disulfide bond formation, and fused to a self-assembling scaffold, to generate a mosaic HA monomer-displaying nanoparticle, 3HA-np. Immunization with 3HA-np induced broadly neutralizing antibodies (bnAbs) in mice and ferrets and protected against challenges with H1N1 and H3N2 viruses. Competitive immunoassays revealed that 3HA-np induced high interface- and stem-binding Ab titers as compared to head Ab titers, indicating that the monomeric and mosaic nature of 3HA-np elicit cross-reactive Abs. Our results suggest that exposure of the hidden conserved epitope by monomer-displaying nanoparticles is a promising approach to generate a universal influenza vaccine.

bioengineering↗

Mosaic receptor-binding domain nanoparticles induce protective immunity against SARS-CoV-2 challenges

Recurrent spillovers of - and {beta}-coronaviruses (CoV) such as acute respiratory syndrome (SARS)-CoV, Middle East respiratory syndrome (MERS)-CoV, SARS-CoV-2, and possibly human CoV (NL63, 229E, OC43, and HKU1) have caused serious morbidity and mortality worldwide. Six receptor binding domains (RBDs) derived from - and {beta}-CoV that are considered to have originated from animals and cross-infected humans were linked to proliferating cell nuclear antigen (PCNA) heterotrimeric subunits, PCNA1, PCNA2, and PCNA3. These were used to form a scaffold-based mosaic multivalent antigen, 6RBD-np. Electron microscopic and atomic force microscopic images show a ring-shaped disk with six protruding RBDs, like jewels in a crown, with a size of 40 nm. Prime-boost immunizations with 6RBD-np in BALB/c mice elicited strong, dose-dependent antibody responses. In human angiotensin converting enzyme 2-transgenic mice, the same immunization induced full-protection against SARS-CoV-2 wild type and Delta challenges, resulting in a 100% survival rate. The mosaic 6RBD-np provides a potential platform for developing a pan-CoV vaccine against newly emerging SARS-CoV-2 variants and future CoV spillovers. SignificanceDespite the arsenal of COVID-19 vaccines, hospitalization and mortality associated with SARS-CoV-2 (acute respiratory syndrome coronavirus 2) variants remain high. There is an urgent need to develop next-generation COVID vaccines that provide broad protection against diseases by current and newly emerging SARS-CoV-2 variants. In this study, six receptor binding domains (RBDs) derived from - and {beta}-CoV were linked to proliferating cell nuclear antigen (PCNA) heterotrimeric scaffolds. They assemble to create a stable mosaic multivalent nanoparticle, 6RBD-np, displaying a ring-shaped disk with six protruding antigens. The prime-boost immunization in BALB/c and human angiotensin converting enzyme 2-transgenic mice with the 6RBD-np elicited strong, dose-dependent antibody responses and induced full-protection against both the SARS-CoV-2 wild type (WT) and Delta challenges. This study provides proof-of-concept that the mosaic 6RBD-np induces 100% protection against SARS-CoV-2 WT and Delta. It provides the potential of co-displaying heterologous antigens for novel vaccine designs, which can be deployed countering future pandemics.

bioengineering↗