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Deming, D.

Publications and source records attributed to Deming, D..

4 recordsLinked to original sources

A Comprehensive Engineering Strategy Improves Potency and Manufacturability of a Near Pan-neutralizing Antibody Against HIV

Anti-HIV envelope broadly neutralizing antibodies (bnAbs) are alternatives to conventional antiretrovirals with the potential to prevent and treat infection, reduce latent reservoirs, and/or mediate a functional cure. Clinical trials with "first generation" bnAbs used alone or in combination show promising antiviral effects but also highlight that additional engineering of "enhanced" antibodies will be required for optimal clinical utility, while preserving or enhancing cGMP manufacturing capability. Here we report the engineering of an anti-CD4 binding-site (CD4bs) bnAb, N49P9.3, purified from the plasma of an HIV elite-neutralizer. Through a series of rational modifications we produced a variant that demonstrates: enhanced potency; superior antiviral activity in combination with other bnAbs; low polyreactivity; and longer circulating half-life. Additional engineering for manufacturing produced a final variant, eN49P9, with properties conducive to cGMP production. Overall, these efforts demonstrate the feasibility of developing enhanced anti-CD4bs bnAbs with greatly improved antiviral properties as well as potential translational value.

bioengineering↗

AI-based antibody discovery platform identifies novel, diverse and pharmacologically active therapeutic antibodies against multiple SARS-CoV-2 strains

A critical aspect of a successful pandemic response is expedient antibody discovery, manufacturing and deployment of effective lifesaving treatments to patients around the world. However, typical drug discovery and development is a lengthy multi-step process that must align drug efficacy with multiple developability criteria and can take years to complete. In this context, artificial intelligence (AI), and especially machine learning (ML), have great potential to accelerate and improve the optimization of therapeutics, increasing their activity and safety as well as decreasing their development time and manufacturing costs. Here we present a novel, cost-effective and accelerated approach to therapeutic antibody discovery, that couples AI-designed human antibody libraries, biased for improved developability attributes with high throughput and sensitive screening technologies. The applicability of our platform for effective therapeutic antibody discovery is demonstrated here with the identification of a panel of human monoclonal antibodies that are novel, diverse and pharmacologically active. These first-generation antibodies, without the need for affinity maturation, bind to the SARS-CoV-2 spike protein with therapeutically-relevant specificity and affinity and display neutralization of SARS-CoV-2 viral infectivity across multiple strains. Altogether, this platform is well suited for rapid response to infectious threats, such as pandemic response. IMPORTANCEExpedient discovery and manufacturing of lifesaving therapeutics is critical for pandemic response. The recent COVID pandemic has highlighted the current inefficiencies and the need for improvements. To this end, we present our therapeutic antibody discovery platform that couples artificial intelligence (AI) and innovative high throughput technologies, and we demonstrate its applicability to rapid response. This platform enabled the isolation, characterization, and rapid identification of effective broadly neutralizing SARS-CoV-2 antibodies with good developability attributes, anticipated to fit our current process development and manufacturing platform. As such, this would benefit cost-of-goods and improve therapeutic access to patients. The AI-derived antibodies represent an advantageous therapeutic modality that can be developed and deployed fast, thus well suited for rapid response to infectious threats, such as pandemic response.

immunology↗

Patient-derived cancer organoid tracking with widefield one-photon redox imaging to assess treatment response

MotivationAccessible tools are needed for rapid, non-destructive imaging of patient-derived cancer organoid (PCO) treatment response to accelerate drug discovery and streamline treatment planning for individual patients. AimSegment and track individual PCOs with widefield one-photon redox imaging to extract morphological and metabolic variables of treatment response. ApproachRedox imaging of the endogenous fluorophores, NAD(P)H and FAD, was used to monitor the metabolic state and morphology of PCOs. Redox imaging was performed on a widefield one-photon epifluorescence microscope to evaluate drug response in two colorectal PCO lines. An automated image analysis framework was developed to track PCOs across multiple time points over 48 hours. Variables quantified for each PCO captured metabolic and morphological response to drug treatment, including the optical redox ratio and organoid area. ResultsThe optical redox ratio (NAD(P)H/(FAD+NAD(P)H)) was independent of PCO morphology pre-tieatment. Drugs that induced cell death decreased the optical redox ratio and growth rate compared to control. Multivariate analysis of redox and morphology variables identified distinct PCO sub-populations. Single-organoid tracking improved sensitivity to drug treatment compared to pooled organoid analysis. ConclusionWidefield one-photon redox imaging can monitor metabolic and morphological changes on a single organoid-level, providing an accessible, non-destructive tool to screen drugs in patient-matched samples.

bioengineering↗

The molecular basis for Pompe disease revealed by the structure of human acid α-glucosidase

Pompe disease results from a defect in human acid -glucosidase (GAA), a lysosomal enzyme that cleaves terminal 1-4 and 1-6 glucose from glycogen. In Pompe disease (also known as Glycogen Storage Disorder type II), the accumulation of undegraded glycogen in lysosomes leads to cellular dysfunction, primarily in muscle and heart tissues. Pompe disease is an active candidate of clinical research, with pharmacological chaperone therapy tested and enzyme replacement therapy approved. Despite production of large amounts of recombinant GAA annually, the structure of GAA has not been reported until now. Here, we describe the first structure of GAA, at 1.7[A] resolution. Three structures of GAA complexes reveal the molecular basis for the hundreds of mutations that lead to Pompe disease and for pharmacological chaperoning in the protein. The GAA structure reveals a surprising second sugar-binding site 34[A] from the active site, suggesting a possible mechanism for processing of large glycogen substrates. Overall, the structure will assist in the design of next-generation treatments for Pompe disease.

biochemistry↗