Massively parallel, computationally guided design of a proenzyme

Unleashing the Power of Proenzyme Delivery for Targeted Therapeutic Applications Using Biodegradable Lipid Nanoparticles

Proenzymes, functioning as inactive precursor forms of enzymes, hold significant promise for regulating essential biological processes. Their inherent property of latency, remaining inert until they arrive at the intended site of action, positions them as particularly promising candidates for the development of targeted therapeutics. Despite this potential, the therapeutic potential of proenzymes is challenged by designing proenzymes with excellent selectivity for disease cells. This limitation is further exacerbated by the inability of proenzymes to spontaneously cross the cell membrane, a biological barrier that impedes the cellular internalization of exogenous macromolecules. Therefore, efficacious intracellular delivery is paramount to unlocking the full therapeutic potency of proenzymes.In this Account, we first elucidate our recent advancements made in designing biodegradable lipid nanoparticles (LNPs) for the cell-specific delivery of biomacromolecules, including proteins and nucleic acids. Using a strategy of parallel synthesis, we have constructed an extensive library of ionizable lipids, each integrated with different biodegradable moieties. This combinatorial approach has led to the identification of LNPs that are particularly efficacious for the delivery of biomacromolecules specifically to tumor cells. This innovation capitalizes on the unique intracellular environment of cancer cells to control the degradation of LNPs, thereby ensuring the targeted release of therapeutics within tumor cells. Additionally, we discuss the structure-activity relationship governing the delivery efficacy of these LNPs and their applicability in regulating tumor cell signaling, specifically through the delivery of bacterial effector proteins.In the second segment, we aim to provide an overview of our recent contributions to the field of proenzyme design, where we have chemically tailored proteins to render them responsive to the unique milieu of tumor cells. Specifically, we elaborate on the chemical principles employed to modify proteins and DNAzymes, thereby priming them for activation in the presence of NAD(P)H:quinone oxidoreductase 1 (NQO1), an enzyme that is prevalently upregulated within tumor cells. We summarize the methodologies for intracellular delivery of these proenzymes using biodegradable LNPs, both in vitro and in vivo. The concomitant intracellular delivery and activation of proenzymes are examined in the context of enhanced therapeutic outcomes and targeted CRISPR/Cas9 genome editing.In conclusion, we offer a perspective on the chemical principles that could be leveraged to optimize LNPs for tissue-specific delivery of proenzymes. We also explore chemical strategies for the irreversible modulation of proenzyme activity within living cells and in vivo. Through this discussion, we provide insights into potential avenues for overcoming existing limitations and enhancing the delivery of proenzymes using LNPs, particularly for developing tumor-targeted therapies and genome editing applications.

A Bis(imidazole)-based cysteine labeling tool for metalloprotein assembly

Precise metal-protein coordination by design remains a considerable challenge. Polydentate, high-metal-affinity protein modifications, both chemical and recombinant, can enable metal localization. However, these constructs are often bulky, conformationally and stereochemically ill-defined, or coordinately saturated. Here, we expand the biomolecular metal-coordination toolbox with the irreversible attachment to cysteine of bis(1-methylimidazol-2-yl)ethene ("BMIE"), which generates a compact imidazole-based metal-coordinating ligand. Conjugate additions of small-molecule thiols (thiocresol and N-Boc-Cys) with BMIE confirm general thiol reactivity. The BMIE adducts are shown to complex the divalent metal ions Cu⁺⁺ and Zn⁺⁺ in bidentate (N₂) and tridentate (N₂S*) coordination geometries. Cysteine-targeted BMIE modification (>90% yield at pH 8.0) of a model protein, the S203C variant of carboxypeptidase G2 (CPG2), measured with ESI-MS, confirms its utility as a site-selective bioconjugation method. ICP-MS analysis confirms mono-metallation of the BMIE-modified CPG2 protein with Zn⁺⁺, Cu⁺⁺, and Co⁺⁺. EPR characterization of the BMIE-modified CPG2 protein reveals the structural details of the site selective 1:1 BMIE-Cu⁺⁺ coordination and symmetric tetragonal geometry under physiological conditions and in the presence of various competing and exchangeable ligands (H₂O/HO^-, tris, and phenanthroline). An X-ray protein crystal structure of BMIE-modified CPG2-S203C demonstrates that the BMIE modification is minimally disruptive to the overall protein structure, including the carboxypeptidase active sites, although Zn⁺⁺ metalation could not be conclusively discerned at the resolution obtained. The carboxypeptidase catalytic activity of BMIE-modified CPG2-S203C was also assayed and found to be minimally affected. These features, combined with ease of attachment, define the new BMIE-based ligation as a versatile metalloprotein design tool, and enable future catalytic and structural applications.

Strategies for Conditional Regulation of Proteins

Design of the next-generation of therapeutics, biosensors, and molecular tools for basic research requires that we bring protein activity under control. Each protein has unique properties, and therefore, it is critical to tailor the current techniques to develop new regulatory methods and regulate new proteins of interest (POIs). This perspective gives an overview of the widely used stimuli and synthetic and natural methods for conditional regulation of proteins.

Design of a dual-function agent by fusing a designed anti-VEGF-A binder and CPG-2 enzyme

Anti-VEGF therapies are common for the treatment of cancer. Carboxypeptidase G (CPG-2) enzyme is a zinc-dependent metalloenzyme that metabolizes non-toxic synthetic 'benzoic mustard prodrugs' to cytotoxic moieties in tumor cells. In this study, we designed a dual-activity agent by combining a designed anti-VEGF- and CPG-2 enzyme to convert methotrexate (MTX). VEGF-A was docked against a set of scaffolds, and suitable inverse rotamers were made. Rosetta design was used for the interface design. The top 1200 binders were chosen by flow cytometry and displayed in yeast. The activity of CPG-2 enzyme was analyzed at different temperature conditions and in the presence of the substrate, MTX. Optimal binders were selected and protein was eluted using immobilized metal affinity chromatography and size-exclusion chromatography. Both, native PAGE and on-yeast flow cytometry confirmed the binding of the binder to VEGF-A. The activity of truncated enzymes was slightly lower than that of full-length enzymes linked to VEGF-A. The method should be generally useful as a dual-activity agent for targeting VEGF-A and combination therapy with the enzyme CPG-2 for metabolizing non-toxic prodrugs to cytotoxic moieties.Communicated by Ramaswamy H. Sarma.

Engineering antibodies for conditional activity in the solid tumor microenvironment

Antibody-based therapeutics enjoy considerable clinical and commercial successes as cancer treatments. However, they can also cause serious toxicities due to recognition of tumor-associated antigens in noncancerous tissues, which can prevent antibody use in certain patient populations and therapeutic modalities. Here, we discuss recent efforts to develop advanced antibody therapeutics with activities restricted to the solid tumor microenvironment. With the intent of decreasing toxicities and expanding therapeutic windows, protein engineering strategies can render ligand binding sensitive to multiple tumor-specific characteristics. These triggers can be intrinsic to solid tumor microenvironments, such as low pH, high extracellular ATP, and the presence of specific proteases. Emerging strategies rely instead on exogenous triggers such as light and ultrasound to provide spatial and temporal control over antibody activation. These multilayered approaches to targeting diseased tissues are expected to usher in a new generation of precision therapeutics.

Forces Driving a Magic Bullet to Its Target: Revisiting the Role of Thermodynamics in Drug Design, Development, and Optimization

Drug discovery strategies have advanced significantly towards prioritizing target selectivity to achieve the longstanding goal of identifying “magic bullets” amongst thousands of chemical molecules screened for therapeutic efficacy. A myriad of emerging and existing health threats, including the SARS-CoV-2 pandemic, alarming increase in bacterial resistance, and potentially fatal chronic ailments, such as cancer, cardiovascular disease, and neurodegeneration, have incentivized the discovery of novel therapeutics in treatment regimens. The design, development, and optimization of lead compounds represent an arduous and time-consuming process that necessitates the assessment of specific criteria and metrics derived via multidisciplinary approaches incorporating functional, structural, and energetic properties. The present review focuses on specific methodologies and technologies aimed at advancing drug development with particular emphasis on the role of thermodynamics in elucidating the underlying forces governing ligand–target interaction selectivity and specificity. In the pursuit of novel therapeutics, isothermal titration calorimetry (ITC) has been utilized extensively over the past two decades to bolster drug discovery efforts, yielding information-rich thermodynamic binding signatures. A wealth of studies recognizes the need for mining thermodynamic databases to critically examine and evaluate prospective drug candidates on the basis of available metrics. The ultimate power and utility of thermodynamics within drug discovery strategies reside in the characterization and comparison of intrinsic binding signatures that facilitate the elucidation of structural–energetic correlations which assist in lead compound identification and optimization to improve overall therapeutic efficacy.