Affinity Ligand Research Articles

Inference and design of antibody specificity: From experiments to models and back.

Exquisite binding specificity is essential for many protein functions but is difficult to engineer. Many biotechnological or biomedical applications require the discrimination of very similar ligands, which poses the challenge of designing protein sequences with highly specific binding profiles. Experimental methods for generating specific binders rely on in vitro selection, which is limited in terms of library size and control over specificity profiles. Additional control was recently demonstrated through high-throughput sequencing and downstream computational analysis. Here we follow such an approach to demonstrate the design of specific antibodies beyond those probed experimentally. We do so in a context where very similar epitopes need to be discriminated, and where these epitopes cannot be experimentally dissociated from other epitopes present in the selection. Our approach involves the identification of different binding modes, each associated with a particular ligand against which the antibodies are either selected or not. Using data from phage display experiments, we show that the model successfully disentangles these modes, even when they are associated with chemically very similar ligands. Additionally, we demonstrate and validate experimentally the computational design of antibodies with customized specificity profiles, either with specific high affinity for a particular target ligand, or with cross-specificity for multiple target ligands. Overall, our results showcase the potential of leveraging a biophysical model learned from selections against multiple ligands to design proteins with tailored specificity, with applications to protein engineering extending beyond the design of antibodies.

The chromatin remodeler SMARCA5 binds to d-block metal supports: Characterization of affinities by IMAC chromatography and QM analysis.

The ISWI family protein SMARCA5 contains the ATP-binding pocket that coordinates the catalytic Mg2+ ion and water molecules for ATP hydrolysis. In this study, we demonstrate that SMARCA5 can also possess an alternative metal-binding ability. First, we isolated SMARCA5 on the cobalt column (IMAC) to near homogeneity. Examination of the interactions of SMARCA5 with metal-chelating supports showed that, apart from Co2+, it binds to Cu2+, Zn2+ and Ni2+. The efficiency of the binding to the last-listed metal was influenced by the chelating ligand, resulting in a strong preference for Ni-NTA over the Ni-CM-Asp equivalent. To gain insight in the preferential affinity for the Ni-NTA ligand, QM calculations were performed on model systems and metal-ligand complexes with a limited protein fragment of SMARCA5 containing the double-histidine (dHis) motif. The calculations correlated the observed affinity with the relative stability of the d-block metals to tetradentate ligand coordination over tridentate, as well as their overall octahedral coordination capacity. Likewise, binding free energies derived from model imidazole complexes mirrored the observed Ni-NTA/Ni-CM-Asp preferential affinity. Finally, similar calculations on complexes with a SMARCA5 peptide fragment derived from the AlphaFold structural prediction, captured almost accurately the expected relative stability of the TM complexes, and produced a large energetic separation (~10 kcal∙mol-1) between Ni-NTA and Ni-CM-Asp in favour of the former.

Cheminformatic evaluation of the multi-protein binding potential of some diselenide derivatives: A plausible drug discovery approach for leishmaniasis

Over twelve million individuals worldwide suffer from leishmaniasis, and an additional billion people are at risk in places where the disease is prevalent. This work was motivated by the lack of vaccination against leishmaniasis and the shortcomings of current anti-leishmanial treatments. Large compound libraries can be screened using computational methods, which can also be used to analyze pharmacokinetic features, explore protein–ligand interactions, and quickly, accurately, and precisely create novel pharmacological entities. Virtual docking screening was performed to assess the multi-protein targeting capability of certain diselenides using four Leishmania protein targets—2XOX, 3SPX, 5ZWY, and 6K91. Following the Lipinski filter's screening of a subset of analogues, density functional theory (DFT), molecular dynamics (MD) simulation analysis, and ADMET profiles were used to profile the lead compounds. The overall average binding affinity of ligands to target proteins is as follows: 3SPX (− 184.998 kcal/mol) > 6K91 (− 180.114 kcal/mol) > 2XOX (− 176.581 kcal/mol) > 5ZWY (− 157.198 kcal/mol). The focus is on ligands that target all investigated proteins with binding scores greater than the average binding scores for the proteins as a whole for which seven compounds were identified that also showed higher MolDock scores than both reference drugs (Miltefosine and Pentamidine). Further screening showed four compounds (4, 7, 25, and 26) passed Lipinski’s test, making them orally bioavailable with excellent ADMET properties that compared well to both reference medications. The DFT analysis and MD simulation results indicate these compounds' favorability, stability, and reactivity in binding to the studied targets, 3SPX and 6K91 with 25_3SPX and 4_6K91 showing the highest binding free energy (MM-GBSA) of − 88.35 kcal/mol and − 90.29 kcal/mol respectively. Conclusively, the chosen diselenides could be developed as prospective anti-leishmanial pharmacological compounds or as useful scaffolds for creating more potent anti-leishmanial drugs.

Reversal of insulin resistance to combat type 2 diabetes mellitus by newer thiazolidinedione's in fructose induced insulin resistant rats

In our pursuit of discovering new antidiabetic agents to manage type 2 diabetes mellitus (T2DM), our approach aimed to identify the bioactive feature/pharmacophore responsible for PPAR-γ expression, as it is accountable for the glucose homeostasis and lipid metabolism. This was achieved by pharmacophore model generation, screening of rationally designed newer thiazolidinedione's library, identifying synthesizing and characterizing the top ten molecules (5a-5j) for their (Invitro &invivo) antidiabetic activity. Preliminary screening of all the ligands by Invitro glucose uptake assay in L6 myotubes (skeletal muscle cell line of rats) revealed compound 5b and 5f stimulated the glucose uptake with 79.29 ± 1.02 % and 74.58 ± 1.02 % respectively compared to pioglitazone with 82.36 ± 0.98 %. This was validated by PPAR-γ TF expression assay, which highlighted a dose dependent increase in transactivation of PPAR-γ. These compounds 5b and 5f were evaluated in fructose induced insulin resistance rat model. Where the treatment with 5b and 5f markedly increased the exogenous clearance of glucose and exogenous insulin via OGTT and ITT respectively, also improved the glucose utilization by significantly increasing content of glycogen and uptake of glucose in rat hemidiaphragm and reversed insulin resistance. Likewise a significant decreased in the VLDL and triglyceride levels was seen in 5b and 5f treated groups compared to insulin resistant (IR) group. It improved glycogenesis by catabolism of glucose and maintained glycaemic control. Similarly it had marked action on enzymatic oxidative biomarkers. Compound 5b displayed better, improved T1/2 (half-life) of 4.21 h and Kel (elimination constant) of 0.381 was noticed in comparison to compound 5f indicating the pharmacokinetic profile. Insilico studies like DFT calculations refined the geometry of 5b and 5f ligands, docking and molecular simulation provided the insights in binding affinity, dynamic behaviour and stability of ligands in PPAR-γ ligand binding domain. MM/GBSA provided the energetics of 5b and 5f in binding pocket. Finally network pharmacology identified ADIPOQ (adiponectin), NR1C3 (PPAR-γ), SLC2A4 (GLUT4), and LEP (leptin) proteins associate with compound 5b and 5f and enriched in Adipocytokine pathway, and PPAR-γ signaling pathway.

Coarse-Graining the Recognition of a Glycolipid by the C-Type Lectin Mincle Receptor.

Macrophage inducible Ca2+-dependent lectin (Mincle) receptor recognizes Mycobacterium tuberculosis glycolipids to trigger an immune response. This host membrane receptor is thus a key player in the modulation of the immune response to infection by M. tuberculosis and has emerged as a promising target for the development of new vaccines against tuberculosis. The recent development of the Martini 3 force field for coarse-grained (CG) molecular modeling allows the study of interactions of soluble proteins with small ligands which was not typically modeled well with the previous Martini 2 model. Here, we present a refined approach detailing a protocol for modeling interactions between a glycolipid and its receptor at a CG level using the Martini 3 force field. Using this approach, we studied Mincle and identified critical parameters governing ligand recognition, such as loop flexibility and the regulation of hydrophobic groove formation by calcium ions. In addition, we assessed ligand affinity using free energy perturbation calculations. Our results offer mechanistic insight into the interactions between Mincle and glycolipids, providing a basis for the rational design of molecules targeting this type of membrane receptors.

1H-1,2,3-triazol-1,4-naphthoquinone Derivatives: Novel Inhibitors Targeting Pyocyanin Biosynthesis for P. Aeruginosa Infection Treatment Advances.

This study investigates the potential of eleven 1H-1,2,3-triazol-1,4-naphthoquinone conjugates as virulence factor inhibitors (like Pyocyanin) and their affinity for PhzM, a crucial enzyme for Pyocyanin biosynthesis in Pseudomonas aeruginosa infections. A straightforward synthetic pathway enabled the production of these compounds, which were characterized and structurally confirmed through spectroscopic analyses. Evaluation of their impact on PhzM thermal stability identified promising candidates for PhzM binders. Concentration-response behavior elucidated their binding affinity, revealing them as the first reported micromolar affinity ligands for PhzM. Structure-activity relationship analysis emphasized the role of specific molecular moieties in binding affinity modulation, paving the way for future advanced inhibitors' development. These findings highlight the potential of naphthoquinone-triazole derivatives as leads for novel therapeutics against P. aeruginosa infections.

Identification and Activity Study of an Impurity Band Observed in the nrSDS-PAGE of Aflibercept.

Aflibercept is a biopharmaceutical targeting vascular endothelial growth factor (VEGF) that has shown promise in the treatment of neovascular age-related macular degeneration (nAMD) and diabetic macular edema (DME) in adults. Quality control studies of aflibercept employing non-reduced SDS-PAGE (nrSDS-PAGE) have shown that a significant variant band (IM1) is consistently present below the main band. Considering the quality control strategy of biopharmaceuticals, structural elucidation and functional studies are required. In this study, the variant bands in nrSDS-PAGE were collected through electroelution and identified by peptide mass fingerprinting based on liquid chromatography-tandem MS (LC-MS/MS). This variant was expressed using knob-into-hole (KIH) design transient transfection for the detection of ligand affinity, binding activity and biological activity. The variant band was formed by C-terminal truncation at position N99 of one chain in the aflibercept homodimer. Then, this variant was successfully expressed using KIH design transient transfection. The ligand affinity of the IM1 truncated variant was reduced by 18-fold, and neither binding activity nor biological activity were detected. The efficacy of aflibercept is influenced by the loss of biological activity of the variant. Therefore, this study supports the development of a quality control strategy for aflibercept.

Peptide ligands for the affinity purification of adenovirus from HEK293 and vero cell lysates

Adenovirus (AdVs) is the viral vector of choice in vaccines and oncolytic applications owing to its high transduction activity and inherent immunogenicity. For decades, AdV isolation has relied on ultracentrifugation and ion-exchange chromatography, which are not suitable to large-scale production and struggle to deliver sufficient purity. Immunoaffinity chromatography resins of recent introduction feature high binding capacity and selectivity, but mandate harsh elution conditions (pH 3.0), afford low yield (< 20%), and provide limited reusability. Seeking a more efficient and affordable alternative, this study introduces the first peptide affinity ligands for AdV purification. The peptides were identified via combinatorial selection and in silico design to target hexons, the most abundant proteins in the adenoviral capsid. Selected peptide ligands AEFFIWNA and TNDGPDYSSPLTGSG were conjugated on chromatographic resins and utilized to purify AdV serotype 5 from HEK293 and Vero cell lysates. The peptide-functionalized resins feature high binding capacity (> 1010 active virions per mL at the residence time of 2 min), provide high yield (> 50%) and up to 100-fold reduction of host cell proteins and DNA. Notably, the peptide ligands enable gentle elution conditions (pH 8) that prevent the “shedding” of penton and fiber proteins, thus affording intact adenovirus particles with high cell-transduction activity. The study of the peptide ligands by surface plasmon resonance and molecular docking and dynamics simulations confirmed the selective targeting of hexon proteins and elucidated the molecular-level mechanisms underlying binding and release. Collectively, these results demonstrate the strong promise of peptide ligands presented herein for the affinity purification of AdVs from cell lysates.

Unravelling the genetic landscape of cervical insufficiency: Insights into connective tissue dysfunction and hormonal pathways

Background The intricate molecular pathways and genetic factors that underlie the pathophysiology of cervical insufficiency (CI) remain largely unknown and understudied. Methods We sequenced exomes from 114 patients in Latvia and Lithuania, diagnosed with a short cervix, CI, or a history of CI in previous pregnancies. To probe the well-known link between CI and connective tissue dysfunction, we introduced a connective tissue dysfunction assessment questionnaire, incorporating Beighton and Brighton scores. The phenotypic data obtained from the questionnaire was correlated with the number of rare damaging variants identified in genes associated with connective tissue disorders (in silico NGS panel). SKAT, SKAT-O, and burden tests were performed to identify genes associated with CI without a priori hypotheses. Pathway enrichment analysis was conducted using both targeted and genome-wide approaches. Results No patient could be assigned monogenic connective tissue disorder neither genetically, neither clinically upon clinical geneticist evaluation. Expanding our exploration to a genome-wide perspective, pathway enrichment analysis replicated the significance of extracellular matrix-related pathways as important contributors to CI’s development. A genome-wide burden analysis unveiled a statistically significant prevalence of rare damaging variants in genes and pathways associated with steroids (p-adj = 5.37E-06). Rare damaging variants, absent in controls (internal database, n = 588), in the progesterone receptor (PGR) (six patients) and glucocorticoid receptor (NR3C1) (two patients) genes were identified within key functional domains, potentially disrupting the receptors’ affinity for DNA or ligands. Conclusion Cervical insufficiency in non-syndromic patients is not attributed to a single connective tissue gene variant in a Mendelian fashion but rather to the cumulative effect of multiple inherited gene variants highlighting the significance of the connective tissue pathway in the multifactorial nature of CI. PGR or NR3C1 variants may contribute to the pathophysiology of CI and/or preterm birth through the impaired progesterone action pathways, opening new perspectives for targeted interventions and enhanced clinical management strategies of this condition.

Mathematical consideration of massive estimation of dissociation rate constant for genotype–phenotype linking molecules bound to targets through washing/selection and next-generation sequencing

As one of methods for in vitro selection, a flow reactor type washing/selection system seems to be effective, where a ligand library is composed of “genotype–phenotype linking molecules”. In this system, high affinity ligands are selected by their respective “residual ratio” given by exp(−koff×t), where koff is the dissociation rate constant and t is the washing time. In this paper, we mathematically considered the following possibility. When the washing/selection dynamics obeys the residual ratio exp(−koff×t) deterministically and mole fraction measurement for sampled sequences by next-generation sequencing (NGS) is performed ideally, the “relative value” of koff for each of high-ranking sequences can be estimated simultaneously. In addition to these, when the residual ratio for the whole ligand population is measured correctly, the “absolute value” for each sequence can be estimated. We deduced formulas to present the relative and absolute estimates, and mathematically analyzed the effect of fluctuations in the number of NGS reads on the estimates in details. These were confirmed by numerical simulations.

Machine learning-augmented molecular dynamics simulations (MD) reveal insights into the disconnect between affinity and activation of ZTP riboswitch ligands.

The challenge of targeting RNA with small molecules necessitates a better understanding of RNA-ligand interaction mechanisms. However, the dynamic nature of nucleic acids, their ligand-induced stabilization, and how conformational changes influence gene expression pose significant difficulties for experimental investigation. This work employs a combination of computational and experimental methods to address these challenges. By integrating structure-informed design, crystallography, and machine learning-augmented all-atom molecular dynamics simulations (MD) we synthesized, biophysically and biochemically characterized, and studied the dissociation of a library of small molecule activators of the ZTP riboswitch, a ligand-binding RNA motif that regulates bacterial gene expression. We uncovered key interaction mechanisms, revealing valuable insights into the role of ligand binding kinetics on riboswitch activation. Further, we established that ligand on-rates determine activation potency as opposed to binding affinity and elucidated RNA structural differences, which provide mechanistic insights into the interplay of RNA structure on riboswitch activation.

Unanticipated mechanisms of covalent inhibitor and synthetic ligand cobinding to PPARγ.

Peroxisome proliferator-activated receptor gamma (PPARγ) is a nuclear receptor transcription factor that regulates gene expression programs in response to ligand binding. Endogenous lipids and synthetic ligands, including covalent antagonist inhibitors such as GW9662 and T0070907, are thought to compete for the orthosteric pocket in the ligand-binding domain (LBD). However, we previously showed that synthetic PPARγ ligands can cooperatively cobind with and reposition a bound endogenous orthosteric ligand to an alternate site, synergistically regulating PPARγ structure and function (Shang et al., 2018). Here, we reveal the structural mechanism of cobinding between a synthetic covalent antagonist inhibitor with other synthetic ligands. Biochemical and NMR data show that covalent antagonist inhibitors weaken-but do not prevent-the binding of other synthetic ligands via an allosteric mechanism rather than direct ligand clashing. The covalent ligands shift the LBD ensemble toward a transcriptionally repressive conformation, which structurally clashes with and reduces the orthosteric binding affinity of non-covalent synthetic ligands. Crystal structures reveal different non-covalent synthetic ligand-specific cobinding mechanisms ranging from alternate site binding to unexpectedly adopting an orthosteric binding mode by altering the covalent ligand binding pose. Our findings not only highlight the significant flexibility of the PPARγ orthosteric pocket and its ability to accommodate multiple ligands simultaneously, but also demonstrate that GW9662 and T0070907 should not be used as reliable chemical tools to inhibit the binding of other ligands to PPARγ.

Scission-Enhanced Molecular Imaging (SEMI).

Positron emission tomography (PET) imaging methods have advanced our understanding of human biology, while targeted radiotherapeutic drug treatments are now routinely used clinically. The field is expected to grow considerably based on an expanding repertoire of available affinity ligands, radionuclides, conjugation chemistries, and their FDA approvals. With this increasing use, strategies for dose reduction have become of high interest to protect patients from unnecessary and off-target toxicity. Here, we describe a simple and powerful method, scission-enhanced molecular imaging (SEMI). The technique allows for rapid corporeal elimination of radionuclides once imaging or theranostic treatment is completed and relies on "click-to-release" bioorthogonal linkers.

Lessons learned during the journey of data: from experiment to model for predicting kinase affinity, selectivity, polypharmacology, and resistance.

Recent advances in machine learning (ML) are reshaping drug discovery. Structure-based ML methods use physically-inspired models to predict binding affinities from protein:ligand complexes. These methods promise to enable the integration of data for many related targets, which addresses issues related to data scarcity for single targets and could enable generalizable predictions for a broad range of targets, including mutants. In this work, we report our experiences in building KinoML, a novel framework for ML in target-based small molecule drug discovery with an emphasis on structure-enabled methods. KinoML focuses currently on kinases as the relative structural conservation of this protein superfamily, particularly in the kinase domain, means it is possible to leverage data from the entire superfamily to make structure-informed predictions about binding affinities, selectivities, and drug resistance. Some key lessons learned in building KinoML include: the importance of reproducible data collection and deposition, the harmonization of molecular data and featurization, and the choice of the right data format to ensure reusability and reproducibility of ML models. As a result, KinoML allows users to easily achieve three tasks: accessing and curating molecular data; featurizing this data with representations suitable for ML applications; and running reproducible ML experiments that require access to ligand, protein, and assay information to predict ligand affinity. Despite KinoML focusing on kinases, this framework can be applied to other proteins. The lessons reported here can help guide the development of platforms for structure-enabled ML in other areas of drug discovery.

Burkholderia cenocepacia epigenetic regulator M.BceJIV simultaneously engages two DNA recognition sequences for methylation

Burkholderia cenocepacia is an opportunistic and infective bacterium containing an orphan DNA methyltransferase called M.BceJIV with roles in regulating gene expression and motility of the bacterium. M.BceJIV recognizes a GTWWAC motif (where W can be an adenine or a thymine) and methylates N6 of the adenine at the fifth base position. Here, we present crystal structures of M.BceJIV/DNA/sinefungin ternary complex and allied biochemical, computational, and thermodynamic analyses. Remarkably, the structures show not one, but two DNA substrates bound to the M.BceJIV dimer, with each monomer contributing to the recognition of two recognition sequences. We also show that methylation at the two recognition sequences occurs independently, and that the GTWWAC motifs are enriched in intergenic regions in the genomes of B. cenocepacia strains. We further computationally assess the interactions underlying the affinities of different ligands (SAM, SAH, and sinefungin) for M.BceJIV, as a step towards developing selective inhibitors for limiting B. cenocepacia infection.

Multiplexed and Quantitative Imaging of Live‐Cell Membrane Proteins by a Precise and Controllable DNA‐Encoded Amplification Reaction

AbstractAmplifying DNA conjugated affinity ligands can improve the sensitivity and multiplicity of cell imaging and play a crucial role in comprehensively deciphering cellular heterogeneity and dynamic changes during development and disease. However, the development of one‐step, controllable, and quantitative DNA amplification methods for multiplexed imaging of live‐cell membrane proteins is challenging. Here, we introduce the template adhesion reaction (TAR) method for assembling amplifiable DNA sequences with different affinity ligands, such as aptamers or antibodies, for amplified and multiplexed imaging of live‐cell membrane proteins with high quantitative fidelity. The precisely controllable TAR enables proportional amplification of membrane protein targets with variable abundances by modulating the concentration ratios of hairpin templates and primers, thus allowing sensitive visualization of multiple membrane proteins with enhanced signal‐to‐noise ratios (SNRs) without disturbing their original ratios. Using TAR, we achieved signal‐enhanced imaging of six proteins on the same live‐cell within 1–2 h. TAR represents an innovative and programmable molecular toolkit for multiplexed profiling of membrane proteins in live‐cells.

Multiplexed and Quantitative Imaging of Live-Cell Membrane Proteins by a Precise and Controllable DNA-Encoded Amplification Reaction.

Amplifying DNA conjugated affinity ligands can improve the sensitivity and multiplicity of cell imaging and play a crucial role in comprehensively deciphering cellular heterogeneity and dynamic changes during development and disease. However, the development of one-step, controllable, and quantitative DNA amplification methods for multiplexed imaging of live-cell membrane proteins is challenging. Here, we introduce the template adhesion reaction (TAR) method for assembling amplifiable DNA sequences with different affinity ligands, such as aptamers or antibodies, for amplified and multiplexed imaging of live-cell membrane proteins with high quantitative fidelity. The precisely controllable TAR enables proportional amplification of membrane protein targets with variable abundances by modulating the concentration ratios of hairpin templates and primers, thus allowing sensitive visualization of multiple membrane proteins with enhanced signal-to-noise ratios (SNRs) without disturbing their original ratios. Using TAR, we achieved signal-enhanced imaging of six proteins on the same live-cell within 1-2 h. TAR represents an innovative and programmable molecular toolkit for multiplexed profiling of membrane proteins in live-cells.

Electrodeposition of Au Nanowires via Amine Ligand-Induced Active Surface Growth.

Amine ligands have been widely applied as morphology-directing reagents in nanostructure synthesis. In this work, we explored the application of the amine ligands in the active surface growth mechanism in place of the strong thiolated ligands. Despite being weaker compared to the thiols, amine ligands such as aniline were also shown to be capable of facilitating the template-less electrodeposition of Au nanowires (NWs) on the substrate via the active surface growth mechanism. Given the close binding difference between the amine-grafted substrate and the ligands, substrate functionalization becomes critically important for effective construction of the active surface and the growth of the nanowires. Additionally, the growth with the amine ligands took place at more positive reduction potentials and is less prone to splitting and bundle formation. A systematic generality study revealed that besides the aromatic amines, long-chain aliphatic amines were also capable of facilitating nanowire growth. Given the weak binding affinity of the amine ligands, the Au NWs are readily accessible for further processing to generate sophisticated one-dimensional structures. As a demonstration, tandem electrodeposition was performed to directly obtain coaxial core-shell Au@Pt NWs with adjustable length, diameter, and shell thickness.

Preparation, Characterization, DFT Calculations, biological evaluations and Molecular docking studies of benzimidazolium-based N-heterocyclic carbenes and selenium-adducts

This study involves designing through DFT, synthesis, and characterization of three benzimidazolium salts (AL1-AL3) and their corresponding selenium adducts (AC1-AC3). The compounds were characterized theoretically as well as experimentally through FT-IR and 1H &13C NMR. Theoretical calculations were performed using the B3LYP/6–31 G (d, p) levels of theory to determine various optical and chemical properties of the designed molecules. The HOMO/LUMO energies and their energy gaps were also calculated to assess the structure–activity relationships. In vitro testing against the Human breast Adenocarcinoma cell line (MCF-7) was conducted using the MTT assay and 5-Fluorouracil (standard) was used for the comparison of results. The ligand AL3 showed maximum inhibitory potential (66.51 ± 0.82) even approaching the standard 5FU while the complex AC3 showed maximum viability with the least inhibition value as (21.7 ± 0.73) against MCF7 cell line. The antioxidant potential for scavenging DPPH radicals was also assessed, revealing that AL1 has the greatest potential, with a value of 62.01 ± 0.9. The interactions of the complexes with various proteins were also assessed via molecular docking studies, revealing strong binding energies and ligand affinities towards angiogenic factors such as VEGF-A, EGF, HIF, and COX-1. This suggests that the anticancer activities of the complexes AC1-AC3 may be attributed to their potent anti-angiogenic effects. Moreover, selenium-NHC adducts exhibited more significant anticancer potential as compared to their ligands. Furthermore, the antibacterial and antifungal potential of compounds AC1-AC3 was assessed. Notably, the ligand AL2 exhibited significant antibacterial activity against E. coli, as evidenced by a zone of inhibition (ZI) value of 17.5 ± 0.29 mm, whereas AL3 demonstrated the highest activity against P. multocida showing the ZOI value of 18.5 ± 0.38. Among all the synthesized compounds, AL1 displayed the most significant antifungal activity against F. avenaceum (27 ± 0.51 mm), surpassing even the standard drug gentamycin (13 ± 0.23 mm), which was tested under the same conditions. However, its corresponding Se-NHC, AC1, adduct was found to be inactive. Overall, AL3 and its corresponding Se-NHC adduct (AC3), demonstrated superior biological potential against the majority of the tested strains.

Serotype-agnostic affinity purification of adeno-associated virus (AAV) via peptide-functionalized chromatographic resins

Adeno-associated viruses (AAVs) have emerged as a prominent family of vectors for gene delivery, providing therapeutic options to diseases once deemed incurable. At the same time, they necessitate efficient and affordable purification methods that can be platformed to serve all AAV serotypes. Current chromatographic tools, while affording high product purity, fail to bind certain serotypes, provide limited yield and lifetime, and impose harsh elution conditions that can compromise the vector's activity and safety. Addressing these challenges, this work demonstrates the application of new peptide ligands as the first serotype-agnostic technology for AAV purification by affinity chromatography. Our study reveals a pH-dependent affinity interaction: AAV2, AAV3, AAV6, AAV9, and AAVrh.10 are effectively captured at neutral pH, while binding AAV1, AAV5, AAV7, and AAV8 is stronger in a slightly acidic environment. The elution of bound AAVs was achieved using magnesium chloride at neutral pH for all serotypes, consistently affording capsid yields above 50% and genome yields above 80%, together with a >100-fold reduction in host cell proteins and nucleic acids. In particular, peptide ligand A10 exhibited remarkable binding capacity (> 1014 vp per mL of resin) and purification performance for all AAV serotypes, demonstrating broad applicability for gene therapy manufacturing. Finally, this work introduces novel alkaline-stable variants of A10 and demonstrates their use as the first affinity ligands capable of performing multiple cycles of AAV2, AAV8, and AAV9 purification with intermediate caustic cleaning without loss of capacity or product quality. Collectively, these results demonstrate the promise of this technology to further the impact and affordability of gene therapy.