Ligand Screening Research Articles

Improved Prediction of Ligand-Protein Binding Affinities by Meta-modeling.

The accurate screening of candidate drug ligands against target proteins through computational approaches is of prime interest to drug development efforts. Such virtual screening depends in part on methods to predict the binding affinity between ligands and proteins. Many computational models for binding affinity prediction have been developed, but with varying results across targets. Given that ensembling or meta-modeling approaches have shown great promise in reducing model-specific biases, we develop a framework to integrate published force-field-based empirical docking and sequence-based deep learning models. In building this framework, we evaluate many combinations of individual base models, training databases, and several meta-modeling approaches. We show that many of our meta-models significantly improve affinity predictions over base models. Our best meta-models achieve comparable performance to state-of-the-art deep learning tools exclusively based on 3D structures while allowing for improved database scalability and flexibility through the explicit inclusion of features such as physicochemical properties or molecular descriptors. We further demonstrate improved generalization capability by our models using a large-scale benchmark of affinity prediction as well as a virtual screening application benchmark. Overall, we demonstrate that diverse modeling approaches can be ensembled together to gain meaningful improvement in binding affinity prediction.

Development of an immobilized Mycobacterium tuberculosis purine nucleoside phosphorylase platform for ligand fishing and inhibition assays

Purine nucleoside phosphorylase (PNP) from Mycobacterium tuberculosis (MtPNP) plays a crucial role in purine metabolism, making it an attractive target for developing new tuberculosis treatments. In this study, we developed a ligand screening platform using MtPNP covalently immobilized on magnetic particles (MtPNP-MPs). The immobilization process achieved a high enzyme loading and preserved the enzyme catalytic activity, enabling its use in both activity and affinity-based screening assays. The activity of MtPNP-MPs was monitored by quantifying hypoxanthine released from inosine phosphorolysis, and kinetic studies revealed Michaelis-Menten behavior for inosine and inorganic phosphate substrates, with KM values comparable to those of free MtPNP. A proof-of-concept inhibitor study using the transition state analog DI4G demonstrated the platform capability for recognizing and characterizing inhibitors, yielding an IC50 value of 91.4 nM and a competitive inhibition mechanism with a Ki of 69.2 nM. Furthermore, the MtPNP-MPs exhibited high stability, retaining over 80 % of their activity after six months of storage and more than 90 % after five consecutive reaction cycles, highlighting their potential for reuse in high-throughput assays. We optimized key parameters for ligand fishing assay, including the amount of MtPNP-MPs, incubation time, and elution conditions. While higher organic solvent concentrations and longer elution times improved ligand isolation, these conditions also reduced enzyme activity. This trade-off between ligand isolation yield and enzyme reusability suggests that elution conditions should be tailored based on the ligand binding strength. Overall, this study establishes the MtPNP-MPs platform as a versatile tool for ligand identification and inhibitor characterization, with promising applications in the screening of complex libraries, such as natural products, for bioactive compounds.

A Biolayer Interferometry-Based SARS-COV-2 Mpro-Targeted Active Ingredients Recognition System: Construction and Application in Ligand Screening From Herbal Medicines.

Drug discovery research targeting SARS-CoV-2 and other emerging pathogens remains critically important. Active compounds derived from plants frequently serve as lead compounds for further drug discovery; however, numerous unrelated chemical constituents in crude extracts may obscure the effective ingredients in LC-MS analysis. The aim of this study is to construct a biolayer interferometry (BLI)-based system for recognizing active ingredients that inhibit the main protease (Mpro) of SARS-CoV-2 and to identify the active chemical components binding to Mpro from herbal medicines. We developed a novel FRET fluorogenic probe by linking the amino acid sequences of the fluorescent proteins Lssmorange and mKate2 (Ls-mK). The interaction between traditional Chinese medicine and Mpro was analyzed using BLI. Ultrahigh performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) was employed to analyze the composition of herbal medicines. Fluorescence detection and spectroscopy confirmed the successful construction of an Mpro inhibitor screening system. Lanqin Oral Liquid (LQL) and Gardeniae fructus exhibited strong inhibitory effects on Mpro. Ten compounds were identified from G. fructus extracts; among them, deacetyl asperulosidic acid methyl ester (DAAME) and Gardoside were found to strongly bind to Mpro, with dissociation constants (KD) of 3.41 μM and 801 nM, respectively. The half-maximal inhibitory concentrations (IC50) of DAAME and Gardoside for Mpro were 27.46 and 13.7 μM, respectively. This study established a functional Mpro inhibitor screening system. Among the 10 components identified from G. fructus that bind to Mpro, DAAME and Gardoside displayed strong binding and inhibitory activity, indicating their potential as lead compounds for inhibiting SARS-CoV-2 viral replication.

Expedited Aminoglutarimide C-N Cross-Coupling Enabled by High-Throughput Experimentation.

A simple protocol for the Buchwald-Hartwig cross-coupling of (hetero)aryl halides with unprotected aminoglutarimide to afford diverse cereblon binding motifs is disclosed. The development of this C-N cross-coupling method was enabled by high-throughput combinatory screening of solvents, bases, temperatures, and ligands. Scope studies revealed generality across various heteroaryl and aryl halides with the reaction proceeding under mild conditions. In comparison, this method demonstrated strategic superiority over previously reported approaches, as evidenced by a significant decrease in step count from known syntheses in the patent literature.

Stable and Minimum Size Solubilization of Membrane Proteins with Cocktails of Phospholipid Analogues.

Membrane proteins (MPs) play important roles in various cellular processes and are major targets for drugs. Solubilization of MPs is often needed for structural and biophysical studies. For high-resolution nuclear magnetic resonance measurements, there is a size limit of the sample (<100 kDa), and a high thermal stability at an increased temperature is required. Furthermore, lipid bilayer-like environments are desirable to preserve the native states of MPs. However, existing solubilization techniques do not fulfill these requirements at the same time. In this study, we combined two phospholipid analogues as a solubilizer and stabilizer to isolate MPs. This method maintained bacteriorhodopsin (bR) extracted from purple membranes in its native state for 7 d at 40 °C. The solubility was comparable to that of conventional detergents for MPs, and the thermal stability of the solubilizate was the best among them. The increase in the molecular size caused by the solubilization of bR was only 20 kDa, indicating that 20 phospholipid analogue molecules were sufficient to solubilize one bR molecule. 15N-1H heteronuclear single quantum coherence spectra of solubilized 2H- and 15N-labeled bR gave ∼80% of the expected peaks. In addition, the lysate of human neuropeptide Y2 receptor-expressing mammalian cells exhibited ligand recognition for 7 d at 37 °C, suggesting that this technique can be used for ligand screening. Moreover, the structure of the single membrane-spanning M2 protein of the influenza A virus expressed in Escherichia coli was stably maintained for 7 d at 40 °C. Thus, our method is promising for various MP studies.

Rational drug design targeting g-protein-coupled receptors: a structural biology perspective

G protein-coupled Receptors (G protein-coupled Receptors, GPCRs) play a key role in the transmission of extracellular signals and regulation of many biological processes, which makes these membrane proteins one of the most important classes of targets for pharmacological agents. The significant increase in the number of atomic structures of GPCRs recently has paved the way for Structure Based Drug Design (SBDD). SBDD uses information on the structure of the receptor-ligand complex to search for affinity and selective ligands without the need for high-throughput experimental ligand screening and allows a significant expansion of the chemical ligand search space. In our review we describe the process of GPCR structure obtaining by X-ray diffraction analysis and cryo-electron microscopy (cryo-EM) – an important step in rational drug design targeting GPCRs. Our main goal is to highlight to a wide range of specialists the current aspects and key features of experimental structural biology methods necessary for a detailed understanding of SBDD GPCRs.

Exploring Brazilian Natural Products as Potential Bioactive Compounds against Trypanosoma cruzi by Targeting Squalene Synthase

Introduction: Chagas disease is a neglected disease caused by the protozoan Trypanosoma cruzi that affects 7 million people worldwide. The current treatment is limited due to safety and efficacy issues. Therefore, the search for new antiparasitic drugs is fundamental. The enzyme squalene synthase (SQS) is an attractive therapeutic target since it participates in the ergosterol biosynthesis pathway. Objective: In the present study, we explored the Brazilian biodiversity to search for potential inhibitors of T. cruzi SQS (TcSQS) using ligand and structure-based virtual screening strategies. Materials and Methods: A virtual screening was performed within the NUBBE database, with more than 2,200 natural products (NP) or semisynthetic derivatives from the Brazilian biodiversity. Molecular docking and ADMET predictions were then performed. Results: A set of 12 NP showed interactions with TcSQS like those observed by known inhibitors and shared literature evidence that supports the predicted activity. Conclusion: Three compounds (flavonoids) showed good ADMET properties as potential inhibitors of TcSQS.

Screening of BindingDB database ligands against EGFR, HER2, Estrogen, Progesterone and NF-[formula omitted]B receptors based on machine learning and molecular docking

Breast cancer, the second most prevalent cancer among women worldwide, necessitates the exploration of novel therapeutic approaches. To target the four subgroups of breast cancer “hormone receptor-positive and HER2-negative, hormone receptor-positive and HER2-positive, hormone receptor-negative and HER2-positive, and hormone receptor-negative and HER2-negative” it is crucial to inhibit specific targets such as EGFR, HER2, ER, NF-κB, and PR.In this study, we evaluated various methods for binary and multiclass classification. Among them, the GA-SVM-SVM:GA-SVM-SVM model was selected with an accuracy of 0.74, an F1-score of 0.73, and an AUC of 0.92 for virtual screening of ligands from the BindingDB database. This model successfully identified 4454, 803, 438, and 378 ligands with over 90% precision in both active/inactive and target prediction for the classes of EGFR+HER2, ER, NF-κB, and PR, respectively, from the BindingDB database. Based on to the selected ligands, we created a dendrogram that categorizes different ligands based on their targets. This dendrogram aims to facilitate the exploration of chemical space for various therapeutic targets.Ligands that surpassed a 90% threshold in the product of activity probability and correct target selection probability were chosen for further investigation using molecular docking. The binding energy range for these ligands against their respective targets was calculated to be between −15 and −5 kcal/mol. Finally, based on general and common rules in medicinal chemistry, we selected 2, 3, 3, and 8 new ligands with high priority for further studies in the EGFR+HER2, ER, NF-κB, and PR classes, respectively.

Biophysical analysis of the membrane-proximal Venus Flytrap domain of ESAG4 receptor-like adenylate cyclase from Trypanosoma brucei

The protozoan parasite Trypanosoma brucei possesses a large family of transmembrane receptor-like adenylate cyclases (RACs), primarily located to the flagellar surface and involved in sensing of the extracellular environment. RACs exhibit a conserved topology characterized by a large N-terminal extracellular moiety harbouring two Venus Flytrap (VFT) bilobate structures separated from an intracellular catalytic domain by a single transmembrane helix. RAC activation, which typically occurs under mild acid stress, requires the dimerization of the intracellular catalytic domain. The occurrence of VFT domains in the RAC’s extracellular moiety suggests their potential responsiveness to extracellular ligands in the absence of stress, although no such ligands have been identified so far. Herein we report the biophysical characterization of the membrane-proximal VFT2 domain of a bloodstream form-specific RAC called ESAG4, whose ectodomain 3D structure is completely unknown. The paper describes an AlphaFold2-based optimisation of the expression construct, enabling facile and high-yield recombinant production and purification of the target protein. Through an interdisciplinary approach combining various biophysical methods, we demonstrate that the optimised VFT2 domain obtained by recombination is properly folded and behaves as a monomer in solution. The latter suggests a ligand-binding capacity independent of dimerization, unlike typical mammalian VFT receptors, as guanylate cyclase. In silico VFT2 genomic analyses shows divergence among cyclase isoforms, hinting at ligand specificity. Taken together this improved procedure enabling facile and high-yield recombinant production and purification of the target protein could benefit researchers studying trypanosomal RAC VFT domains but also any trypanosome domain with poorly defined boundaries. Additionally, our findings support the stable monomeric VFT2 domain as a useful tool for future structural investigations and ligand screening.

Synthesis, Urease Inhibition, Molecular Docking, and Optical Analysis of a Symmetrical Schiff Base and Its Selected Metal Complexes.

Designing and developing small organic molecules for use as urease inhibitors is challenging due to the need for ecosystem sustainability and the requirement to prevent health risks related to the human stomach and urinary tract. Moreover, imaging analysis is widely utilized for tracking infections in intracellular and in vivo systems, which requires drug molecules with emissive potential, specifically in the low-energy region. This study comprises the synthesis of a Schiff base ligand and its selected transition metals to evaluate their UV/fluorescence properties, inhibitory activity against urease, and molecular docking. Screening of the symmetrical cage-like ligand and its metal complexes with various eco-friendly transition metals revealed significant urease inhibition potential. The IC50 value of the ligand for urease inhibition was 21.80 ± 1.88 µM, comparable to that of thiourea. Notably, upon coordination with transition metals, the ligand-nickel and ligand-copper complexes exhibited even greater potency than the reference compound, with IC50 values of 11.8 ± 1.14 and 9.31 ± 1.31 µM, respectively. The ligand-cobalt complex exhibited an enzyme inhibitory potential comparable with thiourea, while the zinc and iron complexes demonstrated the least activity, which might be due to weaker interactions with the investigated protein. Meanwhile, all the metal complexes demonstrated a pronounced optical response, which could be utilized for fluorescence-guided targeted drug delivery applications in the future. Molecular docking analysis and IC50 values from in vitro urease inhibition screening showed a trend of increasing activity from compounds 7d to 7c to 7b. Enzyme kinetics studies using the Lineweaver-Burk plot indicated mixed-type inhibition against 7c and non-competitive inhibition against 7d.

A human lectin array for characterizing host-pathogen interactions

A human lectin array has been developed to probe the interactions of innate immune receptors with pathogenic and commensal micro-organisms. Following the successful introduction of a lectin array containing all of the cow C-type carbohydrate-recognition domains (CRDs), a human array described here contains the C-type CRDs as well as CRDs from other classes of sugar-binding receptors, including galectins, siglecs, R-type CRDs, ficolins, intelectins and chitinase-like lectins. The array is constructed with CRDs modified with single-site biotin tags, ensuring that the sugar-binding sites in CRDs are displayed on a streptavidin-coated surface in a defined orientation and are accessible to the surfaces of microbes. A common approach used for expression and display of CRDs from all of the different structural categories of glycan-binding receptors allows comparisons across lectin families. In addition to previously documented protocols for binding of fluorescently-labeled bacteria, methods have been developed for detecting unlabeled bacteria bound to the array by counter-staining with DNA-binding dye. Screening has also been undertaken with viral glycoproteins and bacterial and fungal polysaccharides. The array provides an unbiased screen for sugar ligands that interact with receptors and many show binding not anticipated from earlier studies. For example, some of the galectins bind with high affinity to bacterial glycans that lack lactose or N-acetyllactosamine. The results demonstrate the utility of the human lectin array for providing a unique overview of the interactions of multiple classes of glycan-binding proteins in the innate immune system with different types of micro-organisms.

Identification of Novel Compounds Targeting the Liver X Receptor (LXR): In-silico Studies, Screening, Molecular Docking, and Chemico-pharmacokinetic Analysis

Studies have demonstrated the association between LXR activity dysregulation with many diseases, including atherosclerosis, diabetes and cancer. In recent years, several LXR agonists have surfaced, but none have been approved for human use due to adverse effects or unforeseen reasons. In this study, we first analysed the mRNA and protein expression of LXRs across tissues, network and pathway analysis, and reinterpreted their physiological function and disease association by utilizing multiple biological data repositories, including RNA-seq human protein atlas, DisGeNET, etc. Then, we performed ligand-based virtual screening, chemico-pharmacokinetic analysis, docking and simulation to identify potential new compounds. Our findings of mRNA, protein expression, network and disease enrichment analysis reveal diverse physiological functions of LXRs addressing the possibility of pharmacological manipulation with small molecules would provide therapeutic strategies for disease management. Evaluation of the docking and chemico-pharmacokinetic properties directed to the selection of LXR-623 and AZ876 as promising candidates for LXR-α and LXR-β for further in-silico investigation. Comprehensive screening for new ligands targeting LXRs based on the chemical structures of LXR-623 and AZ876, identified ZINC000005399501 and ZINC000021912941 with the highest binding affinity (−9.8 and −10.7 kcal/mol) for LXRα and LXRβ, respectively. Our results also supported in simulation study, along with favorable chemico-pharmacokinetic features.

Online ligand screening for cytochrome C from herbal medicines through “four-in-one” measurement

Affinity-oriented online ligand screening with LC coupled to different detectors is widely popular to capture active compounds from herbal medicines (HMs). However, false-positive extensively occurs because insufficient information is recorded for the existence and stability of ligand-protein complex. Here, efforts were made to advance the hit confidences via configuring post-column infusion-LC–energy-resolved-affinity MS (PCI-LC–ER-AMS) to achieve “four-in-one” monitoring of: 1) response decrement of potential ligands; 2) response decrement of protein; 3) ions relating to ligand-protein complexes; and 4) ligand-protein binding strength. Ligand fishing for Cyt C from HMs was conducted as a proof-of-concept. For utility justification, a mimic sample containing twelve well-defined ligands and two negative controls underwent LC separation and met Cyt C prior to Qtof-MS measurements. Compared to Cyt C- or ligand-free assay, twelve ligands instead of negative controls showed response decrements that were consistent with twelve negative peaks observed at retention times corresponding to the ligands in Cyt C ion current chromatogram. Serial ions correlating to each ligand-Cyt C complex were observed. After recording breakdown graphs, optimal collision energy (OCE) corresponding to the non-covalent bond dissociation was positively correlated with binding strength. Two HMs including Scutellariae Radix (SR) and Aconiti Lateralis Radix Preparata were investigated. Consequently, 24 compounds were merely fished from SR, and particularly, flavonoid glycosides exhibited greater OCEs and also binding strengths over aglycones. Affinity assays and cellular evaluations consolidated the significant interactions between each captured compound and Cyt C. Overall, PCI-LC–ER-AMS is eligible for confidence-enhanced online ligand screening for Cyt C from HMs through “four-in-one” measurement.

Palladium‐Catalyzed Asymmetric Allylic Substitutions Achieved by C−N Axially Chiral N‐Arylpyrrole Derived Monophosphine Ligands

AbstractMonophosphine ligands based on C−N axially chiral N‐Arylpyrrole backbones are prepared starting from amino acids and evaluated in Pd‐catalyzed asymmetric allylic substitutions. 20.7–99.9% ees are achieved in the reactions of rac‐1,3‐diphenylallyl acetates with O−, N− and C‐nucleophiles. Ligand screening revealed that the steric hindrance from 3‐ or 4‐ position of the pyrrole is crucial for the enantioselectivity of the reaction. The synthetic utilization of the products was demonstrated by the transformation of one product by a gold‐catalyzed oxidative rearrangement reaction.

Exploring molecular interactions and ADMET profiles of novel MAO-B inhibitors: toward effective therapeutic strategies for neurodegenerative disorders

BackgroundNeurodegenerative disorders (NDs), primarily affecting the elderly, are marked by complex pathophysiological processes and are projected to become the second leading cause of death. Parkinson’s disease (PD), one of the most common NDs, is characterized by motor impairments due to reduced dopamine levels in the substantia nigra (SN), a crucial midbrain region involved in motor control and reward mechanisms. PD also impacts cognitive functions, potentially leading to depression and sleep disturbances. Recent research highlights the importance of MAO-B inhibitors in PD management, as these enzymes play a critical role in regulating neurotransmitter levels by catalyzing the oxidative deamination of intracellular amines and monoamine neurotransmitters.ResultComputational virtual screening of several quinoline-based ligands against the target protein MAO-B (PDB ID: 1OJA) was performed using molecular docking simulation and ADMET studies to identify promising inhibitors for neurodegenerative disease treatment. The most active hit, Compound PA001, exhibited a MolDock score of − 207.76 kcal/mol. Subsequent investigation of 6-methoxy-2-(4-phenylpiperazin-1-yl)quinoline (Compound PA001) using molecular dynamics (MD) simulations with GROMACS revealed potent inhibition and significant interactions at key active site residues. MD simulations confirmed the stability of the Compound PA001-MAO-B complex under physiological conditions. Additionally, ADMET analysis demonstrated that Compound PA001 possesses favorable drug-like properties, including absorption, distribution, metabolism, excretion, and toxicity profiles. These findings underscore 6-methoxy-2-(4-phenylpiperazin-1-yl)quinoline (Compound PA001) as a promising candidate for developing new MAO-B inhibitors to treat neurodegenerative diseases.ConclusionThe research highlighted 6-methoxy-2-(4-phenylpiperazin-1-yl)quinoline (Compound PA001) as a promising MAO-B inhibitor, exhibiting strong binding affinity, stability, and desirable drug-like characteristics for the treatment of neurodegenerative diseases. Among the top ten molecules, Compound PA001 was selected for molecular dynamics (MD) simulation using GROMACS. The compound showed potent inhibition, significant interactions with key active site residues, and stable complex formation under physiological conditions. ADMET analysis further confirmed its favorable pharmacokinetic profile.

Ligand and structure-based virtual screening approaches in drug discovery: minireview.

The compilation of ligand and structure-based molecular modeling methods has become an important practice in virtual screening applied to drug discovery. This systematic review addresses and ranks various virtual screening strategies to drive the selection of the optimal method for studies that have as their starting point a multi-ligand investigation and investigation based on the protein structure of a therapeutic target. This study shows examples of applications and an evaluation based on the objective and problematic of a series of virtual screening studies present in the ScienceDirect® database. The results showed that the molecular docking technique is widely used in scientific production, indicating that approaches that use protein structure as a starting point are the most promising strategy for drug discovery that relies on virtual screening-based research.

Selective Clearance of Circulating Histones Based on Dodecapeptide-Grafted Copolymer Material for Sepsis Blood Purification.

Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. Research indicates that circulating histones, as pathogenic factors, may represent a therapeutic target for sepsis. However, effectively clearing circulating histones poses a challenge due to their structural similarity to normal blood proteins, their low abundance in the bloodstream, and serious interference from other blood biomacromolecules. Here we design a dodecapeptide-based functional polymer that can selectively adsorb circulating histones from the blood. The peptide, named P1 (HNHHQLALVESY), was discovered through phage display screening and demonstrated a strong affinity for circulating histones while exhibiting negligible affinities for common proteins in the blood, such as human serum albumin (HSA), immunoglobulin G (IgG), and transferrin (TRF). Furthermore, the P1 peptide was incorporated into a functional polymer design, poly(PEGMA-co-P1), which was immobilized onto a silica gel surface through reversible addition-fragmentation chain transfer polymerization. The resulting material was characterized using solid nuclear magnetic resonance, thermogravimetric analysis, and X-ray photoelectron spectroscopy. This material demonstrated the ability to selectively and efficiently capture circulating histones from both model solutions and whole blood samples while also exhibiting satisfactory blood compatibility, good antifouling properties, and resistance to interference. Satisfactory binding affinity and efficient capture capacity toward histone were also observed for the other screened peptide P2 (QMSMDLFGSNFV)-grafted polymer, validating phage display as a reliable ligand screening strategy. These findings present an approach for the specific clearance of circulating histones and hold promise for future clinical applications in blood purification toward sepsis.

Structure-Based Drug Design with a Deep Hierarchical Generative Model.

Recently, the remarkable growth of available crystal structure data and libraries of commercially available or readily synthesizable molecules have unlocked previously inaccessible regions of chemical space for drug development. Paired with improvements in virtual ligand screening methods, these expanded libraries are having a notable impact on early drug design efforts. Yet screening-based methods still face scalability limits, due to computational constraints and the sheer scale of drug-like space. Machine learning approaches are overcoming these limitations by learning the fundamental intra- and intermolecular relationships in drug-target systems from existing data. Here, we introduce DrugHIVE, a deep hierarchical variational autoencoder that outperforms state-of-the-art autoregressive and diffusion-based methods in both speed and performance on common generative benchmarks. DrugHIVE's hierarchical design enables improved control over molecular generation. Its capabilities include dramatically increasing virtual screening efficiency and accelerating a wide range of common drug design tasks, including de novo generation, molecular optimization, scaffold hopping, linker design, and high-throughput pattern replacement. Our highly scalable method can even be applied to receptors with high-confidence AlphaFold-predicted structures, extending the ability to generate high-quality drug-like molecules to a majority of the unsolved human proteome.

Design, synthesis, anti-tumor activity and mechanism of novel PROTACs as degraders of PD-L1 and inhibitors of PD-1/PD-L1 interaction

Currently, antibody drugs targeting programmed cell death ligand 1 (PD-L1) have achieved promising results in cancer treatment, while the development of small-molecule drugs lags behind. In this study, we designed and synthesized a series of PD-L1-degrading agents based on the PROTAC design principle, utilizing the PD-L1 inhibitor A56. Through systematic screening of ligands and linkers and investigating the structure–activity relationship of the degraders, we identified two highly active compounds, 9i and 9j. These compounds enhance levels of CD4+, CD8+, granzyme B, and perforin, demonstrating significant in vivo antitumor effects with a tumor growth inhibition (TGI) of up to 57.35 %. Both compounds facilitate the internalization of PD-L1 from the cell surface and promote its degradation through proteasomal and lysosomal pathways, while also maintaining inhibition of the PD-1/PD-L1 interaction. In summary, our findings provide a novel strategy and mechanism for developing biphenyl-based PROTAC antitumor drugs targeting and degrading PD-L1.

Human AKR1C3 binds agonists of GPR84 and participates in an expanded polyamine pathway.

Altered human aldo-keto reductase family 1 member C3 (AKR1C3) expression has been associated with poor prognosis in diverse cancers, ferroptosis resistance, and metabolic diseases. Despite its clinical significance, the endogenous biochemical roles of AKR1C3 remain incompletely defined. Using untargeted metabolomics, we identified a major transformation mediated by AKR1C3, in which a spermine oxidation product "sperminal" is reduced to "sperminol." Sperminal causes DNA damage and activates the DNA double-strand break response, whereas sperminol induces autophagy invitro. AKR1C3 also pulls down acyl-pyrones and pyrone-211 inhibits AKR1C3 activity. Through G protein-coupled receptor ligand screening, we determined that pyrone-211 is also a potent agonist of the semi-orphan receptor GPR84. Strikingly, mammalian fatty acid synthase produces acyl-pyrones invitro, and this production is modulated by NADPH. Taken together, our studies support a regulatory role of AKR1C3 in an expanded polyamine pathway and a model linking fatty acid synthesis and NADPH levels to GPR84 signaling.