Complex Libraries Research Articles

A High-Throughput Ancient DNA Extraction Method for Large-Scale Sample Screening.

Large-scale DNA screening of palaeontological and archaeological collections remains a limiting and costly factor for ancient DNA studies. Several DNA extraction protocols are routinely used in ancient DNA laboratories and have even been automated on robotic platforms. Robots offer a solution for high-throughput screening but the costs, as well as necessity for trained technicians and engineers, can be prohibitive for some laboratories. Here, we present a high-throughput alternative to robot-based ancient DNA extraction using a 96-column plate. When compared to routine single MinElute columns, we retrieved highly similar endogenous DNA contents, an important metric in ancient DNA screening. Mitogenomes with a coverage depth greater than 0.1× could be generated and allowed for taxonomic assignment. However, average fragment lengths, DNA damage and library complexities significantly differed between methods but these differences became nonsignificant after modification of our library purification protocol. Our high-throughput extraction method allows generation of 96 extracts within approximately 4 hours of laboratory work while bringing the cost down by ~39% compared to using single columns. Additionally, we formally demonstrate that the addition of Tween-20 during the elution step results in higher complexity libraries, thereby enabling higher genome coverage for the same sequencing effort.

Improved Recombinant Adeno-Associated Viral Vector Production via Molecular Evolution of the Viral Rep Protein

In the dynamic field of gene therapy, recombinant adeno-associated viruses (rAAVs) have become leading viral vectors due to their safety, long-term expression, and wide-ranging cell and tissue tropism. With numerous FDA approvals and commercial products underscoring their potential, there is a critical need for efficient production processes to achieve high vector titers and quality. A major challenge in rAAV production is the efficient packaging of the genome into the viral capsid, with empty or partially filled capsids often representing over 90% of the produced material. To tackle this issue, we engineered the replication and packaging proteins of an AAV (Rep) to boost their functionality and improve vector titers. We subjected a complex Rep library derived from the AAV serotypes 1–13 to directed evolution in an AAV producer cell line. After each round of selection, single clones were analyzed, showing enrichment of specific hybrid Rep domains. Comparative analysis of these selected clones revealed considerable differences in their ability to package AAV2-based viral genomes, with hybrid Rep proteins achieving up to a 2.5-fold increase in packaging efficiency compared to their parental counterparts. These results suggest that optimizing rep gene variants through directed evolution is an effective strategy to enhance rAAV production efficiency.

Extensive length and homology dependent chimerism in pool-packaged AAV libraries.

Adeno-associated viruses (AAVs) have emerged as the foremost gene therapy delivery vehicles due to their versatility, durability, and safety profile. Here we demonstrate extensive chimerism, manifesting as pervasive barcode swapping, among complex AAV libraries that are packaged as a pool. The observed chimerism is length- and homology-dependent but capsid-independent, in some cases affecting the majority of packaged AAV genomes. These results have implications for the design and deployment of functional AAV libraries in both research and clinical settings.

High‐Throughput Combinatorial Metal Complex Synthesis

High‐throughput combinatorial metal complex synthesis has emerged as a powerful tool for rapidly generating and screening diverse libraries of metal complexes, enabling accelerated discovery in fields such as catalysis, medicinal chemistry, and materials science. By systematically combining building blocks (BBs) under mild and efficient conditions, researchers can explore broad chemical spaces, increasing the likelihood of identifying complexes with desired properties. This method streamlines hit identification and optimisation, especially when integrated with high‐throughput screening (HTS) and data‐driven approaches like machine learning. Despite challenges such as scalability and purity control, recent advancements in automation and predictive modelling are enhancing the efficiency of combinatorial synthesis, opening new avenues for the development of metal‐based catalysts, therapeutic agents, and functional materials.

High-Throughput Combinatorial Metal Complex Synthesis.

High-throughput combinatorial metal complex synthesis has emerged as a powerful tool for rapidly generating and screening diverse libraries of metal complexes, enabling accelerated discovery in fields such as catalysis, medicinal chemistry, and materials science. By systematically combining building blocks (BBs) under mild and efficient conditions, researchers can explore broad chemical spaces, increasing the likelihood of identifying complexes with desired properties. This method streamlines hit identification and optimisation, especially when integrated with high-throughput screening (HTS) and data-driven approaches like machine learning. Despite challenges such as scalability and purity control, recent advancements in automation and predictive modelling are enhancing the efficiency of combinatorial synthesis, opening new avenues for the development of metal-based catalysts, therapeutic agents, and functional materials.

Menshutkin Complexes: Influence of pnictogen, halide and arene on Pn···πarene interactions in [(PnX3)2{(2‐R‐C6H4)C2H4(2‐R‐C6H4)}

More than 100 years ago B. N. Menshutkin systematically studied phase diagrams of antimony(III) halides with aromatic hydrocarbons for the first time, leading to the discovery of what is known today as Menshutkin complexes. As an extension to the wide variety of these Pn···πarene type complexes, which has been nicely reviewed by H. Schmidbaur and A. Schier in 2008, we report on a series of isomorphous compounds with diphenylethane derivatives as organic linkers in supramolecular networks. By setting up a library of complexes consisting of PnX3 (Pn = Sb, Bi; X = Cl, Br) and (2‐R‐C6H4)C2H4(2‐R‐C6H4) (R = Me, Br, NH2, NO2) we were able to compare the structures of five new Menshutkin complexes and additionally isolate six Sb···R donor‐acceptor type complexes. Lewis basic R‐groups favour the formation of donor‐acceptor complexes whereas weaker ones lead to Pn···πarene complexes. The influence of the pnictogen atom (Pn), the halide (X) and the substituent (R) concerning Pn···πarene distances in the solid state of the isomorphous Menshutkin complexes are examined. The results are discussed in view of previous studies providing a deeper insight into the qualitative and quantitative nature of Pn···πarene interactions.

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.

Examining the Relationship between Aptamer Complexity and Molecular Discrimination of a Low-Epitope Target.

Aptamers are oligonucleotide-based affinity reagents that are increasingly being used in various applications. Systematic evolution of ligands by exponential enrichment (SELEX) has been widely used to isolate aptamers for small-molecule targets, but it remains challenging to generate aptamers with high affinity and specificity for targets with few functional groups. To address this challenge, we have systematically evaluated strategies for optimizing the isolation of aptamers for (+)-methamphetamine, a target for which previously reported aptamers have weak or no binding affinity. We perform four trials of library-immobilized SELEX against (+)-methamphetamine and demonstrate that N30 libraries do not yield high-quality aptamers. However, by using a more complex N40 library design, stringent counter-SELEX, and fine-tuned selection conditions, we identify aptamers with high affinity for (+)-methamphetamine and better selectivity relative to existing antibodies. Bioinformatic analysis from our selections reveals that high-quality aptamers contain long conserved motifs and are more informationally dense. Finally, we demonstrate that our best aptamer can rapidly detect (+)-methamphetamine at toxicologically relevant concentrations in saliva in a colorimetric dye-displacement assay. The insights provided here demonstrate the challenges in generating high-quality aptamers for low complexity small-molecule targets and will help guide the design of more efficient future selection efforts.

Chromatographic Determination of Permeability-Relevant Lipophilicity Facilitates Rapid Analysis of Macrocyclic Peptide Scaffolds.

Hydrocarbon-determined shake-flask measurements have demonstrated great utility for optimizing lipophilicity during early drug discovery. Alternatively, chromatographic methods confer reduced experimental error and improved handling of complex mixtures. In this study, we developed a chromatographic approach for estimating hydrocarbon-water shake-flask partition coefficients for a variety of macrocyclic peptides and other bRo5 molecules including PROTACs. The model accurately predicts experimental shake-flask measurements with high reproducibility across a wide range of lipophilicities. The chromatographic retention times revealed subtle conformational effects and correlated with the ability to sequester hydrogen bond donors in low dielectric media. Estimations of shake-flask lipophilicity from our model also accurately predicted trends in MDCK passive cell permeability for a variety of thioether-cyclized decapeptides. This method provides a convenient, high-throughput approach for measuring lipophilic permeability efficiency and predicting passive cell permeability in bRo5 compounds that is suitable for multiplexing pure compounds or investigating the properties of complex library mixtures.

FastAd: A versatile toolkit for rapid generation of single adenoviruses or diverse adenoviral vector libraries

Adenoviruses (Ads) are potent gene delivery vectors for in vitro and in vivo applications. However, current methods for their construction are time-consuming and inefficient, limiting their rapid production and utility in generating complex genetic libraries. Here, we introduce FastAd, a rapid and easy-to-use technology for inserting recombinant “donor” DNA directly into infectious “receiver” Ads in mammalian cells by the concerted action of two efficient recombinases: Cre and Bxb1. Subsequently, the resulting mixed recombinant Ad population is subjected to negative selections by flippase (FLP) recombinase to remove viruses that missed the initial recombination. With this approach, recombinant Ad production time is reduced from two months to 10 days or less. FastAd can be applied for inserting complex genetic DNA libraries into Ad genomes, as evidenced by the generation of barcode libraries with over 3 million unique clones from a T25 flask-scale of transfection. Furthermore, we leveraged FastAd to construct an Ad library containing a comprehensive genome-wide CRISPR/Cas9 guide RNA (gRNA) library and demonstrated its effectiveness in uncovering novel virus-host interactions. In summary, FastAd enables the rapid generation of single Ad vectors or complex genetic libraries, facilitating not only novel applications of Ad vectors but also research in foundational Ad biology.

Human IL-22 receptor-targeted small protein antagonist suppress murine DSS-induced colitis

BackgroundHuman interleukin-22 (IL-22) is known as a “dual function” cytokine that acts as a master regulator to maintain homeostasis, structural integrity of the intestinal epithelial barrier, and shielding against bacterial pathogens. On the other hand, the overexpression of IL-22 is associated with hyper-proliferation and recruitment of pathologic effector cells, leading to tissue damage and chronic inflammation in specific diseases including inflammatory bowel disease (IBD). To study a role of IL-22-mediated signaling axis during intestinal inflammation, we generated a set of small protein blockers of IL-22R1 and verified their inhibitory potential on murine model of colitis.MethodsWe used directed evolution of proteins to identify binders of human IL-22 receptor alpha (IL-22R1), designated as ABR ligands. This approach combines the assembly of a highly complex combinatorial protein library derived from small albumin-binding domain scaffold and selection of promising protein variants using ribosome display followed by large-scale ELISA screening. The binding affinity and specificity of ABR variants were analyzed on transfected HEK293T cells by flow cytometry and LigandTracer. Inhibitory function was further verified by competition ELISA, HEK-Blue IL-22 reporter cells, and murine dextran sulfate sodium (DSS)-induced colitis.ResultsWe demonstrate that ABR specifically recognizes transgenic IL-22R1 expressed on HEK293T cells and IL-22R1 on TNFα/IFNγ-activated HaCaT cells. Moreover, some ABR binders compete with the IL-22 cytokine and function as IL-22R1 antagonists in HEK-Blue IL22 reporter cells. In a murine model of DSS-induced acute intestinal inflammation, daily intraperitoneal administration of the best IL-22R1 antagonist, ABR167, suppressed the development of clinical and histological markers of colitis including prevention of mucosal inflammation and architecture deterioration. In addition, ABR167 reduces the DSS-induced increase in mRNA transcript levels of inflammatory cytokines such as IL-1β, IL-6, IL-10, and IL-17A.ConclusionsWe developed small anti-human IL-22R1 blockers with antagonistic properties that ascertain a substantial role of IL-22-mediated signaling in the development of intestinal inflammation. The developed ABR blockers can be useful as a molecular clue for further IBD drug development.

GGAssembler: Precise and economical design and synthesis of combinatorial mutation libraries.

Golden Gate assembly (GGA) can seamlessly generate full-length genes from DNA fragments. In principle, GGA could be used to design combinatorial mutation libraries for protein engineering, but creating accurate, complex, and cost-effective libraries has been challenging. We present GGAssembler, a graph-theoretical method for economical design of DNA fragments that assemble a combinatorial library that encodes any desired diversity. We used GGAssembler for one-pot in vitro assembly of camelid antibody libraries comprising >105 variants with DNA costs <0.007$ per variant and dropping significantly with increased library complexity. >93% of the desired variants were present in the assembly product and >99% were represented within the expected order of magnitude as verified by deep sequencing. The GGAssembler workflow is, therefore, an accurate approach for generating complex variant libraries that may drastically reduce costs and accelerate discovery and optimization of antibodies, enzymes and other proteins. The workflow is accessible through a Google Colab notebook at https://github.com/Fleishman-Lab/GGAssembler.

ShuffleAnalyzer: A Comprehensive Tool to Visualize DNA Shuffling.

DNA shuffling is a powerful technique for generating synthetic DNA via recombination of homologous parental sequences. Resulting chimeras are often incorporated into complex libraries for functionality screenings that identify novel variants with improved characteristics. To survey shuffling efficiency, subsequences of chimeras can be computationally assigned to their corresponding parental counterpart, yielding insight into frequency of recombination events, diversity of shuffling libraries and actual composition of final variants. Whereas tools for parental assignment exist, they do not provide direct visualization of the results, making the analysis time-consuming and cumbersome. Here we present ShuffleAnalyzer, a comprehensive, user-friendly, Python-based analysis tool that directly generates graphical outputs of parental assignments and is freely available under a BSD-3 license (https://github.com/joerg-swg/ShuffleAnalyzer/releases). Besides DNA shuffling, peptide insertions can be simultaneously analyzed and visualized, which makes ShuffleAnalyzer a highly valuable tool for integrated approaches often used in synthetic biology, such as AAV capsid engineering in gene therapy applications.

Assessment of in vivo chemical mutagenesis by long-read sequencing.

Evaluating the mutagenic properties of chemicals is crucial for understanding their potential cancer risks. Recent Illumina-based error-corrected sequencing techniques have enabled the direct detection of mutations induced de novo by mutagens. However, as the Illumina platform lacks intrinsic error-correction capabilities, complex library preparations and bioinformatic processes are necessary to identify these rare mutations. In this study, we evaluated whether long-read PacBio-based HiFi sequencing (HiFi seq), which has integrated error-correction, can detect de novo mutations induced by mutagens in C57BL/6 mouse tissues. Using HiFi seq, dose-dependent increases in mutation frequencies were found in tissues from mice exposed to 7,12-dimethylbenz[a]anthracene, procarbazine, and N-propyl-N-nitrosourea. Furthermore, the mutational signatures derived from these exposures were consistent with those previously reported for these mutagens. This study demonstrates that HiFi seq can complement established mutation detection assays to facilitate the identification of hazardous compounds.

Flavonoid-metal ion Complexes as Potent Anticancer metallodrugs: A comprehensive Review.

Flavonoids and their analogous are mainly found in pink lady apples, green and black tea (catechins), celery and red peppers, onions, broccoli and spinach, berries, cherries, soybean, citrus fruits, and fungi. The different derivatives of flavonoids belonging to polyphenolic compounds such as 3,4',5,7-Tetrahydroxyflavylium (pelargonidin), 2-(3,4-Dihydroxyphenyl)chromenylium-3,5,7-triol (cyanidin), 3,3',4',5,5',7-Hexahydroxyflavylium (delphinidin), 3,3',4',5,7-Pentahydroxy-5'-methoxyflavylium (petunidin), and 3,4',5,7-Tetrahydroxy-3',5'-dimethoxyflavylium (malvidin) can act as good chelating agents for metal-chelate complex formation. These flavonoid-metal complexes have been reported to have various biomedical and pharmacological activities. Flavonoid-metal ion complexes display a broad spectrum of biological properties such as antioxidant, anti-inflammatory, anti-allergic, antiviral, anticarcinogenic, and cytotoxic activity. The literature survey showed that flavonoid metal complexes have potential therapeutic properties against various cancerous cells. The objective is to gain insight into the current perspective and development of novel anticancer metallodrug drugs. The flavonoid-metal ion complexes can be prepared by reacting flavonoid ligand with appropriate metal salt in aqueous or alcoholic reaction medium under stirring or refluxing conditions. In this review article, the various reported methods for the synthesis of flavonoid-metal complexes have been included. The utility of synthetic methods for flavonoid-metal complexes will support the discovery of novel therapeutic drugs. In this review study, short libraries of flavonoid-metal ion complexes were studied as potential anticancer agents against various human cancer cell lines. The review report reveals that metal ions such as Fe, Co, Ni, Cu, Zn, Rh, Ru, Ga, Ba, Sn etc., when binding to flavonoid ligands, enhance the anticancer activity compared to free ligands. This review study covered some important literature surveys for the last two decades. It has been concluded that flavonoid metal complexes have been associated with a wide range of biological properties that could be noteworthy in the medicinal field. Therefore, to develop a new anticancer drug, it is essential to determine the primordial interaction drug with DNA under physiological or anatomical conditions. The study of numerous flavonoid metal complexes mentioned in this paper could be the future treatment against various cancerous diseases.

Small protein blockers of human IL-6 receptor alpha inhibit proliferation and migration of cancer cells

BackgroundInterleukin-6 (IL-6) is a multifunctional cytokine that controls the immune response, and its role has been described in the development of autoimmune diseases. Signaling via its cognate IL-6 receptor (IL-6R) complex is critical in tumor progression and, therefore, IL-6R represents an important therapeutic target.MethodsAn albumin-binding domain-derived highly complex combinatorial library was used to select IL-6R alpha (IL-6Rα)-targeted small protein binders using ribosome display. Large-scale screening of bacterial lysates of individual clones was performed using ELISA, and their IL-6Rα blocking potential was verified by competition ELISA. The binding of proteins to cells was monitored by flow cytometry and confocal microscopy on HEK293T-transfected cells, and inhibition of signaling function was examined using HEK-Blue IL-6 reporter cells. Protein binding kinetics to living cells was measured by LigandTracer, cell proliferation and toxicity by iCELLigence and Incucyte, cell migration by the scratch wound healing assay, and prediction of binding poses using molecular modeling by docking.ResultsWe demonstrated a collection of protein variants called NEF ligands, selected from an albumin-binding domain scaffold-derived combinatorial library, and showed their binding specificity to human IL-6Rα and antagonistic effect in HEK-Blue IL-6 reporter cells. The three most promising NEF108, NEF163, and NEF172 variants inhibited cell proliferation of malignant melanoma (G361 and A2058) and pancreatic (PaTu and MiaPaCa) cancer cells, and suppressed migration of malignant melanoma (A2058), pancreatic carcinoma (PaTu), and glioblastoma (GAMG) cells in vitro. The NEF binders also recognized maturation-induced IL-6Rα expression and interfered with IL-6-induced differentiation in primary human B cells.ConclusionWe report on the generation of small protein blockers of human IL-6Rα using directed evolution. NEF proteins represent a promising class of non-toxic anti-tumor agents with migrastatic potential.

SuFEx-Enabled Direct Deoxy-Diversification of Alcohols.

We introduce a new use of sulfonyl fluoride as a bifunctional reagent that facilitates the one-step deoxy-diversification of complex alcohol libraries. Our reaction design features a Sulfur(VI) Fluoride Exchange (SuFEx) mediated activation of alcohols and fluoride-induced activation of silicon-bound nucleophiles. This method enables the direct conversion of alcoholic C-O bonds in complex molecules into diverse analogues via C-C, C-N, C-Cl, and C-Br bond formation while suppressing any elimination side-products.

Cu(I) Coordination Compounds Conjugated to Au Nanorods for Future Applications in Drug Delivery: Insights in Molecular, Electronic and Cu Local Structure in Solid and Liquid Phase.

In the framework of the design, synthesis and testing of a library of copper complexes and nanostructured assemblies potentially endowed with antitumor and antiviral activity and useful for several applications, from drugs and related delivery systems to the development of biocidal nanomaterials, we present the detailed spectroscopic investigation of the molecular and electronic structure of copper-based coordination compounds and of a new conjugated system obtained by grafting Cu(I) complexes to gold nanorods. More in detail, the electronic and molecular structures of two Cu complexes and one AuNRs/Cu-complex adduct were investigated by X-ray photoelectron spectroscopy (XPS), synchrotron-induced XPS (SR-XPS) and near edge X-ray absorption spectroscopy (NEXAFS) in solid state, and the local structure around copper ion was assessed by X-ray absorption spectroscopy (XAS) both in solid state and water solution for the AuNRs/Cu-complex nanoparticles. The proposed multi-technique approach allowed to properly define the coordination geometry around the copper ion, as well as to ascertain the molecular structures of the coordination compounds, their stability and modifications upon interaction with gold nanoparticles, by comparing solid state and liquid phase data.

Earth-abundant Zn-dipyrrin chromophores for efficient CO2 photoreduction.

The development of strong sensitizing and Earth-abundant antenna molecules is highly desirable for CO2 reduction through artificial photosynthesis. Herein, a library of Zn-dipyrrin complexes (Z-1-Z-6) are rationally designed via precisely controlling their molecular configuration to optimize strong sensitizing Earth-abundant photosensitizers. Upon visible-light excitation, their special geometry enables intramolecular charge transfer to induce a charge-transfer state, which was first demonstrated to accept electrons from electron donors. The resulting long-lived reduced photosensitizer was confirmed to trigger consecutive intermolecular electron transfers for boosting CO2-to-CO conversion. Remarkably, the Earth-abundant catalytic system with Z-6 and Fe-catalyst exhibits outstanding performance with a turnover number of >20 000 and 29.7% quantum yield, representing excellent catalytic performance among the molecular catalytic systems and highly superior to that of noble-metal photosensitizer Ir(ppy)2(bpy)+ under similar conditions. Experimental and theoretical investigations comprehensively unveil the structure-activity relationship, opening up a new horizon for the development of Earth-abundant strong sensitizing chromophores for boosting artificial photosynthesis.

Screening, Deconvolution and Parallel Synthesis of Trisubstituted Piperazine and Trisubstituted 2,3-diketopierazine Libraries for the Rapid Identification of Antagonists of the Nuclear Retinoic Acid Receptor-related Orphan Receptor Gamma (RORγ)

Background: Genetic studies support a key role for RORγ and RORα in the differentiation of proinflammatory Th17 cells, and a growing body of evidence suggests a pathogenic role for Th17 in several autoimmune diseases, including MS, rheumatoid arthritis, inflammatory bowel disease, type I diabetes, and psoriasis. RORγ antagonists have been shown to suppress Th17 differentiation and delay the onset of disease in an experimental autoimmune encephalomyelitis mouse model of MS. Objective: Given the high therapeutic interest of RORγ antagonists and the promising activity of currently known ligands, small molecules with higher potency and receptor selectivity (in particular within the ROR family) are highly desirable. We used our small molecule compound library to discover, characterize, and optimize novel RORγ antagonists for the treatment of autoimmune diseases from Mixture-based Combinatorial Chemical Libraries. Methods: We screened the FIU collection of small molecule libraries (&gt;30 million compounds) composed of 75 molecular scaffolds systematically arranged in positional scanning and scaffold ranking formats. We identified scaffolds that selectively inhibit the binding of RORγ, RORγ, and RORβ but not RORα, and others that function as antagonists of all three receptors. Results: The deconvolution of selected PS-SCL mixtures led to the identification of novel chemical entities, trisubstituted piperazine and diketopiperazine that function as RORγ antagonists. Conclusion: The screening of a large complex library led to the rapid identification of novel trisubstituted piperazine and diketopiperazine antagonists of the nuclear retinoic acid receptor-related orphan receptor gamma (RORγ).