Target Identification Of Small Molecules Research Articles

Multiplexed Target Profiling with Integrated Chemical Genomics and Chemical Proteomics.

Target identification is crucial for elucidating the mechanisms of bioactive molecules in drug discovery. However, traditional methods assess compounds individually, making it challenging to efficiently examine multiple compounds in parallel, especially for structurally diverse compounds. This study reports a novel strategy called chemical genomics-facilitated chemical proteomics (CGCP) for multiplexing the target identification of bioactive small molecules. CGCP correlates compounds' perturbation of global transcription, or chemical genomic profiles, with their reactivity toward target proteins, enabling simultaneous identification of targets. We demonstrated the utility of CGCP by studying the targets of celastrol (Cel) and four other electrophilic compounds with varying levels of similarity to Cel based on their chemical genomic profiles. We identified multiple novel targets and binding sites shared by the compounds in a single experiment. CGCP enabled multiplexity and improved the efficiency of target identification for structurally distinct compounds, indicating its potential to accelerate drug discovery.

Therapeutic Target Identification and Drug Discovery Driven by Chemical Proteomics.

Throughout the human lifespan, from conception to the end of life, small molecules have an intrinsic relationship with numerous physiological processes. The investigation into small-molecule targets holds significant implications for pharmacological discovery. The determination of the action sites of small molecules provide clarity into the pharmacodynamics and toxicological mechanisms of small-molecule drugs, assisting in the elucidation of drug off-target effects and resistance mechanisms. Consequently, innovative methods to study small-molecule targets have proliferated in recent years, with chemical proteomics standing out as a vanguard development in chemical biology in the post-genomic age. Chemical proteomics can non-selectively identify unknown targets of compounds within complex biological matrices, with both probe and non-probe modalities enabling effective target identification. This review attempts to summarize methods and illustrative examples of small-molecule target identification via chemical proteomics. It delves deeply into the interactions between small molecules and human biology to provide pivotal directions and strategies for the discovery and comprehension of novel pharmaceuticals, as well as to improve the evaluation of drug safety.

Proof of concept: Pull down assay using bovine serum albumin and an immunomodulator small molecule

In the past decade, there has been increasing interest in use of small molecules for immunomodulation. The affinity-based pull-down purification is an essential tool for target identification of small molecules and drug discovery. This study presents our recent efforts to investigate the cellular target(s) of Compound A, a small molecule with demonstrated immunomodulatory properties in human peripheral blood mononuclear cells (PBMCs). While we have previously observed the immunomodulatory activity of Compound A in PBMCs, the specific molecular targets underlying its effects remains elusive. To address this challenge, we synthesized a trifluoromethyl phenyl diazirine (TPD)-bearing trifunctional Probe 1 based on the chemical structure of Compound A, which could be used in a pull-down assay to efficiently bind to putative cellular targets via photoaffinity labelling. In this report, we utilized bovine serum albumin (BSA) as a model protein to establish a proof-of-concept in order to assess the suitability of Probe 1 for binding to an endogenous target. By the successful synthesis of Probe 1 and demonstrating the efficient binding of Probe 1 to BSA, we propose that this method can be used as a tool for further identification of potential protein targets of small molecules in living cells. Our findings provide a valuable starting point for further investigations into the molecular mechanisms underlying the immunomodulatory effects of Compound A.

CODD-Pred: A Web Server for Efficient Target Identification and Bioactivity Prediction of Small Molecules.

Target identification and bioactivity prediction are critical steps in the drug discovery process. Here we introduce CODD-Pred (COmprehensive Drug Design Predictor), an online web server with well-curated data sets from the GOSTAR database, which is designed with a dual purpose of predicting potential protein drug targets and computing bioactivity values of small molecules. We first designed a double molecular graph perception (DMGP) framework for target prediction based on a large library of 646 498 small molecules interacting with 640 human targets. The framework achieved a top-5 accuracy of over 80% for hitting at least one target on both external validation sets. Additionally, its performance on the external validation set comprising 200 molecules surpassed that of four existing target prediction servers. Second, we collected 56 targets closely related to the occurrence and development of cancer, metabolic diseases, and inflammatory immune diseases and developed a multi-model self-validation activity prediction (MSAP) framework that enables accurate bioactivity quantification predictions for small-molecule ligands of these 56 targets. CODD-Pred is a handy tool for rapid evaluation and optimization of small molecules with specific target activity. CODD-Pred is freely accessible at http://codd.iddd.group/.

Native-compound-Coupled Affinity Matrix (NCAM) in target identification and validation of bioactive compounds: Application, mechanism and outlooks

In drug discovery and development, the direct target identification of bioactive small molecules plays a significant role for understanding the mechanism of action, predicting the side effects, and rationally designing more potent compounds. However, due to the complicated regulatory processes in a cell together with thousands of biomacromolecules, target identification is always the major obstacle. New methods and technologies are continuously invented to tackle this problem. Nevertheless, the mainly used tools possess several disadvantages. High synthetic skills are typically required to laboriously synthesize a probe for protein enrichment. To detect the ligand–protein interaction by analyzing proteins’ responses to proteolytic or thermal treatment, costly and precise instruments are always necessary. Therefore, convenient and practical techniques are urgently needed. Over the past decades, a strategy using native compounds without the requirement of chemical modification, also termed Native-compound-Coupled Affinity Matrix (NCAM), is developing continuously. Two practical tactics based on “label-free” compounds have been invented and used, that is Photo-cross-linked Small-molecule Affinity Matrix (PSAM) and Native-compound-Coupled CNBr-activated Beads (NCCB). Presently, we will elucidate the characteristics, coupling mechanism, advantages and disadvantages, and future prospect of NCAM in specific target identification and validation.

In-silico target prediction by ensemble chemogenomic model based on multi-scale information of chemical structures and protein sequences

Identification and validation of bioactive small-molecule targets is a significant challenge in drug discovery. In recent years, various in-silico approaches have been proposed to expedite time- and resource-consuming experiments for target detection. Herein, we developed several chemogenomic models for target prediction based on multi-scale information of chemical structures and protein sequences. By combining the information of a compound with multiple protein targets together and putting these compound-target pairs into a well-established model, the scores to indicate whether there are interactions between compounds and targets can be derived, and thus a target prediction task can be completed by sorting the outputted scores. To improve the prediction performance, we constructed several chemogenomic models using multi-scale information of chemical structures and protein sequences, and the ensemble model with the best performance was used as our final model. The model was validated by various strategies and external datasets and the promising target prediction capability of the model, i.e., the fraction of known targets identified in the top-k (1 to 10) list of the potential target candidates suggested by the model, was confirmed. Compared with multiple state-of-art target prediction methods, our model showed equivalent or better predictive ability in terms of the top-k predictions. It is expected that our method can be utilized as a powerful computational tool to narrow down the potential targets for experimental testing.Graphical

Abstract 2657: SNAP-TurboID: A Proximity-based Intracellular Tool for Small Molecule Target Identification

Abstract 2657: SNAP-TurboID: A Proximity-based Intracellular Tool for Small Molecule Target Identification

Cellular Thermal Shift Assay for the Detection of Small Molecule-Target Interactions in Arabidopsis Cells.

Chemical genetics takes advantage of small molecule-protein interactions to explore various biological processes. Although an attractive alternative to classical genetics in plants, the identification of small-molecule targets remains a challenge and limits the broad use of the compounds. The cellular thermal shift assay (CETSA), based on the principle that binding of small molecules could affect the thermal stability of proteins, has been applied for target validation in plant cells. Combined with high-resolution mass spectrometry, CETSA can detect small-molecule targets by monitoring the changes in the protein thermal stability caused by the interactions with small molecules at the proteome level. Here we describe the small-molecule target validation as well as the target identification with mass spectrometry by means of CETSA.

TAIGET: A small-molecule target identification and annotation web server.

Background: Accurate target identification of small molecules and downstream target annotation are important in pharmaceutical research and drug development. Methods: We present TAIGET, a friendly and easy to operate graphical web interface, which consists of a docking module based on AutoDock Vina and LeDock, a target screen module based on a Bayesian–Gaussian mixture model (BGMM), and a target annotation module derived from >14,000 cancer-related literature works. Results: TAIGET produces binding poses by selecting ≤5 proteins at a time from the UniProt ID-PDB network and submitting ≤3 ligands at a time with the SMILES format. Once the identification process of binding poses is complete, TAIGET then screens potential targets based on the BGMM. In addition, three medical experts and 10 medical students curated associations among drugs, genes, gene regulation, cancer outcome phenotype, 2,170 cancer cell types, and 73 cancer types from the PubMed literature, with the aim to construct a target annotation module. A target-related PPI network can be visualized by an interactive interface. Conclusion: This online tool significantly lowers the entry barrier of virtual identification of targets for users who are not experts in the technical aspects of virtual drug discovery. The web server is available free of charge at http://www.taiget.cn/.

Botanical drugs: a new strategy for structure-based target prediction.

Target identification of small molecules is an important and still changeling work in the area of drug discovery, especially for botanical drug development. Indistinct understanding of the relationships of ligand-protein interactions is one of the main obstacles for drug repurposing and identification of off-targets. In this study, we collected 9063 crystal structures of ligand-binding proteins released from January, 1995 to April, 2021 in PDB bank, and split the complexes into 5133 interaction pairs of ligand atoms and protein fragments (covalently linked three heavy atoms) with interatomic distance ≤5Å. The interaction pairs were grouped into ligand atoms with the same SYBYL atom type surrounding each type of protein fragment, which were further clustered via Bayesian Gaussian Mixture Model (BGMM). Gaussian distributions with ligand atoms ≥20 were identified as significant interaction patterns. Reliability of the significant interaction patterns was validated by comparing the difference of number of significant interaction patterns between the docked poses with higher and lower similarity to the native crystal structures. Fifty-one candidate targets of brucine, strychnine and icajine involved in Semen Strychni (Mǎ Qián Zǐ) and eight candidate targets of astragaloside-IV, formononetin and calycosin-7-glucoside involved in Astragalus (Huáng Qí) were predicted by the significant interaction patterns, in combination with docking, which were consistent with the therapeutic effects of Semen Strychni and Astragalus for cancer and chronic pain. The new strategy in this study improves the accuracy of target identification for small molecules, which will facilitate discovery of botanical drugs.

Controlling cross‐contamination by food allergens

Controlling cross‐contamination by food allergens

Discovery of a σ1 receptor antagonist by combination of unbiased cell painting and thermal proteome profiling

Phenotypic screening for bioactive small molecules is typically combined with affinity-based chemical proteomics to uncover the respective molecular targets. However, such assays and the explored bioactivity are biased toward the monitored phenotype, and target identification often requires chemical derivatization of the hit compound. In contrast, unbiased cellular profiling approaches record hundreds of parameters upon compound perturbation to map bioactivity in a broader biological context and may link a profile to the molecular target or mode of action. Herein we report the discovery of the diaminopyrimidine DP68 as a Sigma 1 (σ1) receptor antagonist by combining morphological profiling using the Cell Painting assay and thermal proteome profiling. Our results highlight that integration of complementary profiling approaches may enable both detection of bioactivity and target identification for small molecules.

Challenges in small-molecule target identification: a commentary on "BDA-366, a putative Bcl-2 BH4 domain antagonist, induces apoptosis independently of Bcl-2 in a variety of cancer cell models".

Challenges in small-molecule target identification: a commentary on "BDA-366, a putative Bcl-2 BH4 domain antagonist, induces apoptosis independently of Bcl-2 in a variety of cancer cell models".

Staphylococcus aureus resistance to albocycline can be achieved by mutations that alter cellular NAD/PH pools

Small molecule target identification is a critical step in modern antibacterial drug discovery, particularly against multi-drug resistant pathogens. Albocycline (ALB) is a macrolactone natural product with potent activity against methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant S. aureus (VRSA) whose mechanism of action has been elusive to date. Herein, we report biochemical and genomic studies that reveal ALB does not target bacterial peptidoglycan biosynthesis or the ribosome; rather, it appears to modulate NADPH ratios and upregulate redox sensing in the cell consistent with previous studies at Upjohn. Owing to the complexity inherent in biological pathways, further genomic assays are needed to identify the true molecular target(s) of albocycline.

Dissecting Programmed Cell Death with Small Molecules.

Programmed cell death (PCD) is fundamentally an indispensable process in all cellular activities, including cell development, wound healing, and immune surveillance of tumors (Galluzzi, L. et al. Cell Death Differ. 2018, 25, 486-541). Malfunctioning of PCD has been shown to be closely related to human diseases such as acute pancreatitis, neurodegenerative diseases, and diverse types of cancers. To date, multiple PCD processes have been discovered and the corresponding regulatory pathways have been elucidated. For example, apoptosis and autophagy are two PCD mechanisms that have been well studied by sophisticated models and probe toolkits. However, limited genetic and chemical tools for other types of PCD hamper the elucidation of their molecular mechanisms. Our group has been studying PCD using both function-oriented synthesis and chemical biology strategies, including the development of diverse chemical probes based on novel PCD modulators. For instance, in the development of downstream programmed necrosis (or necroptosis) inhibitor necrosulfonamide, we used a chemical probe to unveil a functional protein that was not previously implicated in necroptosis, mixed lineage kinase domain-like protein (MLKL). In addition, high throughput screening and medicinal chemistry enabled the discovery of bioymifi, a small molecule agonist which selectively causes oligomerization of the death receptor 5 (DR5), to induce extrinsic apoptosis. Furthermore, we developed a biomimetic synthetic strategy based on diverse Diels-Alder reactions in the total syntheses of ainsliadimers A and B, ainsliatrimers A and B, and gonchnatiolides A-C, which are natural product inhibitors or activators for PCD. Using synthetic ainsliadimer A probe, we elucidated that ainsliadimer A inhibits the NF-κB pathway by covalently binding to Cys46 of IKKβ and triggers apoptosis of cancer cells. We have also revealed that IKKβ is allosterically inhibited by ainsliadimer A. In addition to total synthesis, we have developed a bioorthogonal click hetero-Diels-Alder cycloaddition of vinyl thioether and o-quinolinone quinone methide (TQ-ligation) to facilitate small molecule target identification. The combination of total synthesis and TQ-ligation enables subcellular imaging and identification of the cellular target of ainsliatrimer A to be PPARγ. In addition, TQ-ligation has been applied in the discovery of heat shock protein 90 (HSP90) as one of the functional target proteins for kongensin A. We also confirmed that kongensin A covalently attaches to Cys420 within HSP90 and demonstrated that kongensin A blocks the interaction between HSP90 and CDC37 and subsequently inhibits necroptosis. Our development of these diverse PCD modulators provides not only effective chemical tools for fundamental biomedical research, but also the foundation for drug discovery targeting important human diseases such as cancers and inflammation caused by malfunction of PCD.

Quantitative Proteomics Reveals Cellular Off-Targets of a DDR1 Inhibitor.

Target identification of small molecules is a great challenge but an essential step in drug discovery. Here, a quantitative proteomics approach has been used to characterize the cellular targets of DR, a DDR1 inhibitor. By taking advantage of competitive affinity-based protein profiling coupled with bioimaging, Cathepsin D (CTSD) was found to be the principle off-target of DR in human cancer cells. Further findings suggest the potential of DR as a novel CTSD inhibitor for breast cancer treatment. In addition, a trans-cyclooctene (TCO) containing probe was developed to track the binding between DR and its target proteins in living systems and could be a useful tool for DDR1 detection.

Image-Based Morphological Profiling Identifies a Lysosomotropic, Iron-Sequestering Autophagy Inhibitor.

Chemical proteomics is widely applied in small‐molecule target identification. However, in general it does not identify non‐protein small‐molecule targets, and thus, alternative methods for target identification are in high demand. We report the discovery of the autophagy inhibitor autoquin and the identification of its molecular mode of action using image‐based morphological profiling in the cell painting assay. A compound‐induced fingerprint representing changes in 579 cellular parameters revealed that autoquin accumulates in lysosomes and inhibits their fusion with autophagosomes. In addition, autoquin sequesters Fe2+ in lysosomes, resulting in an increase of lysosomal reactive oxygen species and ultimately cell death. Such a mechanism of action would have been challenging to unravel by current methods. This work demonstrates the potential of the cell painting assay to deconvolute modes of action of small molecules, warranting wider application in chemical biology.

Abstract C022: Large scale phenotypic screening using PRISM, integrated with functional genomic screening and transcriptional profiling accelerates target identification of cytotoxic small molecules

Abstract A comprehensive analysis of FDA approved drugs has shown that drug discovery through phenotypic screening yields a higher percentage of first-in-class compounds, compared to canonical target-based drug discovery. This has led to a renewed interest in phenotypic screening to identify novel mechanisms of action. The PRISM technology of adding a unique DNA barcode to cancer cell lines has been able to reduce the cost and time associated with phenotypic viability screening. Using the PRISM method, we profiled the cytotoxic activity of over 4,100 bioactive compounds in 578 barcoded cancer cell lines at one dose, followed by 8-point dose of 1100 active compounds. The use of genomically characterized cell lines from the Cancer Cell Line Encyclopedia (CCLE) allows us to identify baseline features associated with sensitivity to a particular compound. One of the compounds from the screen that we selected for follow up was BRD-K01353379, which killed 28 cancer cell lines of diverse lineages and showed a correlation between high expression of Ethanolamine Kinase 1 (ETNK1) and reduction of cell viability. Interestingly, BRD-3379 showed a similar PRISM cytotoxic profile to 2,3-DCPE, that was screened in our Repurposing effort. 2,3-DCPE is structurally similar to BRD-3379 and has been reported to induce cytotoxicity through upregulation of p21 and downregulation of Bcl-XL. To elucidate the mechanism of action of this compound we performed a genome-wide CRISPR-Cas9 resistance screen to identify molecular targets that are required for sensitivity to BRD-3379. Here, we found that loss of expression of the PRISM biomarker ETNK1 conferred resistance in a BRD-3379 sensitive cell line, JHH-7. Subsequently, we profiled metabolites in a cell line sensitive to BRD-3379 and found that the compound was phosphorylated. We confirmed in a biochemical assay that BRD-3379 is in fact a substrate of recombinant ETNK1, which phosphorylates the ethanolamine moiety of BRD-3379. Next, we transcriptionally profiled the effect of BRD-3379 by bulk RNAseq in a sensitive and non-sensitive cell line, as well as in a pool of 100 cell lines using single cell RNAseq [McFarland et al., manuscript in preparation]. Both bulk RNAseq and single cell transcriptional analysis showed that upregulation of both p21 and p57 is strongly associated with sensitivity to BRD-3379. This mechanism of action is similar to that of 2,3-DCPE. Here, we have demonstrated that by combining large-scale cell line viability screening, genomic characterization of these cell lines, genome wide CRISPR-Cas9 resistance screens, transcriptional profiling, and biochemical assays, we can facilitate rapid identification of molecular targets of small molecules and their respective mechanism of action by which they induce cytotoxicity. Citation Format: Kevin Larpenteur, Lucian de Waal, Li Wang, Mustafa Kocak, Jordan Bryan, Samantha Bender, Sulyman Barkho, Matt Kukurugya, Amy Goodale, Brenton Paolella, Min Cho, James McFarland, Michael Rothberg, Cong Zhu, Colin Trepiccio, Aviad Tsherniak, David Root, Bryson Bennett, Federica Piccioni, Josh Bittker, James Rong, Christopher Mader, David Stokoe, Ari Firestone, Todd R Golub, Jennifer Roth. Large scale phenotypic screening using PRISM, integrated with functional genomic screening and transcriptional profiling accelerates target identification of cytotoxic small molecules [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2019 Oct 26-30; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2019;18(12 Suppl):Abstract nr C022. doi:10.1158/1535-7163.TARG-19-C022

Development of a Novel Affinity Labeling Method for Target Identification of Bioactive Small Molecules

Target identification (target-ID) is an important step in elucidating the mechanisms of action of bioactive small molecules. In the past few decades, a number of target-ID methods have been developed. Among these, affinity labeling has been reliably used for specific modifications, as well as for the identification of weakly interacting protein targets, membrane-associated protein targets, and target-interacting proteins under native cellular conditions, which are generally difficult to achieve by conventional pull-down methods. In general, affinity labeling utilizes chemical probes composed of a bioactive small molecule, a reactive group, and a detection unit. However, the design and synthesis of highly functionalized chemical probes is often time-consuming. To address this issue, we have recently developed some simple affinity labeling methods using small fluorogenic tags, such as 4-alkoxy-7-nitro-2,1,3-benzoxadiazole (O-NBD), 2,3-dichloromaleimide (diCMI), and 4-azidophthalimide (AzPI), and successfully achieved the specific fluorescent labeling of target proteins, even in living cells. These methods should be useful for target-ID in phenotypic drug discovery.

Perturbation-Based Proteomic Correlation Profiling as a Target Deconvolution Methodology

Molecular target identification of small molecules, so-called target deconvolution, is a major obstacle to phenotype-based drug discovery. Here, we developed an approach called perturbation-based proteomic correlation profiling (PPCP) utilizing the correlation between protein quantity and binding activity of compounds under cellular perturbation by gene silencing and successfully identified lanosterol synthase as a molecular target of TGF-β pathway inhibitor. This PPCP concept was extended to the use of a cell line panel and provides a new option for target deconvolution.