Bioactive Small Molecules Research Articles

Anticancer Molecule Discovery via C2-Substituent Promoted Oxidative Coupling of Indole and Enolate.

SummaryC2, C3-disubstituted indole is one of the most frequently encountered motifs in bioactive alkaloids and medicinal chemistry. Thus, developing novel, concise, and efficient access to it is highly desired in drug discovery. Herein, we present such an approach to this scaffold by direct oxidative coupling of C2-substituted indoles and enolates. Compared with indole bearing no C2-substituent, higher yields (up to 96%) were obtained for C2-substituted indoles in most cases. Mechanistic studies showed the reaction went through a Fe-chelated radical-anion oxidative coupling procedure promoted by C2-substituent on indole by two means: (1) stabilizing C2-radical intermediate during the reaction; (2) reducing indole homocoupling. This approach serves as a synthetic useful tool to quickly build up bioactive small molecule library of C2, C3-disubstituted indoles, and several products showed promising anticancer activities. Besides, indomethacin and its analogs were conveniently prepared in three-step sequence efficiently, indicating the potential application of our approach in medicinal chemistry.

Functional Characterization of Genes Driving Enhanced Biological Aggressiveness of Myeloma Cells: Identification of Novel and Understudied “Drivers” of Myeloma

Loss-of-function (LOF) studies (e.g. using RNAi or CRISPR) have historically been the main functional approaches to identify and study genes which drive the biology of Multiple Myeloma(MM) or other neoplasias. We hypothesized though that substantial complementary data can be derived from systematically examining the impact of transcriptional activation of endogenous genomic loci of different genes. To perform such gain-of-function (GOF) studies in an open-ended genome-scale manner, we applied CRISPR activation approaches in 4 MM lines (MM1S, KMS11, LP1, L363) which were transduced with the dCas9-P65-HSF transcriptional activation system and the Calabrese genome-scale sgRNA library (2 pooled sub-libraries; total of ~110,000 sgRNAs targeting promoters of ~18000 genes; initial coverage ~800-1000 cells/sgRNA). Next generation sequencing quantified the sgRNA abundance in MM cells at baseline and various time points (e.g. 2-12 weeks of culture), and rank aggregation algorithms identified genes with statistically significant enrichment or depletion of their sgRNAs, reflecting positive vs. negative, respectively, effects of GOF of these genes on MM cell survival/proliferation. These studies identified distinct groups of genes which serve as positive regulators of MM cell growth in at least 3 of the cell lines tested, including critical transcription factors (TFs)/cofactors, such as POU2F2, POU2AF1, IRF4, MYC; growth factor signaling mediators, such as IGF1R and IRS1; Ras family members (e.g. KRAS in MM1S cells); diverse members of the solute carrier family of transporters for amino acids and other bioactive small molecules. We also observed positive regulators of MM cell growth with distinct roles in certain cell lines, e.g. induction of IKZF3, IKZF1, RELA, CD48, MBNL1, PAX2 exhibited significantly more pronounced role as positive regulators of MM1S cells compared to the other cell lines tested. Notably, several positive regulators of MM growth identified in these CRISPR activation studies are not essential for MM cell survival/proliferation in CRISPR knockout studies in the same MM cell lines or many others. Examples of such genes include the TFs POU2F2 (Oct2) and PAX2, the TRAF interacting protein TIFA or the Toll-like receptor TLR4. We went on to validate these results for several such genes (e.g. POU2F2, POU2AF1) with individual sgRNAs for CRISPR activation and/or cDNA overexpression (vs. isogenic controls) in competition experiments and cell cycle analyses. We focused on further probing the mechanistic basis for the role of POU2AF1 as one of the top positive regulators of MM cell growth and performed RNA sequencing analyses of LP1 cells harboring induction of POU2AF1 expression using CRISPR activation. We observed upregulation of a distinct cluster of >50 genes that are themselves positive regulators of LP1 cell growth in our genome-scale CRISPR activation studies. While some of these are known drivers of tumor cell growth (e.g. AURKB, E2F1, FGFR3), the large majority of these POU2AF1-driven positive regulators of MM cell growth have not been previously studied in MM; and exhibit a distinct enrichment for transcriptional regulators and other genes which are not required for LP1 cell survival/proliferation in CRISPR KO studies of LP1 cells. These results indicate that CRISPR-based activation of endogenous gene expression provides data which complementary to those derived from CRISPR LOF studies. Indeed, we not only validated through our GOF studies the relevance of genes which with prominent essentiality in CRISPR LOF studies (e.g. IRF4, POU2AF1, etc.), but also identified promising new candidate regulators of MM cell biology which are not essential for baseline survival/growth of MM cells, but can induce MM cell growth when further activated. These results provide novel insights into the biology of MM cells and may have therapeutic implications towards suppressing the ability of MM cells to transition to states of advanced biological aggressiveness. Disclosures Mitsiades: Takeda: Other: employment of a relative ; Ionis Pharmaceuticals: Honoraria; Fate Therapeutics: Honoraria; Arch Oncology: Research Funding; Sanofi: Research Funding; Karyopharm: Research Funding; Abbvie: Research Funding; TEVA: Research Funding; EMD Serono: Research Funding; Janssen/Johnson & Johnson: Research Funding.

Antiproliferative activity and apoptosis induction, of organo-antimony(III)-copper(I) conjugates, against human breast cancer cells.

Three known organo-antimony(III)-copper(I), mixed-metal small bioactive molecules (SBAMs) of formula [Cu(tpSb)3Cl] (1), [Cu2(tpSb)4Br2] (2) and [Cu2(tpSb)4I2] (3) (tpSb = triphenylstibine) were used for the clarification of their antiproliferative activity against human breast cancer cells: MCF-7 (hormone-dependent cells) and MDA-MB-231 (hormone-independent cells). The in vitro toxicity of 1-3 was studied against normal human foetal lung fibroblast cells (MRC-5). The genotoxicity of 1-3 was determined by the presence of micronucleus. The type of the cell death caused by 1-3 was determined using cell cycle arrest. The molecular mechanism of action of 1-3 was defined by their binding affinity towards CT-DNA (calf thymus DNA) using UV spectroscopy and viscosity measurements. Docking studies depict the interactions between 1-3 and DNA. Computations were also employed in order to rationalize the activity of these compounds. This is based on the contribution of metal aromaticity in the case of compounds 2 and 3 where the short Cu···Cu distance (2.7724(6) (2) and 2.7251(11) (3) Ǻ, respectively) suggests d10-d10 interaction between metal centres. The known small bioactive molecules of formula [Cu(tpSb)3Cl] (1), [Cu2(tpSb)4Br2] (2) and [Cu2(tpSb)4I2] (3) (tpSb = triphenylstibine) were used for the clarification of their antiproliferative activity against human breast cancer cells: MCF-7 (hormone-dependent (HD) cells) and MDA-MB-231 (hormone-independent (HI) cells).

Covalent-Allosteric Inhibitors to Achieve Akt Isoform-Selectivity.

Isoforms of protein kinase Akt are involved in essential processes including cell proliferation, survival, and metabolism. However, their individual roles in health and disease have not been thoroughly evaluated. Thus, there is an urgent need for perturbation studies, preferably mediated by highly selective bioactive small molecules. Herein, we present a structure‐guided approach for the design of structurally diverse and pharmacologically beneficial covalent‐allosteric modifiers, which enabled an investigation of the isoform‐specific preferences and the important residues within the allosteric site of the different isoforms. The biochemical, cellular, and structural evaluations revealed interactions responsible for the selective binding profiles. The isoform‐selective covalent‐allosteric Akt inhibitors that emerged from this approach showed a conclusive structure–activity relationship and broke ground in the development of selective probes to delineate the isoform‐specific functions of Akt kinases.

Covalent‐Allosteric Inhibitors to Achieve Akt Isoform‐Selectivity

AbstractIsoforms of protein kinase Akt are involved in essential processes including cell proliferation, survival, and metabolism. However, their individual roles in health and disease have not been thoroughly evaluated. Thus, there is an urgent need for perturbation studies, preferably mediated by highly selective bioactive small molecules. Herein, we present a structure‐guided approach for the design of structurally diverse and pharmacologically beneficial covalent‐allosteric modifiers, which enabled an investigation of the isoform‐specific preferences and the important residues within the allosteric site of the different isoforms. The biochemical, cellular, and structural evaluations revealed interactions responsible for the selective binding profiles. The isoform‐selective covalent‐allosteric Akt inhibitors that emerged from this approach showed a conclusive structure–activity relationship and broke ground in the development of selective probes to delineate the isoform‐specific functions of Akt kinases.

Synthetic protein-conductive membrane nanopores built with DNA

Nanopores are key in portable sequencing and research given their ability to transport elongated DNA or small bioactive molecules through narrow transmembrane channels. Transport of folded proteins could lead to similar scientific and technological benefits. Yet this has not been realised due to the shortage of wide and structurally defined natural pores. Here we report that a synthetic nanopore designed via DNA nanotechnology can accommodate folded proteins. Transport of fluorescent proteins through single pores is kinetically analysed using massively parallel optical readout with transparent silicon-on-insulator cavity chips vs. electrical recordings to reveal an at least 20-fold higher speed for the electrically driven movement. Pores nevertheless allow a high diffusive flux of more than 66 molecules per second that can also be directed beyond equillibria. The pores may be exploited to sense diagnostically relevant proteins with portable analysis technology, to create molecular gates for drug delivery, or to build synthetic cells.

The Signaling Pathways Project, an integrated \u2018omics knowledgebase for mammalian cellular signaling pathways

Mining of integrated public transcriptomic and ChIP-Seq (cistromic) datasets can illuminate functions of mammalian cellular signaling pathways not yet explored in the research literature. Here, we designed a web knowledgebase, the Signaling Pathways Project (SPP), which incorporates community classifications of signaling pathway nodes (receptors, enzymes, transcription factors and co-nodes) and their cognate bioactive small molecules. We then mapped over 10,000 public transcriptomic or cistromic experiments to their pathway node or biosample of study. To enable prediction of pathway node-gene target transcriptional regulatory relationships through SPP, we generated consensus ‘omics signatures, or consensomes, which ranked genes based on measures of their significant differential expression or promoter occupancy across transcriptomic or cistromic experiments mapped to a specific node family. Consensomes were validated using alignment with canonical literature knowledge, gene target-level integration of transcriptomic and cistromic data points, and in bench experiments confirming previously uncharacterized node-gene target regulatory relationships. To expose the SPP knowledgebase to researchers, a web browser interface was designed that accommodates numerous routine data mining strategies. SPP is freely accessible at https://www.signalingpathways.org.

Pushing the Envelope: Advancement of ADCs Outside of Oncology.

The majority of ADCs in preclinical and clinical development are for oncology indications where cytotoxic payloads are targeted to antigen-expressing cancer cells. However, the modulation of pathogenic cellular activity via ADC-mediated delivery of bioactive small molecules is also an attractive concept for non-oncology indications leading to an expanded application of the technology. Here we summarize those ADCs that have been described so far for non-oncology applications and which cover a variety of payload mechanisms beyond cell killing, from early in vitro proof-of-concept experiments to clinical trials. As our understanding of ADC technology continues to grow, it is anticipated that the development of ADCs as therapeutics for disease areas outside of oncology will also increase.

Access to Cyclic β‐Amino Acids by Amine‐Catalyzed Enantioselective Addition of the γ‐Carbon Atoms of α,β‐Unsaturated Imines to Enals

AbstractDisclosed herein is a new catalytic approach for an efficient access to cyclic β‐amino acids widely found in bioactive small molecules and peptidic foldamers. Our method involves addition of the remote γ‐carbon atoms of α,β‐unsaturated imines to enals by iminium organic catalysis. This highly chemo‐ and stereo‐selective reaction affords cyclic β‐amino aldehydes that can be converted to amino acids bearing quaternary stereocenters with exceptional optical purities. Our study demonstrates the unique power of organic catalytic remote carbon reactions in rapid synthesis of functional molecules.

Access to Cyclic β-Amino Acids by Amine-Catalyzed Enantioselective Addition of the γ-Carbon Atoms of α,β-Unsaturated Imines to Enals.

Disclosed herein is a new catalytic approach for an efficient access to cyclic β-amino acids widely found in bioactive small molecules and peptidic foldamers. Our method involves addition of the remote γ-carbon atoms of α,β-unsaturated imines to enals by iminium organic catalysis. This highly chemo- and stereo-selective reaction affords cyclic β-amino aldehydes that can be converted to amino acids bearing quaternary stereocenters with exceptional optical purities. Our study demonstrates the unique power of organic catalytic remote carbon reactions in rapid synthesis of functional molecules.

TPGS-mediated one-pot synthesis, XRD structural analysis, antimicrobial evaluation and molecular docking of novel heterocycles as potential inhibitors of p53-MDM2 protein

Abstract Novel heterocyclic bioactive small molecules bearing thioether moiety, fluorine containing dihydro pyridine and dihydro pyran were synthesized and characterized using spectroscopic methods (FT-IR, 1H, 13C and 19F NMR), LC-MS and SC-XRD. The reaction conducted is highly environment-friendly involving d -α-Tocopherol polyethylene glycol succinate (TPGS) - Water binary solvent as reaction medium. All of the synthesized final compounds were evaluated against 2 g-negative [Escherichia coli (ATCC 25922) and Pseudomonas aeruginosa (ATCC 27853)] and 1 g-positive [Staphylococcus aureus (ATCC 29213)] bacterial strains by in vitro. Molecular docking experiments were carried out against p53-MDM2 tumor suppressor protein to gain more insights into the binding mode of the final compounds. In this study, we discovered potent p53-MDM2 inhibition by 2-thiobenzyl-3-formyl quinoline, 2-thio-1,2-dihydroquinoline-3-formyl N-substituted thiosemi-carbazone and fluorine substituted new pyridine and pyran derivatives by structure-based design.

STarFish: A Stacked Ensemble Target Fishing Approach and its Application to Natural Products.

Target fishing is the process of identifying the protein target of a bioactive small molecule. To do so experimentally requires a significant investment of time and resources, which can be expedited with a reliable computational target fishing model. The development of computational target fishing models using machine learning has become very popular over the last several years because of the increased availability of large amounts of public bioactivity data. Unfortunately, the applicability and performance of such models for natural products has not yet been comprehensively assessed. This is, in part, due to the relative lack of bioactivity data available for natural products compared to synthetic compounds. Moreover, the databases commonly used to train such models do not annotate which compounds are natural products, which makes the collection of a benchmarking set difficult. To address this knowledge gap, a data set composed of natural product structures and their associated protein targets was generated by cross-referencing 20 publicly available natural product databases with the bioactivity database ChEMBL. This data set contains 5589 compound-target pairs for 1943 unique compounds and 1023 unique targets. A synthetic data set comprising 107 190 compound-target pairs for 88 728 unique compounds and 1907 unique targets was used to train k-nearest neighbors, random forest, and multilayer perceptron models. The predictive performance of each model was assessed by stratified 10-fold cross-validation and benchmarking on the newly collected natural product data set. Strong performance was observed for each model during cross-validation with area under the receiver operating characteristic (AUROC) scores ranging from 0.94 to 0.99 and Boltzmann-enhanced discrimination of receiver operating characteristic (BEDROC) scores from 0.89 to 0.94. When tested on the natural product data set, performance dramatically decreased with AUROC scores ranging from 0.70 to 0.85 and BEDROC scores from 0.43 to 0.59. However, the implementation of a model stacking approach, which uses logistic regression as a meta-classifier to combine model predictions, dramatically improved the ability to correctly predict the protein targets of natural products and increased the AUROC score to 0.94 and BEDROC score to 0.73. This stacked model was deployed as a web application, called STarFish, and has been made available for use to aid in target identification for natural products.

Small Molecule Interactome Mapping by Photo-Affinity Labeling (SIM-PAL) to Identify Binding Sites of Small Molecules on a Proteome-Wide Scale.

Identification and characterization of small molecule-protein interactions is critical to understanding the mechanism of action of bioactive small molecules. Photo-affinity labeling (PAL) enables the capture of noncovalent interactions for enrichment and unbiased analysis by mass spectrometry (MS). Quantitative proteomics of the enriched proteome reveals potential interactions, and MS characterization of binding sites provides validation and structural insight into the interactions. Here, we describe the identification of the protein targets and binding sites of a small molecule using small molecule interactome mapping by PAL (SIM-PAL). Cells are exposed to a diazirine-alkyne-functionalized small molecule, and binding interactions are covalently captured upon UV irradiation. An isotopically coded, acid-cleavable biotin azide handle is attached to the conjugated proteins using copper-catalyzed azide-alkyne cycloaddition. Biotin-labeled proteins are enriched for on-bead digestion and quantitative proteomics. Acid cleavage of the handle releases the bead-bound conjugated peptides for MS analysis and isotope-directed assignment of the binding site. © 2019 by John Wiley & Sons, Inc. Basic Protocol 1: Generation of a small molecule-conjugated protein sample following treatment of live cells Alternate Protocol: Generation of a small molecule-conjugated protein sample following treatment of cell lysate Basic Protocol 2: Copper-catalyzed azide-alkyne cycloaddition functionalization and enrichment of labeled peptides Support Protocol 1: Synthesis of acid-cleavable, isotopically coded biotin picolyl azide handle Support Protocol 2: Monitoring enrichment by immunoblotting Basic Protocol 3: Mass spectrometry analysis to identify interacting proteins and conjugation sites.

Influence of Human Serum Albumin Glycation on the Binding Affinities for Natural Flavonoids

AbstractIncreasing the degree of glycation in diabetes could affect the ability of plasma proteins in binding to small molecules and active compounds. In this study, the influence of glycation of Human serum albumin (HSA) on the binding affinities for six dietary flavonoids was investigated by fluorescence spectra. Glycated HSA was prepared through incubation with glucose and characterized by several methods to confirm the glycation. It was found that the level of glycation increased with the increasing incubation time. The glycation of HSA increased the binding affinities for flavonoids by 1.40 to 48.42 times, which indicates that modifications caused by the glycation may have different influences on the interactions of flavonoids with HSA at separate binding sites on this protein. These results are valuable for understanding the influence of diabetes on the metabolism of flavonoids and other bioactive small molecules in human body.

Identification of Bioactive Small Molecule Inhibitors of Separase

Separase, a cysteine protease of the CD clan, triggers chromosome segregation during mitosis by cleaving the cohesin ring entrapping the two sister chromatids. Deregulated separase activity is associated with aneuploidy, a hallmark of most human cancers. In fact, separase is highly overexpressed in many solid cancers, making it an attractive chemotherapeutic target. To identify small molecules capable of inhibiting separase in its complex cellular environment, we established a highly sensitive assay to quantify separase activity in cells and screened a 51 009-member library for separase inhibitors. In vitro assays confirmed that the identified compounds efficiently inhibited separase, while not affecting caspase-1, another CD-clan protease structurally related to separase. Importantly, HeLa cells with compromised separase activity displayed severe chromosome segregation defects upon compound treatment, confirming that the identified inhibitors are bioactive in tumor tissue culture cells. Structure-activity relationship studies succeeded in the optimization of the most promising inhibitor. Overall, this study demonstrates the feasibility of identifying separase-specific inhibitors, which serve as promising lead compounds for the development of clinically relevant separase inhibiting drugs.

Bioactive Synthetic-Bioinformatic Natural Product Cyclic Peptides Inspired by Nonribosomal Peptide Synthetase Gene Clusters from the Human Microbiome.

Bioinformatic analysis of sequenced bacterial genomes has uncovered an increasing number of natural product biosynthetic gene clusters (BGCs) to which no known bacterial metabolite can be ascribed. One emerging method we have investigated for studying these BGCs is the synthetic-Bioinformatic Natural Product (syn-BNP) approach. The syn-BNP approach replaces transcription, translation, and in vivo enzymatic biosynthesis of natural products with bioinformatic algorithms to predict the output of a BGC and in vitro chemical synthesis to produce the predicted structure. Here we report on expanding the syn-BNP approach to the design and synthesis of cyclic peptides inspired by nonribosomal peptide synthetase BGCs associated with the human microbiota. While no syn-BNPs we tested inhibited the growth of bacteria or yeast, five were found to be active in the human cell-based MTT metabolic activity assay. Interestingly, active peptides were mostly inspired by BGCs found in the genomes of opportunistic pathogens that are often more commonly associated with environments outside the human microbiome. The cyclic syn-BNP studies presented here provide further evidence of its potential for identifying bioactive small molecules directly from the instructions encoded in the primary sequences of natural product BGCs.

Luciferase‐Induced Photouncaging: Bioluminolysis

AbstractBioluminescence resonance energy transfer (BRET) has been widely used for studying dynamic processes in biological systems such as protein–protein interactions and other signaling events. Aside from acting as a reporter, BRET can also turn on functions in living systems. Herein, we report the application of BRET to performing a biorthogonal reaction in living cells; namely, releasing functional molecules through energy transfer to a coumarin molecule, a process termed bioluminolysis. An efficient BRET from Nanoluc‐Halotag chimera protein (H‐Luc) to a coumarin substrate yields the excited state of coumarin, which in turn triggers hydrolysis to uncage a target molecule. Compared to the conventional methods, this novel uncaging system requires no external light source and shows fast kinetics (t1/2<2 min). We applied this BRET uncaging system to release a potent kinase inhibitor, ibrutinib, in living cells, highlighting its broad utility in controlling the supply of bioactive small molecules in vivo.

Luciferase-Induced Photouncaging: Bioluminolysis.

Bioluminescence resonance energy transfer (BRET) has been widely used for studying dynamic processes in biological systems such as protein-protein interactions and other signaling events. Aside from acting as a reporter, BRET can also turn on functions in living systems. Herein, we report the application of BRET to performing a biorthogonal reaction in living cells; namely, releasing functional molecules through energy transfer to a coumarin molecule, a process termed bioluminolysis. An efficient BRET from Nanoluc-Halotag chimera protein (H-Luc) to a coumarin substrate yields the excited state of coumarin, which in turn triggers hydrolysis to uncage a target molecule. Compared to the conventional methods, this novel uncaging system requires no external light source and shows fast kinetics (t1/2 <2 min). We applied this BRET uncaging system to release a potent kinase inhibitor, ibrutinib, in living cells, highlighting its broad utility in controlling the supply of bioactive small molecules in vivo.

Application of the SwissDrugDesign Online Resources in Virtual Screening.

SwissDrugDesign is an important initiative led by the Molecular Modeling Group of the SIB Swiss Institute of Bioinformatics. This project provides a collection of freely available online tools for computer-aided drug design. Some of these web-based methods, i.e., SwissSimilarity and SwissTargetPrediction, were especially developed to perform virtual screening, while others such as SwissADME, SwissDock, SwissParam and SwissBioisostere can find applications in related activities. The present review aims at providing a short description of these methods together with examples of their application in virtual screening, where SwissDrugDesign tools successfully supported the discovery of bioactive small molecules.

A Metabolome- and Metagenome-Wide Association Network Reveals Microbial Natural Products and Microbial Biotransformation Products from the Human Microbiota.

The human microbiome consists of thousands of different microbial species, and tens of thousands of bioactive small molecules are associated with them. These associated molecules include the biosynthetic products of microbiota and the products of microbial transformation of host molecules, dietary components, and pharmaceuticals. The existing methods for characterization of these small molecules are currently time consuming and expensive, and they are limited to the cultivable bacteria. Here, we propose a method for detecting microbiota-associated small molecules based on the patterns of cooccurrence of molecular and microbial features across multiple microbiomes. We further map each molecule to the clade in a phylogenetic tree that is responsible for its production/transformation. We applied our proposed method to the tandem mass spectrometry and metagenomics data sets collected by the American Gut Project and to microbiome isolates from cystic fibrosis patients and discovered the genes in the human microbiome responsible for the production of corynomycolenic acid, which serves as a ligand for human T cells and induces a specific immune response against infection. Moreover, our method correctly associated pseudomonas quinolone signals, tyrvalin, and phevalin with their known biosynthetic gene clusters.IMPORTANCE Experimental advances have enabled the acquisition of tandem mass spectrometry and metagenomics sequencing data from tens of thousands of environmental/host-oriented microbial communities. Each of these communities contains hundreds of microbial features (corresponding to microbial species) and thousands of molecular features (corresponding to microbial natural products). However, with the current technology, it is very difficult to identify the microbial species responsible for the production/biotransformation of each molecular feature. Here, we develop association networks, a new approach for identifying the microbial producer/biotransformer of natural products through cooccurrence analysis of metagenomics and mass spectrometry data collected on multiple microbiomes.