Ligand Screening Research Articles

Determination of glycated albumin in serum and saliva by capillary electrophoresis utilizing affinity of 3-acrylamido phenylboronic acid selected by virtual screening and molecular docking

The glycated albumin (G-alb) is a potential marker of hyperglycemia in diabetes and other neurodegenerative disorders in humans. G-alb's presence in the total human serum albumin (tHSA) is an important indicator in the timely diagnosis of disease. To identify G-alb content, it needs to be isolated from non-glycated albumin (NG-alb). Here, we present Capillary electrophoresis (CE) methods with 3-acrylamido phenylboronic acid (3-APBA) as an entrapped ligand in the agarose gel to develop agarose-3-APBA functional capillary and as an affinity ligand added to the buffer without agarose. 3-APBA was selected by computational virtual screening of several phenylboronic acid (PBA) compounds and other ligands to bind G-alb and separate from NG-alb selectively. The agarose-3-APBA functional capillary method involved agarose gel dilution approach coupled with injection pressure to obtain reduced viscosity and sufficient injection volume of protein samples. The method delivered separation in 9.7 min, with a resolution of 3.4, G-alb recovery up to 65%, and took 25 min to complete the entire process. The second method involved 3-APBA as an affinity ligand in the buffer and delivered separation in 4.2 min, with a resolution of 6.4, G-alb recovery up to 102% recovery, with relatively easy procedures. Therefore, it was further applied to determine G-alb content from tHSA in human serum and saliva. The G-alb found content in serum samples was in the range of 21. 1 ± ± 1.4% to 40.5 ± 1.6% out of tHSA and 25.1 ± 1.6% to 33.3 1.4% in saliva. The binding mechanisms were investigated by molecular dockings, which revealed hydrogen bonding, π-π, and van der walls interactions between 3-APBA and G-alb. The affinity was validated by affinity capillary electrophoresis (ACE), which revealed relatively strong interactions between 3-APBA and G-alb with the binding constant (Kb) of 4.53 × 109M − 1 to the 3.41 × 108M − 1 of 3-APBA and NG-alb. The affinity of 3-APBA toward G-alb was increased at pH 9.0 of the borax-borate (BB) buffer as background electrolyte (BGE). The limit of detection (LOD) was 10 nM, repeatability (RSD, n = 3) ≤ 1.4%, and recovery rate was 87.8 ± 1.6 to 100 ± 1.4% in serum and 97.3 ± 1.3 to 102.6 ± 1.1% in saliva. The sensitivity and reproducibility of the method met the detection requirements.

Free energy calculations of the functional selectivity of 5-HT2B G protein-coupled receptor.

G Protein-Coupled Receptors (GPCRs) mediate intracellular signaling in response to extracellular ligand binding and are the target of one-third of approved drugs. Ligand binding modulates the GPCR molecular free energy landscape by preferentially stabilizing active or inactive conformations that dictate intracellular protein recruitment and downstream signaling. We perform enhanced sampling molecular dynamics simulations to recover the free energy surfaces of a thermostable mutant of the GPCR serotonin receptor 5-HT2B in the unliganded form and bound to a lysergic acid diethylamide (LSD) agonist and lisuride antagonist. LSD binding imparts a ∼110 kJ/mol driving force for conformational rearrangement into an active state. The lisuride-bound form is structurally similar to the apo form and only ∼24 kJ/mol more stable. This work quantifies ligand-induced conformational specificity and functional selectivity of 5-HT2B and presents a platform for high-throughput virtual screening of ligands and rational engineering of the ligand-bound molecular free energy landscape.

Computational screening for potential drug candidates against the SARS-CoV-2 main protease

Background: SARS-CoV-2 is the causal agent of the current coronavirus disease 2019 (COVID-19) pandemic. They are enveloped, positive-sense, single-stranded RNA viruses of the Coronaviridae family. Proteases of SARS-CoV-2 are necessary for viral replication, structural assembly, and pathogenicity. The approximately 33.8 kDa M pro protease of SARS-CoV-2 is a non-human homologue and is highly conserved among several coronaviruses, indicating that M pro could be a potential drug target for Coronaviruses. Methods: Herein, we performed computational ligand screening of four pharmacophores (OEW, remdesivir, hydroxychloroquine and N3) that are presumed to have positive effects against SARS-CoV-2 M pro protease (6LU7), and also screened 50,000 natural compounds from the ZINC Database dataset against this protease target. Results: We found 40 pharmacophore-like structures of natural compounds from diverse chemical classes that exhibited better affinity of docking as compared to the known ligands. The 11 best selected ligands, namely ZINC1845382, ZINC1875405, ZINC2092396, ZINC2104424, ZINC44018332, ZINC2101723, ZINC2094526, ZINC2094304, ZINC2104482, ZINC3984030, and ZINC1531664, are mainly classified as beta-carboline, alkaloids, and polyflavonoids, and all displayed interactions with dyad CYS145 and HIS41 from the protease pocket in a similar way as other known ligands. Conclusions: Our results suggest that these 11 molecules could be effective against SARS-CoV-2 protease and may be subsequently tested in vitro and in vivo to develop novel drugs against this virus.

Structure-Based Virtual Screening of Ultra-Large Library Yields Potent Antagonists for a Lipid GPCR.

Cysteinyl leukotriene G protein-coupled receptors, CysLT1R and CysLT2R, regulate bronchoconstrictive and pro-inflammatory effects and play a key role in allergic disorders, cardiovascular diseases, and cancer. CysLT1R antagonists have been widely used to treat asthma disorders, while CysLT2R is a potential target against uveal melanoma. However, very few selective antagonist chemotypes for CysLT receptors are available, and the design of such ligands has proved to be challenging. To overcome this obstacle, we took advantage of recently solved crystal structures of CysLT receptors and an ultra-large Enamine REAL library, representing a chemical space of 680 M readily available compounds. Virtual ligand screening employed 4D docking models comprising crystal structures of CysLT1R and CysLT2R and their corresponding ligand-optimized models. Functional assessment of the candidate hits yielded discovery of five novel antagonist chemotypes with sub-micromolar potencies and the best Ki = 220 nM at CysLT1R. One of the hits showed inverse agonism at the L129Q constitutively active mutant of CysLT2R, with potential utility against uveal melanoma.

Ligand and Structure-based Virtual Screening of Lamiaceae Diterpenes with Potential Activity against a Novel Coronavirus (2019-nCoV).

The emergence of a new coronavirus (CoV), named 2019-nCoV, as an outbreak originated in the city of Wuhan, China, has resulted in the death of more than 3,400 people this year alone and has caused worldwide an alarming situation, particularly following previous CoV epidemics, including the Severe Acute Respiratory Syndrome (SARS) in 2003 and the Middle East Respiratory Syndrome (MERS) in 2012. Currently, no exists for infections caused by CoVs; however, some natural products may represent potential treatment resources, such as those that contain diterpenes. This study aimed to use computational methods to perform a virtual screening (VS) of candidate diterpenes with the potential to act as CoV inhibitors. 1,955 diterpenes, derived from the Nepetoideae subfamily (Lamiaceae), were selected using the SistematX tool (https://sistematx.ufpb.br), which were used to make predictions. From the ChEMBL database, 3 sets of chemical structures were selected for the construction of predictive models. The chemical structures of molecules with known activity against SARS CoV, two of which were tested for activity against specific viral proteins and one of which was tested for activity against the virus itself, were classified according to their pIC50 values [-log IC50 (mol/l)]. In the consensus analysis approach, combining both ligand- and structure-based VSs, 19 compounds were selected as potential CoV inhibitors, including isotanshinone IIA (01), tanshinlactone (02), isocryptotanshinone (03), and tanshinketolactone (04), which did not present toxicity within the evaluated parameters.

Fragment-Based Discovery of Irreversible Covalent Inhibitors of Cysteine Proteases Using Chlorofluoroacetamide Library.

Fragment-based approach combined with electrophilic reactive compounds is a powerful strategy to discover novel covalent ligands for protein target. However, the promiscuous reactivity often interferes with identification of the fragments possessing specific binding affinity to the targeted protein. In our study, we report the fragment-based covalent drug discovery using the chemically tuned weak reactivity of chlorofluoroacetamide (CFA). We constructed a small fragment library composed of 30 CFA-appended compounds and applied it to the covalent ligand screening for cysteine protease papain as a model protein target. Using the fluorescence enzymatic assay, we identified CFA-benzothiazole 30 as a papain inhibitor, which was found to irreversibly inactivate papain upon enzyme kinetic analysis. The formation of the covalent papain-30 adduct was confirmed using electrospray ionization mass spectrometry analysis. The activity-based protein profiling (ABPP) experiment using an alkynylated analog of 30 (i.e., 30-yne) revealed that 30-yne covalently labeled papain with high selectivity. These data demonstrate potential utility of the CFA-fragment library for de novo discovery of target selective covalent inhibitors.

Human Papillomavirus G-Rich Regions as Potential Antiviral Drug Targets.

Herein, we report, for the first time, the screening of several ligands in terms of their ability to bind and stabilize G-quadruplexes (G4) found in seven human Papillomavirus (HPV) genomes. Using a variety of biophysical assays, HPV G-quadruplexes were shown to possess a high degree of structural polymorphism upon ligand binding, which may have an impact on transcription, replication, and viral protein production. A sequence found in high-risk HPV16 genotype folds into multiple non-canonical DNA structures; it was converted into a major G4 conformation upon interaction with a well-characterized highly selective G4 ligand, PhenDC3, which may have an impact on the viral infection. Likewise, HPV57 and 58, which fold into multiple G4 structures, were found to form single stable complexes in the presence of two other G4 ligands, C8 and pyridostatin, respectively. In addition, one of the selected compounds, the acridine derivative C8, demonstrated a significant antiviral effect in HPV18-infected organotypic raft cultures. Altogether, these results indicate that targeting HPV G4s may be an alternative route for the development of novel antiviral therapies.

Identification of novel αβ-tubulin modulators with antiproliferative activity directed to cancer therapy using ligand and structure-based virtual screening

Among several strategies related to cancer therapy targeting the modulation of αβ-tubulin has shown encouraging findings, more specifically when this is achieved by inhibitors located at the colchicine binding site. In this work, we aim to fish new αβ-tubulin modulators through a diverse and rational VS study, and thus, exhibiting the development of two VS pipelines. This allowed us to identify two compounds 5 and 9 that showed IC50 values of 19.69 and 21.97 μM, respectively, towards possible modulation of αβ-tubulin, such as assessed by in vitro assays in C6 glioma and HEPG2 cell lines. We also evaluated possible mechanisms of action of obtained hits towards the colchicine binding site of αβ-tubulin by using docking approaches. In addition, assessment of the stability of the active (5 and 9) and inactive compounds (3 and 13) within the colchicine binding site was carried out by molecular dynamics (MD) simulations, highlighting the solvent effect and revealing the compound 5 as the most stable in the complex. At last, deep analysis of these results provided some valuable insights on the importance of using mixed ligand- and structure-based strategies in VS campaigns, in order to achieve higher chemical diversity and biological effect as well.

Phosphoenolpyruvate carboxykinase from T. cruzi magnetic beads affinity-based screening assays on crude plant extracts from Brazilian Cerrado

In T. cruzi, a causative agent of Chagas disease, phosphoenolpyruvate carboxykinase (TcPEPCK) is associated with carbohydrate catabolism. Due to its importance in the metabolism of the parasite, it has become a promising target for the development of new drugs against Chagas disease. Aiming to investigate different approaches for ligands screening, TcPEPCK was immobilized on amine-terminated magnetic beads (TcPEPCK-MB) and kinetically characterized by liquid chromatography tandem mass spectrometry activity assay with a KMapp value of 10 ± 1 μM to oxaloacetate as substrate. Natural products library affords highly diverse molecular frameworks through their secondary metabolites, herein a ligand fishing TcPEPCK-MB assay is described for prospecting ligands in four ethanolic extracts of Brazilian Cerrado plants: Qualea grandiflora (Vochysiaceae), Diospyros burchellii (Ebenaceae), Anadenanthera falcata (Fabaceae) and Byrsonima coccolobifolia (Malpighiaceae). The chemical characterization of eleven identified ligands was carried out by liquid chromatography tandem high-resolution mass spectrometry experiments. Senecic acid, syneilesinolide A, phytosphingosine and vanillic acid 4-glucopyranoside are herein reported for the first time for Q. grandiflora, D. burchellii, A. falcata, respectively. In addition, the specificity of the assay was observed since only catechin was fished out from the ethanolic extract of B. coccolobifolia leaves, despite the presence of epicatechin epimer.

Metabolism and biological functions of 12(S)-hydroxyheptadeca-5Z,8E,10E-trienoic acid

12(S)-hydroxyheptadeca-5Z,8E,10E-trienoic acid (12-HHT) is a 17-carbon hydroxy fatty acid that is biosynthesized either by enzymatic pathways, like thromboxane synthase (TXAS) and cytochrome P450 or a non-enzymatic pathway. TXAS catalyzes the isomerization reaction from PGH2 to 12-HHT, malondialdehyde, and TXA2 at a ratio of 1:1:1. Furthermore, 12-HHT has been considered as a mere byproduct of TXA2 biosynthesis, and its biological function has long been uncertain. BLT2 was initially identified as a low-affinity leukotriene B4 (LTB4) receptor, which is also activated by various hydroxy-eicosatetraenoic acids (HETEs), suggesting that BLT2 may be activated by other endogenous ligands apart from LTB4 and HETEs. By unbiased ligand screening using crude lipids from rat organs, 12-HHT has been identified as an endogenous agonist for BLT2. The 12-HHT–BLT2 axis induces mast cell migration and contributes to allergic inflammation. BLT2 is also expressed in epithelial cells of the small intestine and skin in mice and contributes to in vivo epithelial barrier functions.

Discovery of a Novel Natural Allosteric Inhibitor That Targets NDM-1 Against Escherichia coli.

At present, the resistance of New Delhi metallo-β-lactamase-1 (NDM-1) to carbapenems and cephalosporins, one of the mechanisms of bacterial resistance against β-lactam antibiotics, poses a threat to human health. In this work, based on the virtual ligand screen method, we found that carnosic acid1 (CA), a natural compound, exhibited a significant inhibitory effect against NDM-1 (IC50 = 27.07 μM). Although carnosic acid did not display direct antibacterial activity, the combination of carnosic acid and meropenem still showed bactericidal activity after the loss of bactericidal effect of meropenem. The experimental results showed that carnosic acid can enhance the antibacterial activity of meropenem against Escherichia coli ZC-YN3. To explore the inhibitory mechanism of carnosic acid against NDM-1, we performed the molecular dynamics simulation and binding energy calculation for the NDM-1-CA complex system. Notably, the 3D structure of the complex obtained from molecular modeling indicates that the binding region of carnosic acid with NDM-1 was not situated in the active region of protein. Due to binding to the allosteric pocket of carnosic acid, the active region conformation of NDM-1 was observed to have been altered. The distance from the active center of the NDM-1-CA complex was larger than that of the free protein, leading to loss of activity. Then, the mutation experiments showed that carnosic acid had lower inhibitory activity against mutated protein than wild-type proteins. Fluorescence experiments verified the results reported above. Thus, our data indicate that carnosic acid is a potential NDM-1 inhibitor and is a promising drug for the treatment of NDM-1 producing pathogens.

Beyond the Canonical Endocannabinoid System. A Screening of PPAR Ligands as FAAH Inhibitors.

In recent years, Peroxisome Proliferator-Activated Receptors (PPARs) have been connected to the endocannabinoid system. These nuclear receptors indeed mediate the effects of anandamide and similar substances such as oleoyl-ethanolamide and palmitoyl-ethanolamide. An increasing body of literature describing the interactions between the endocannabinoid system and PPARs has slowly but surely been accumulating over the past decade, and a multitarget approach involving these receptors and endocannabinoid degrading enzyme FAAH has been proposed for the treatment of inflammatory states, cancer, and Alzheimer’s disease. The lack of knowledge about compounds endowed with such an activity profile therefore led us to investigate a library of readily available, well-characterized PPAR agonists that we had synthesized over the years in order to find a plausible lead compound for further development. Moreover, we propose a rationalization of our results via a docking study, which sheds some light on the binding mode of these PPAR agonists to FAAH and opens the way for further research in this field.

Discovery of a Functional Covalent Ligand Targeting an Intrinsically Disordered Cysteine within MYC

MYC is a major oncogenic transcriptional driver of most human cancers that has remained intractable to direct targeting because much of MYC is intrinsically disordered. Here, we have performed a cysteine-reactive covalent ligand screen to identify compounds that could disrupt the binding of MYC to its DNA consensus sequence invitro and also impair MYC transcriptional activity in situ in cells. We have identified a covalent ligand, EN4, that targets cysteine 171 of MYC within a predicted intrinsically disordered region of the protein. We show that EN4 directly targets MYC in cells, reduces MYC and MAX thermal stability, inhibits MYC transcriptional activity, downregulates multiple MYC transcriptional targets, and impairs tumorigenesis. We also show initial structure-activity relationships of EN4 and identify compounds that show improved potency. Overall, we identify a unique ligandable site within an intrinsically disordered region of MYC that leads to inhibition of MYC transcriptional activity.

Quantitative analysis of fluorescent ligand binding to dopamine D3 receptors using live-cell microscopy.

Dopamine receptors are G protein-coupled receptors that have several essential functions in the central nervous system. A better understanding of the regulatory mechanisms of ligand binding to the receptor may open new possibilities to affect the downstream signal transduction pathways. The majority of the available ligand binding assays use either membrane preparations, cell suspensions, or genetically modified receptors, which may give at least partially incorrect understanding of ligand binding. In this study, we implemented an assay combining fluorescence and bright-field microscopy to measure ligand binding to dopamine D3 receptors in live mammalian cells. For membrane fluorescence intensity quantification from microscopy images, we developed a machine learning-based user-friendly software membrane tools and incorporated it into a data management software aparecium that has been previously developed in our workgroup. For the experiments, a fluorescent ligand NAPS-Cy3B was synthesized by conjugating a dopaminergic antagonist N-(p-aminophenethyl)spiperone with a fluorophore Cy3B. The subnanomolar affinity of NAPS-Cy3B makes it a suitable ligand for the characterization of D3 receptors in live HEK293 cells. Using a microplate compatible automated widefield fluorescence microscope, together with the membrane tools software, enables the detection and quantification of ligand binding with a high-throughput. The live cell assay is suitable for the characterization of fluorescent ligand binding and also in the competition experiments for the screening of novel unlabeled dopaminergic ligands. We propose that this simple yet more native-like approach is feasible in GPCR research, as it enables the detection of ligand binding in an environment containing more components involved in the signal transduction cascade.

Screening and Reverse-Engineering of Estrogen Receptor Ligands as Potent Pan-Filovirus Inhibitors.

Filoviridae, including Ebola (EBOV) and Marburg (MARV) viruses, are emerging pathogens that pose a serious threat to public health. No agents have been approved to treat filovirus infections, representing a major unmet medical need. The selective estrogen receptor modulator (SERM) toremifene was previously identified from a screen of FDA-approved drugs as a potent EBOV viral entry inhibitor, via binding to EBOV glycoprotein (GP). A focused screen of ER ligands identified ridaifen-B as a potent dual inhibitor of EBOV and MARV. Optimization and reverse-engineering to remove ER activity led to a novel compound 30 (XL-147) showing potent inhibition against infectious EBOV Zaire (0.09 μM) and MARV (0.64 μM). Mutagenesis studies confirmed that inhibition of EBOV viral entry is mediated by the direct interaction with GP. Importantly, compound 30 displayed a broad-spectrum antifilovirus activity against Bundibugyo, Tai Forest, Reston, and Měnglà viruses and is the first submicromolar antiviral agent reported for some of these strains, therefore warranting further development as a pan-filovirus inhibitor.

Applied machine learning for predicting the lanthanide-ligand binding affinities

Binding affinities of metal–ligand complexes are central to a multitude of applications like drug design, chelation therapy, designing reagents for solvent extraction etc. While state-of-the-art molecular modelling approaches are usually employed to gather structural and chemical insights about the metal complexation with ligands, their computational cost and the limited ability to predict metal–ligand stability constants with reasonable accuracy, renders them impractical to screen large chemical spaces. In this context, leveraging vast amounts of experimental data to learn the metal-binding affinities of ligands becomes a promising alternative. Here, we develop a machine learning framework for predicting binding affinities (logK1) of lanthanide cations with several structurally diverse molecular ligands. Six supervised machine learning algorithms—Random Forest (RF), k-Nearest Neighbours (KNN), Support Vector Machines (SVM), Kernel Ridge Regression (KRR), Multi Layered Perceptrons (MLP) and Adaptive Boosting (AdaBoost)—were trained on a dataset comprising thousands of experimental values of logK1 and validated in an external 10-folds cross-validation procedure. This was followed by a thorough feature engineering and feature importance analysis to identify the molecular, metallic and solvent features most relevant to binding affinity prediction, along with an evaluation of performance metrics against the dimensionality of feature space. Having demonstrated the excellent predictive ability of our framework, we utilized the best performing AdaBoost model to predict the logK1 values of lanthanide cations with nearly 71 million compounds present in the PubChem database. Our methodology opens up an opportunity for significantly accelerating screening and design of ligands for various targeted applications, from vast chemical spaces.

Biocompatible and Rapid Cyclization of Peptides with 2,4-Difluoro-6-hydroxy-1,3,5-benzenetricarbonitrile for the Development of Cyclic Peptide Libraries.

We report a biocompatible and rapid reaction between cysteine thiols and 2,4-difluoro-6-hydroxy-1,3,5-benzenetricarbonitrile (DFB), which enables the efficient cyclization of peptides in neutral aqueous solutions. The reaction was further applied to cyclize peptides displayed on the phage surface without reducing phage infectivity, thus affording high-quality cyclic peptide libraries useful for screening of cyclic peptide ligands. Using the DFB-cyclic peptide library, we identified ligands that can distinguish the pro-survival protein Bcl-xl from its close relative Bcl-2. Therefore, this study on one hand reports a useful reaction for the construction of cyclic peptide libraries, and on the other hand presents valuable hits for further design of selective Bcl-xl ligands.

Ligand and structure-based virtual screening applied to the SARS-CoV-2 main protease: an in silico repurposing study.

Aim: The identification of drugs for the coronavirus disease-19 pandemic remains urgent. In this manner, drug repurposing is a suitable strategy, saving resources and time normally spent during regular drug discovery frameworks. Essential for viral replication, the main protease has been explored as a promising target for the drug discovery process. Materials & methods: Our virtual screening pipeline relies on the known 3D properties of noncovalent ligands and features of crystalized complexes, applying consensus analyses in each step. Results: Two oral (bedaquiline and glibenclamide) and one buccal drug (miconazole) presented 3D similarity to known ligands, reasonable predicted binding modes and micromolar predicted binding affinity values. Conclusion: We identified three approved drugs as promising inhibitors of the main viral protease and suggested design insights for future studies for development of novel selective inhibitors.

Abstract 662: A discovery of a small molecule mTORC1 allosteric inhibitor targeting cancer cells

Abstract The allosteric inhibition of the mechanistic target of rapamycin complex 1 (mTORC1), the central growth regulator that is highly activated in cancer cells, is unique for rapamycin and rapalogs. Upon binding to 12-kDa FK506-binding protein (FKBP12), the FKBP12-rapamycin specifically complexed with mTORC1 and inhibits the mediated downstream signals incorporated in metabolic processes. Since rapamycin has a large molecular weight and a poor solubility, it does not completely inhibit mTORC1 due to the pharmacokinetic limitations. It just shows a cytostatic effect in the treatment of a few benign cancers which results in tumors re-growth. In order to overcome these limitations, we have looked for a novel potential small molecule mTORC1 allosteric inhibitor by in silico and in vitro methods. Firstly, we carried out the in silico selection using Virtual Ligand Screening (VLS) for 105 compounds to select ligands with the high calculated scores toward FRB/FKBP12 interface as a receptor (PDB ID: 1fap). After further score calculations, we selected the top 5 compounds for the next selection step. We also prepared FKBP-rapamycin binding domain (FRB) of the mTORC1 and FKBP12, by using pET15b expression vector and BL21(DE3) E. coli. For the molecular-level protein: protein interaction (PPI) measurement, we used AlphaLISATM system (PerkinElmer, USA) using the prepared proteins. In addition, we checked the kinase activity using AlphaLISA® p-P70 S6K (T389) assay kit (PerkinElmer, USA), as well as Western blotting against p-S6 (S235/236) and p-4E-BP1 (T37/46). Finally, we performed the cell cytotoxicity assay of the selected compound against cancer and noncancer cell lines. The docking simulations showed that the residues involved in the interaction between FRB/FKBP12 binding site and rapamycin are partially overlapped with those of the screened compounds which stabilized the formation of FRB:Ligand:FKBP12 ternary complex. We also measured the inhibitory effect of the selected compounds against the ternary complex formation by rapamycin and two of them, ZNC1 and ZNC5, showed interactivity by IC50 of 30 nM and 41 nM, respectively. On the other hand, only ZNC5 promoted the formation of the ternary complex by a KD value of 1.7 nM. In addition, ZNC5 inhibited the kinase activity not only in the starvation condition by IC50 of 1.2 nM but also in the feeding-induced mTORC1 activation condition with IC50 of 3.5 nM. Moreover, it has been observed that the ZNC5 inhibited kinase activity of mTORC1 in the cancer cells while no effect on the normal cells. In this study, we discovered the ZNC5, a new allosteric inhibitor to the kinase of mTORC1, through the in silico and in vitro hybrid selection. The smaller size of ZNC5 comparing to rapamycin is probably advantageous for better pharmacokinetics in vivo. Most importantly, ZNC5 specifically inhibited the growth of cancer cells over normal cells, while no such specificity observed by rapamycin. Citation Format: Raef Shams, Yoshihiro Ito, Hideyuki Miyatake. A discovery of a small molecule mTORC1 allosteric inhibitor targeting cancer cells [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 662.

The rational discovery of multipurpose inhibitors of the ornithine decarboxylase

Metabolic reprograming is a hallmark of cancer, and the polyamine metabolic network is dysregulated in many cancers. Ornithine decarboxylase (ODC) is a rate-limiting enzyme for polyamine synthesis in the polyamine metabolic network. In many cancer cells, ODC is over-expressed, so this enzyme has been an attracting anti-cancer drug target. In the catalysis axis (pathway), ODC converts ornithine to putrescine. Meanwhile, ODC's activity is regulated by protein-protein interactions (PPIs), including the ODC-OAZ1-AZIN1 PPI axis and its monomer-dimer equilibrium. Previous studies showed that when ODC's activity is inhibited, the PPIs might counteract the inhibition efficiency. Therefore, we proposed that multipurpose inhibitors that can simultaneously inhibit ODC's activity and perturb the PPIs would be very valuable as drug candidates and molecular tools. To discover multipurpose ODC inhibitors, we established a computational pipeline by combining positive screening and negative screening. We used this pipeline for the forward screening of multipurpose ligands that might inhibit ODC's activity, block ODC-OAZ1 interaction and enhance ODC non-functional dimerization. With a combination of different experimental assays, we identified three multipurpose ODC inhibitors. At last, we showed that one of these inhibitors is a promising drug candidate. This work demonstrated that our computational pipeline is useful for discovering multipurpose ODC inhibitors, and multipurpose inhibitors would be very valuable. Similar with ODC, there are a lot of proteins in human proteome that act as both enzymes and PPI components. Therefore, this work is not only presenting new molecular tools for polyamine study, but also providing potential insights and protocols for discovering multipurpose inhibitors to target more important protein targets.