Structure-based Design Approach Research Articles

Application of Free Energy Perturbation (FEP+) to Understanding Ligand Selectivity: A Case Study to Assess Selectivity Between Pairs of Phosphodiesterases (PDE's).

Cyclic nucleotide phosphodiesterases (PDE's) are metalloenzymes that play a key role in regulating the levels of the ubiquitous second messengers, cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP). In humans, 11 PDE protein families mediate numerous biochemical pathways throughout the body and are effective drug targets for the treatment of diseases ranging from central nervous system disorders to heart and pulmonary diseases. PDE's also share a highly conserved catalytic site (about 50%), thus making the design of selective drug candidates very challenging with classical structure-based design approaches given also the lack of publicly available co-crystal structures of pairs of PDE's with consistent biological data to be compared, as we show in our work. In this retrospective study, we apply free energy perturbation (FEP+) to predict the selectivity of inhibitors that bind two pairs of closely related PDE families: PDE9/1 and PDE5/6 where only 1 co-crystal structure per pair is publicly available. As another challenge, the p Ka of the PDE5/6 inhibitor is close to the experimental pH, making unclear the exact protonation state that should be used in the computational workflow. We demonstrate that running FEP+ on homology models constructed for these metalloenzymes accurately reproduces experimentally observed selectivity profiles also addressing the unclear protonation state to be used during computation with our recently developed p Ka-correction method. Based on these data, we conclude that FEP+ is a robust method for prediction of selectivity for this target class and may be helpful to address related lead optimization challenges in drug discovery.

Development of a virtual reality platform for effective communication of structural data in drug discovery

In drug discovery, structural knowledge of a target enables structure-based design approaches and thereby reduces the time and labor required to develop a therapy. Whilst molecular graphics frameworks coupled with computational analysis are now ubiquitous tools for the structural and computational biologist, sharing the detailed visualization and derived structural information with non-expert users still presents a challenge. Here we describe an intuitive virtual world for viewing, manipulating, and modifying chemical and macromolecular structures in a fully immersive and collaborative 3D environment. By reducing the barriers to viewing and interacting with structural data, structural analysis can be democratized to a general scientist, which in turn fosters novel collaboration, ideas, and findings in structural biology and structure-based drug discovery.

Enabling synthesis in fragment-based drug discovery by reactivity mapping: photoredox-mediated cross-dehydrogenative heteroarylation of cyclic amines.

In fragment-based drug discovery (FBDD), a weakly binding fragment hit is elaborated into a potent ligand by bespoke functionalization along specific directions (growth vectors) from the fragment core in order to complement the 3D structure of the target protein. This structure-based design approach can present significant synthetic challenges, as growth vectors often originate on sp2 or sp3 ring carbons which are not the most synthetically accessible points on the fragment. To address this issue and expedite synthesis in FBDD, we established a nanogram-to-gram workflow for the development of enabling synthetic transformations, such as the direct C-H functionalization of heterocycles. This novel approach deploys high-throughput experimentation (HTE) in 1536-well microtiter plates (MTPs) facilitated by liquid handling robots to screen reaction conditions on the nanomolar scale; subsequently the reaction is upscaled in a continuous flow to generate gram-quantities of the material. In this paper, we disclose the use of this powerful workflow for the development of a photoredox-mediated cross-dehydrogenative coupling of fragments and medicinally relevant heterocyclic precursors via Minisci-type addition of α-amino radicals to electron-deficient heteroarenes. The optimized reaction conditions were employed on the milligram-scale on a diverse set of 112 substrates to map out structure-reactivity relationships (SRRs) of the transformation. The coupling exhibits excellent tolerance to a variety of functional groups and N-rich heteroarenes relevant to FBDD and was upscaled in a continuous flow to afford gram-quantities of pharmaceutically relevant sp2-sp3 privileged architectures.

Structure-based design and application of an engineered glutathione transferase for the development of an optical biosensor for pesticides determination

In the present work, a structure-based design approach was used for the generation of a novel variant of synthetic glutathione transferase (PvGmGSTU) with higher sensitivity towards pesticides. Molecular modelling studies revealed Phe117 as a key residue that contributes to the formation of the hydrophobic binding site (H-site) and modulates the affinity of the enzyme towards xenobiotic compounds. Site-saturation mutagenesis of position Phe117 created a library of PvGmGSTU variants with altered kinetic and binding properties. Screening of the library against twenty-five different pesticides, showed that the mutant enzyme Phe117Ile displays 3-fold higher catalytic efficiency and exhibits increased affinity towards α-endosulfan, compared to the wild-type enzyme. Based on these catalytic features the mutant enzyme Phe117Ile was explored for the development of an optical biosensor for α-endosulfan. The enzyme was entrapped in alkosixylane sol-gel system in the presence of two pH indicators (bromocresol purple and phenol red). The sensing signal was based on the inhibition of the sol-gel entrapped GST, with subsequent decrease of released [H+] by the catalytic reaction, measured by sol–gel entrapped indicators. The assay response at 562 nm was linear in the range pH = 4–7. Linear calibration curves were obtained for α-endosulfan in the range of 0–30 μΜ. The reproducibility of the assay response, expressed by relative standard deviation, was in the order of 4.1% (N = 28). The method was successfully applied to the determination of α-endosulfan in real water samples without sample preparation steps.

Computer-Aided Discovery of Small Molecule Inhibitors of Transcriptional Activity of TLX (NR2E1) Nuclear Receptor.

Orphan nuclear receptor TLX (NR2E1) plays a critical role in the regulation of neural stem cells (NSC) as well as in the development of NSC-derived brain tumors. In the last years, new data have emerged implicating TLX in prostate and breast cancer. Therefore, inhibitors of TLX transcriptional activity may have a significant impact on the treatment of several critical malignancies. However, the TLX protein possesses a non-canonical ligand-binding domain (LBD), which lacks a ligand-binding pocket (conventionally targeted in case of nuclear receptors) that complicates the development of small molecule inhibitors of TLX. Herein, we utilized a rational structure-based design approach to identify small molecules targeting the Atro-box binding site of human TLX LBD. As a result of virtual screening of ~7 million molecular structures, 97 compounds were identified and evaluated in the TLX-responsive luciferase reporter assay. Among those, three chemicals demonstrated 40–50% inhibition of luciferase-detected transcriptional activity of the TLX orphan nuclear receptor at a dose of 35 µM. The identified compounds represent the first class of small molecule inhibitors of TLX transcriptional activity identified via methods of computer-aided drug discovery.

Computational screening of known broad-spectrum antiviral small organic molecules for potential influenza HA stem inhibitors

BackgroundWith the emergence of new influenza virus strains that are resistant to current inhibitors such as oseltamivir (anti-neuraminidase (NA)) and amantadine (anti-M2 proton channel), influenza A viruses continue to be a serious threat to the public health worldwide. With this in view, there is a persistent need for the development of broader and more effective vaccines and therapeutics. Identification of broadly neutralizing antibodies (bNAbs) that recognize relatively invariant structures ‎on influenza haemagglutinin (HA) stem has invigorated efforts to develop universal influenza vaccines.AimThe current computational study is designed to identify potential flavonoid inhibitors that bind to the contact epitopes of HA stem that are targeted by broadly neutralizing antibodies (bNAb).MethodIn this study, we utilized the three-dimensional crystallographic structure of different HA subtypes (H1, H2, H5, H3, and H7) in complex with bNAb to screen for potential broadly reactive influenza inhibitors. We performed Quantitative Structure-Activity and Relationship (QSAR) for 100 natural compounds known for their antiviral activity and performed molecular docking using AutoDock 4.2 suite. Furthermore, we conducted virtual screening of 1413 bioassay hit compounds by using virtual lab bench CLC Drug Discovery.ResultsThe results showed 18 lead flavonoids with strong binding abilities to bNAb epitopes of various HA subtypes. These 18 broadly reactive compounds exhibited significant interactions with an average of seven Hbonds, docking energy of -22.43 kcal·mol−1, and minimum interaction ‎ energy of -4.65 kcal·mol−1, with functional contact residues. Procyanidin depicted strong interactions with group 1 HAs, whereas both sorbitol and procyanidin exhibited significant interactions with group 2 HAs.ConclusionUsing in silico docking analysis, we identified 18 bioactive flavonoids with potential strong binding cababilities to influenza HA-stems of various subtypes, which are the target for bNAb. The virtual screened bioassay hit compounds depicted a high number of Hbonds but low interaction and docking values compared to antiviral flavonoids. Using structure-based design and nanotechnology-based approaches, identified molecules could be modified to generate next generation anti-influenza drugs.

Rational Engineering of Bacillus cereus Leucine Dehydrogenase Towards α-keto Acid Reduction for Improving Unnatural Amino Acid Production.

Unnatural amino acids (UAAs) play a key role in modern medicinal chemistry such as small molecules and peptide-based drugs with fast-growing markets. Low efficiency for natural enzymes including leucine dehydrogenase (LeuDH, EC1.4.1.9) are one major challenge for UAA production. Here, rational engineering of LeuDH from Bacillus cereus with a structure-based design approach is studied. The results achieve higher enzymatic activity and stability toward α-keto acid reduction by improving the hydrophobic and rigidity of enzymatic substrate entrance tunnel. High catalytic efficiency for variant E116V is associated with the presence of more hydrophobic tunnels that allows easy substrate diffusion, which is confirmed in absorbance spectroscopy study. For variant T45M/E116V, melting temperature and half-lives of thermal inactivation at 60 °C is 62.8 °C and 29.2 h, respectively, much higher than 48.4 °C and 3.4 h of wild type. Structural analysis indicates that an additional hydrogen bond in β5 fold is formed in variant T45M, which results in a more rigid β5 fold leading to better stability. Furthermore, asymmetric synthesis of α-amino acids with coenzyme regeneration reveals higher productivities for variant T45M/E116V. This study indicates the importance of substrate entrance tunnel for enzymatic activities and stability, the engineered LeuDH would better serve UAA production.

Global conformational changes in IgG-Fc upon mutation of the FcRn-binding site are not associated with altered antibody-dependent effector functions.

Antibody engineering is important for many diagnostic and clinical applications of monoclonal antibodies. We recently reported a series of fragment crystallizable (Fc) mutations targeting the neonatal Fc receptor (FcRn) site on a Lewis Y (Ley) binding IgG1, hu3S193. The hu3S193 variants displayed shortened in vivo half-lives and may have potential for radioimaging or radiotherapy of Ley-positive tumors. Here, we report Fc crystal structures of wild-type hu3S193, seven FcRn-binding site variants, and a variant lacking C1q binding or complement-dependent cytotoxicity (CDC) activity. The Fc conformation of the FcRn-binding sites was similar for wild-type and all mutants of hu3S193 Fc, which suggests that FcRn interactions were directly affected by the amino acid substitutions. The C1q-binding site mutant Fc was nearly identical with the wild-type Fc. Surprisingly, several hu3S193 Fc variants showed large changes in global structure compared with wild-type Fc. All hu3S193 Fc mutants had similar antibody-dependent cellular cytotoxicity, despite some with conformations expected to diminish Fc gamma receptor binding. Several hu3S193 variants displayed altered CDC, but there was no correlation with the different Fc conformations. All versions of hu3S193, except the C1q-binding site mutant, bound C1q, suggesting that the altered CDC of some variants could result from different propensities to form IgG hexamers after engaging Ley on target cells. Overall, our findings support the concept that the antibody Fc is both flexible and mobile in solution. Structure-based design approaches should take into account the conformational plasticity of the Fc when engineering antibodies with optimal effector properties.

Abstract LB-071: Discovery of an imidazopyridine series of potent human IDO1 inhibitors with robust target engagement in a preclinical tumor model

Abstract Indoleamine 2,3-dioxygenase (IDO1 and IDO2) and tryptophan dioxygenase (TDO) are heme-containing enzymes that mediate the rate limiting step in the oxidative degradation of L-tryptophan (L-TRP) to kynurenine (KYN) metabolites. Tryptophan catabolism through the KYN metabolic pathway is now recognized as one of many mechanisms involved in tumor cell evasion of the immune surveillance system. Inhibition of the KYN pathway in the tumor microenvironment can lead to improved immune response and tumor growth suppression. Recently, clinical proof of concept of this mechanism has been demonstrated using an Indoleamine 2,3-dioxygenase (IDO1) inhibitor in combination with a PD-1 antagonist in a variety of tumor contexts. Consideration of known low molecular weight heme-co-ordinating ligands identified from the PDB, in conjunction with a virtual screen performed in-silico identified a number of potentially interesting starting points for medicinal chemistry development. Identification of an attractive indazole fragment as a starting point, and expansion into alternative bicyclic cores, resulted in the discovery of a family of imidazopyridines as potent human IDO1 inhibitors with >200 fold selectivity against TDO. Utilizing a structure-based design approach allowed rapid lead optimization that resulted in the identification of IACS-8968. Crystallography studies were conducted, and binding of IACS-8968 to the heme domain of the human IDO1 was confirmed. The homochiral imidazopyridine IACS-8968 displayed cellular IC50= 29 nM in a HeLa cell line expressing human IDO1 and IC50= 21 nM in a PANC02 mouse cell line expressing the murine IDO1 enzyme, showed satisfactory selectivity margin (> 150 fold) versus its CYP450 inhibition profile and good oral bioavailability across species. PK/PD experiments indicated that, at equivalent exposure, IACS-8968 (sodium salt) and epacadostat decreased tumor KYN at comparable levels in CT26 syngeneic mouse model. Citation Format: Alessia Petrocchi, Naphtali J. Reyna, Faika Mseeh, Connor A. Parker, Simon Yu, Quanyun Xu, Ningping Feng, Paul Leonard, Norma Rogers, Jason B. Cross, Angela L. Harris, Yongying Jiang, Tin Oo Khor, Mikhila G. Mahendra, Jihai Pang, Qi Wu, Andy M. Zuniga, Timothy McAfoos, Timothy McAfoos, Matthew M. Hamilton, Joe R. Marszalek, Keith Mikule, Paul Vancutsem, Keith Wilcoxen, Martin Tremblay, Philip Jones, Richard T. Lewis. Discovery of an imidazopyridine series of potent human IDO1 inhibitors with robust target engagement in a preclinical tumor model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr LB-071.

Discovery of Potent 2-Aryl-6,7-dihydro-5 H-pyrrolo[1,2- a]imidazoles as WDR5-WIN-Site Inhibitors Using Fragment-Based Methods and Structure-Based Design.

WDR5 is a chromatin-regulatory scaffold protein overexpressed in various cancers and a potential epigenetic drug target for the treatment of mixed-lineage leukemia. Here, we describe the discovery of potent and selective WDR5-WIN-site inhibitors using fragment-based methods and structure-based design. NMR-based screening of a large fragment library identified several chemically distinct hit series that bind to the WIN site within WDR5. Members of a 6,7-dihydro-5 H-pyrrolo[1,2- a]imidazole fragment class were expanded using a structure-based design approach to arrive at lead compounds with dissociation constants <10 nM and micromolar cellular activity against an AML-leukemia cell line. These compounds represent starting points for the discovery of clinically useful WDR5 inhibitors for the treatment of cancer.

Discovery and Optimization of Phosphopantetheine Adenylyltransferase Inhibitors with Gram-Negative Antibacterial Activity.

In the preceding manuscript [ Moreau et al. 2018 , 10.1021/acs.jmedchem.7b01691 ] we described a successful fragment-based lead discovery (FBLD) strategy for discovery of bacterial phosphopantetheine adenylyltransferase inhibitors (PPAT, CoaD). Following several rounds of optimization two promising lead compounds were identified: triazolopyrimidinone 3 and 4-azabenzimidazole 4. Here we disclose our efforts to further optimize these two leads for on-target potency and Gram-negative cellular activity. Enabled by a robust X-ray crystallography system, our structure-based inhibitor design approach delivered compounds with biochemical potencies 4-5 orders of magnitude greater than their respective fragment starting points. Additional optimization was guided by observations on bacterial permeability and physicochemical properties, which ultimately led to the identification of PPAT inhibitors with cellular activity against wild-type E. coli.

Rational engineering of a native hyperthermostable lactonase into a broad spectrum phosphotriesterase

The redesign of enzyme active sites to alter their function or specificity is a difficult yet appealing challenge. Here we used a structure-based design approach to engineer the lactonase SsoPox from Sulfolobus solfataricus into a phosphotriesterase. The five best variants were characterized and their structure was solved. The most active variant, αsD6 (V27A-Y97W-L228M-W263M) demonstrates a large increase in catalytic efficiencies over the wild-type enzyme, with increases of 2,210-fold, 163-fold, 58-fold, 16-fold against methyl-parathion, malathion, ethyl-paraoxon, and methyl-paraoxon, respectively. Interestingly, the best mutants are also capable of degrading fensulfothion, which is reported to be an inhibitor for the wild-type enzyme, as well as others that are not substrates of the starting template or previously reported W263 mutants. The broad specificity of these engineered variants makes them promising candidates for the bioremediation of organophosphorus compounds. Analysis of their structures reveals that the increase in activity mainly occurs through the destabilization of the active site loop involved in substrate binding, and it has been observed that the level of disorder correlates with the width of the enzyme specificity spectrum. This finding supports the idea that active site conformational flexibility is essential to the acquisition of broader substrate specificity.

A structure-based design approach to advance the allyltyrosine-based series of HIV integrase inhibitors

As of mid-2017, only one structure of the human immunodeficiency virus (HIV) integrase core domain co-crystallised with an active site inhibitor was reported. In this structure (1QS4), integrase is complexed with a diketo-acid based strand-transfer inhibitor (INSTI). This structure has been a preferred platform for the structure-based design of INSTIs despite concerns relating to structural irregularities arising from crystallographic packing effects. A survey of the current pool of 297 reported integrase catalytic core structures indicated that the anatomy of the active site in the complex structure 1QS4 exhibits subtle variations relative to all other structures examined. Consequently, the 1QS4 structure was employed for docking studies. From the docking of twenty-seven allyltyrosine analogues, a 3-point inhibitor binding motif required for activity was established and successfully utilised in the development of a tripeptide displaying an EC50 value of 10 ± 5 μM in HIV infected human T-cells. Additional docking of “in-house” compound libraries unearthed a methyl ester based nitrile derivative displaying an IC50 value of 0.5 μM in a combined 3′-processing and strand-transfer assay.

Structure-based design and synthesis of 2,4-diaminopyrimidines as EGFR L858R/T790M selective inhibitors for NSCLC

Mutated epidermal growth factor receptor (EGFR) is a major driver of non-small cell lung cancer (NSCLC). The EGFRT790M secondary mutation has become a leading cause of clinically-acquired resistance to gefitinib and erlotinib. Herein, we present a structure-based design approach to increase the potency and selectivity of the previously reported reversible EGFR inhibitor 7, at the kinase and cellular levels. Three-step structure-activity relationship exploration led to promising compounds 19e and 19h with unique chemical structure and binding mode from the other third-generation tyrosine kinase inhibitors. In a human NSCLC xenograft model, 19e and 19h exhibited dose-dependent tumor growth suppression without toxicity. These selective inhibitors are promising drug candidates for EGFRT790M-driven NSCLC.

Computational design and synthesis of novel fluoro-analogs of combretastatins A-4 and A-1

Combretastatin A-1 (CA-1) and combretastatin A-4 (CA-4) isolated from the African bush willow Combretum caffrum are highly potent tubulin polymerization inhibitors, possessing strong antitumor activities because of their vascular disrupting properties. Extensive SAR studies have been done for CA-4 analogs. Because of poor solubility, water-soluble prodrugs of CA-4 and CA-1 have been developed, which are currently in human clinical trials. Fluorine plays an important role in the current drug discovery and development due to its unique properties. Thus, several fluorine-containing analogs of CA-4/CA-1 have been studied. However, no analogs, which have a CF3O-, CF2HO- or CF3- group instead of the 4′-methoxy group in the B ring, have been investigated. Therefore, we set out to design and synthesize those novel fluoro-analogs of CA-4/CA-1. For the design of the new analogs, we took a structure-based design approach based on the X-ray crystal structure of colchicine-tubulin complex (PDB: 4O2B) and computational docking analysis using the AutoDock Vina program. A library of novel fluoro-analogs of CA-4/CA-1 was generated and their docking energy scores obtained. It was found that those novel fluoro-analogs exhibited better docking energy scores than CA-4/CA-1. Also, docking poses of all of these fluoro-analogs were virtually superimposable and very good fit to the colchine binding site. Among 15 compounds designed and analyzed, we have synthesized 5 compounds and evaluated their cytotoxicity against drug-sensitive and multidrug-resistant cancer cell lines. All fluoro-analogs exhibited strong cytotoxicity even against multidrug-resistant cell line. However, the critical activity of this class of compounds is its vascular disrupting activity. Thus, further biological evaluations are warranted for those novel fluoro-analogs of CA-4/CA-1.

Structural Vaccinology for Melioidosis Vaccine Design and Immunodiagnostics

Spurred by the successful application of structural vaccinology to other challenging bacterial and viral pathogens, we review the possibility of exploiting 3D structure computational-based recombinant antigen engineering strategies for the development of a protective melioidosis vaccine. Structure-based epitope design approaches in the melioidosis field are preliminary and applied essentially by one research network. By combining Burkholderia pseudomallei antigen 3D structures and in silico epitope discovery methods, a panel of synthetic epitope peptides were designed and tested for their B and T cell stimulatory activities. Several peptides were found to be serodiagnostic for B. pseudomallei infection and two elicited bactericidal antibodies. A significant amount of B. pseudomallei antigen structures, epitopes, and immunological data is available. Future challenges will be to test all available B. pseudomallei epitopes, focusing on combing multiple B/T cell epitopes onto a single scaffold to generate components, stimulating both arms of the immune system.

Structure-based design of new poly (ADP-ribose) polymerase (PARP-1) inhibitors.

Poly (ADP-ribose) polymerase (PARP-1) is a well-established nuclear protein with prominent role in signaling and DNA repair. Various clinical candidates have been identified with the role in PARP-1 inhibition. Based on the pharmacophoric features identified from previous studies and molecular docking interactions, thiazolidine-2,4-dione derivatives have been evaluated for their PARP inhibitory activity. From an in vitro assay, 5-((1-(4-isopropylbenzyl)-1H-indol-3-yl)methylene)thiazolidine-2,4-dione (16) was identified as a potent inhibitor having low micromolar inhibitory activity [Formula: see text]. Thus, a structure-based design approach utilized in the present study helped to identify thiazolidine-2,4-dione as a novel scaffold against PARP-1 for potential development of potent anticancer therapeutics.

Combining properties of different classes of PI3Kα inhibitors to understand the molecular features that confer selectivity

Phosphoinositide 3-kinases (PI3Ks) are major regulators of many cellular functions, and hyperactivation of PI3K cell signalling pathways is a major target for anticancer drug discovery. PI3Kα is the isoform most implicated in cancer, and our aim is to selectively inhibit this isoform, which may be more beneficial than concurrent inhibition of all Class I PI3Ks. We have used structure-guided design to merge high-selectivity and high-affinity characteristics found in existing compounds. Molecular docking, including the prediction of water-mediated interactions, was used to model interactions between the ligands and the PI3Kα affinity pocket. Inhibition was tested using lipid kinase assays, and active compounds were tested for effects on PI3K cell signalling. The first-generation compounds synthesized had IC50 (half maximal inhibitory concentration) values >4 μM for PI3Kα yet were selective for PI3Kα over the other Class I isoforms (β, δ and γ). The second-generation compounds explored were predicted to better engage the affinity pocket through direct and water-mediated interactions with the enzyme, and the IC50 values decreased by ∼30-fold. Cell signalling analysis showed that some of the new PI3Kα inhibitors were more active in the H1047R mutant bearing cell lines SK-OV-3 and T47D, compared with the E545K mutant harbouring MCF-7 cell line. In conclusion, we have used a structure-based design approach to combine features from two different compound classes to create new PI3Kα-selective inhibitors. This provides new insights into the contribution of different chemical units and interactions with different parts of the active site to the selectivity and potency of PI3Kα inhibitors.

Discovery of potent IDO1 inhibitors derived from tryptophan using scaffold-hopping and structure-based design approaches

Indoleamine 2,3-dioxygenase 1 (IDO1) is frequently hijacked by tumors to escape the host immune response, and the enzyme is now firmly established as an attractive target for cancer immunotherapy. To identify novel IDO1 inhibitors suitable for drug development, a scaffold-hopping strategy combined with the average electrostatic potentials calculation was ultilized to design novel benzoxazolinone derivatives. Among these, compounds 7e, 7f and 9c exhibited the inhibitory potency in the low micromolar range and displayed negligible level of cytotoxicity against HeLa cells. Treatment with these three compounds promoted the proliferation of T lymphocyte and led to the dramatic decrease of regulatory T cells in the B16F1 cells and naïve T cells co-culture system. Subsequent spectroscopic experiments suggested that these benzoxazolinones formed a coordinate bond with the heme iron to stabilize the complex. This study suggested that the benzoxazolinone was an interesting scaffold for discovering novel IDO1 inhibitors, and these compounds are attractive candidates for further development.

From a novel HTS hit to potent, selective, and orally bioavailable KDM5 inhibitors

A high-throughput screening (HTS) of the Genentech/Roche library identified a novel, uncharged scaffold as a KDM5A inhibitor. Lacking insight into the binding mode, initial attempts to improve inhibitor potency failed to improve potency, and synthesis of analogs was further hampered by the presence of a C–C bond between the pyrrolidine and pyridine. Replacing this with a C–N bond significantly simplified synthesis, yielding pyrazole analog 35, of which we obtained a co-crystal structure with KDM5A. Using structure-based design approach, we identified 50 with improved biochemical, cell potency and reduced MW and lower lipophilicity (LogD) compared with the original hit. Furthermore, 50 showed lower clearance than 9 in mice. In combination with its remarkably low plasma protein binding (PPB) in mice (40%), oral dosing of 50 at 5mg/kg resulted in unbound Cmax ∼2-fold of its cell potency (PC9 H3K4Me3 0.96μM), meeting our criteria for an in vivo tool compound from a new scaffold.