Structure-guided Drug Discovery Research Articles

Structural insight into small molecule action on Frizzleds

WNT-Frizzled (FZD) signaling plays a critical role in embryonic development, stem cell regulation and tissue homeostasis. FZDs are linked to severe human pathology and are seen as a promising target for therapy. Despite intense efforts, no small molecule drugs with distinct efficacy have emerged. Here, we identify the Smoothened agonist SAG1.3 as a partial agonist of FZD6 with limited subtype selectivity. Employing extensive in silico analysis, resonance energy transfer- and luciferase-based assays we describe the mode of action of SAG1.3. We define the ability of SAG1.3 to bind to FZD6 and to induce conformational changes in the receptor, recruitment and activation of G proteins and dynamics in FZD–Dishevelled interaction. Our results provide the proof-of-principle that FZDs are targetable by small molecules acting on their seven transmembrane spanning core. Thus, we provide a starting point for a structure-guided and mechanism-based drug discovery process to exploit the potential of FZDs as therapeutic targets.

Computational saturation mutagenesis to predict structural consequences of systematic mutations in the beta subunit of RNA polymerase in Mycobacterium leprae

Rifampin resistance in leprosy may remain undetected due to the lack of rapid and effective diagnostic tools. A quick and reliable method is essential to determine the impacts of emerging detrimental mutations in the drug targets. The functional consequences of missense mutations in the β-subunit of RNA polymerase (RNAP) in Mycobacterium leprae (M. leprae) contribute to phenotypic resistance to rifampin in leprosy. Here, we report in-silico saturation mutagenesis of all residues in the β-subunit of RNAP to all other 19 amino acid types (generating 21,394 mutations for 1126 residues) and predict their impacts on overall thermodynamic stability, on interactions at subunit interfaces, and on β-subunit-RNA and rifampin affinities (only for the rifampin binding site) using state-of-the-art structure, sequence and normal mode analysis-based methods. Mutations in the conserved residues that line the active-site cleft show largely destabilizing effects, resulting in increased relative solvent accessibility and a concomitant decrease in residue-depth (the extent to which a residue is buried in the protein structure space) of the mutant residues. The mutations at residue positions S437, G459, H451, P489, K884 and H1035 are identified as extremely detrimental as they induce highly destabilizing effects on the overall protein stability, and nucleic acid and rifampin affinities. Destabilizing effects were predicted for all the clinically/experimentally identified rifampin-resistant mutations in M. leprae indicating that this model can be used as a surveillance tool to monitor emerging detrimental mutations that destabilise RNAP-rifampin interactions and confer rifampin resistance in leprosy. Author summaryThe emergence of primary and secondary drug resistance to rifampin in leprosy is a growing concern and poses a threat to the leprosy control and elimination measures globally. In the absence of an effective in-vitro system to detect and monitor phenotypic resistance to rifampin in leprosy, diagnosis mainly relies on the presence of mutations in drug resistance determining regions of the rpoB gene that encodes the β-subunit of RNAP in M. leprae. Few labs in the world perform mouse footpad propagation of M. leprae in the presence of drugs (rifampin) to determine growth patterns and confirm resistance, however the duration of these methods lasts from 8 to 12 months making them impractical for diagnosis. Understanding molecular mechanisms of drug resistance is vital to associating mutations to clinically detected drug resistance in leprosy. Here we propose an in-silico saturation mutagenesis approach to comprehensively elucidate the structural implications of any mutations that exist or that can arise in the β-subunit of RNAP in M. leprae. Most of the predicted mutations may not occur in M. leprae due to fitness costs but the information thus generated by this approach help decipher the impacts of mutations across the structure and conversely enable identification of stable regions in the protein that are least impacted by mutations (mutation coolspots) which can be a potential choice for small molecule binding and structure guided drug discovery.

Cocktailed fragment screening by X-ray crystallography of the antibacterial target undecaprenyl pyrophosphate synthase from Acinetobacter baumannii.

Direct soaking of protein crystals with small-molecule fragments grouped into complementary clusters is a useful technique when assessing the potential of a new crystal system to support structure-guided drug discovery. It provides a robustness check prior to any extensive crystal screening, a double check for assay binding cutoffs and structural data for binding pockets that may or may not be picked out in assay measurements. The structural output from this technique for three novel fragment molecules identified to bind to the antibacterial target Acinetobacter baumannii undecaprenyl pyrophosphate synthase are reported, and the different physicochemical requirements of a successful antibiotic are compared with traditional medicines.

Ivermectin inhibits HSP27 and potentiates efficacy of oncogene targeting in tumor models.

HSP27 is highly expressed in, and supports oncogene addiction of, many cancers. HSP27 phosphorylation is a limiting step for activation of this protein and a target for inhibition, but its highly disordered structure challenges rational structure-guided drug discovery. We performed multistep biochemical, structural, and computational experiments to define a spherical 24-monomer complex composed of 12 HSP27 dimers with a phosphorylation pocket flanked by serine residues between their N-terminal domains. Ivermectin directly binds this pocket to inhibit MAPKAP2-mediated HSP27 phosphorylation and depolymerization, thereby blocking HSP27-regulated survival signaling and client-oncoprotein interactions. Ivermectin potentiated activity of anti-androgen receptor and anti-EGFR drugs in prostate and EGFR/HER2-driven tumor models, respectively, identifying a repurposing approach for cotargeting stress-adaptive responses to overcome resistance to inhibitors of oncogenic pathway signaling.

RCSB Protein Data Bank: Enabling biomedical research and drug discovery.

Analyses of publicly available structural data reveal interesting insights into the impact of the three-dimensional (3D) structures of protein targets important for discovery of new drugs (e.g., G-protein-coupled receptors, voltage-gated ion channels, ligand-gated ion channels, transporters, and E3 ubiquitin ligases). The Protein Data Bank (PDB) archive currently holds > 155,000 atomic-level 3D structures of biomolecules experimentally determined using crystallography, nuclear magnetic resonance spectroscopy, and electron microscopy. The PDB was established in 1971 as the first open-access, digital-data resource in biology, and is now managed by the Worldwide PDB partnership (wwPDB; wwPDB.org). US PDB operations are the responsibility of the Research Collaboratory for Structural Bioinformatics PDB (RCSB PDB). The RCSB PDB serves millions of RCSB.org users worldwide by delivering PDB data integrated with ∼40 external biodata resources, providing rich structural views of fundamental biology, biomedicine, and energy sciences. Recently published work showed that the PDB archival holdings facilitated discovery of ∼90% of the 210 new drugs approved by the US Food and Drug Administration 2010-2016. We review user-driven development of RCSB PDB services, examine growth of the PDB archive in terms of size and complexity, and present examples and opportunities for structure-guided drug discovery for challenging targets (e.g., integral membrane proteins).

Abstract 4482: S64315 (MIK665) is a potent and selective Mcl1 inhibitor with strong antitumor activity across a diverse range of hematologic tumor models

Abstract Mcl-1 is highly expressed in a variety of human cancers (including those of hematopoietic and lymphoid origin) and is exploited by cancer cells to evade cell death and to develop resistance to diverse chemotherapeutic agents. We disclose, for the first time, the structure of S64315 (also named MIK665) a highly potent and selective inhibitor of Mcl-1 with improved potency over its predecessor S63845 (Kotschy et al, Nature, 2016). S64315/MIK665 is currently in phase 1 in AML (Acute Myeloid Leukemia) and MDS (Myelodysplastic Syndrome) (EudraCT 2016-003768-38, NCT 02979366) and in MM (Multiple Myeloma) and lymphoma (NCT02992483). A fragment-based, structure-guided drug discovery effort led to the identification of S64315/MIK665 that binds to human Mcl-1 with a sub-nanomolar affinity (Ki 0.048 nM) and selectively over other anti-apoptotic Bcl-2 family members. It has similar affinity for human, rat, dog and monkey Mcl-1 but about a ten-fold lower affinity for mouse Mcl-1. S64315/MIK665 causes dose-dependent activation of the intrinsic apoptosis pathway in a Bax/Bak-dependent manner, as measured by increased caspase activity and cleaved PARP. S64315/MIK665 shows strong cell killing activity in a diverse panel of human hematological tumor cell lines, including AML, lymphoma and MM. The activity profile of S64315/MIK665 is distinct from that of venetoclax, a selective Bcl2 inhibitor. In vivo, S64315 as single agent demonstrated potent and dose-dependent apoptotic and antitumor response after intravenous administration in several human hematological tumor models grafted in immuno-compromised mice and rats. Complete regression of established tumors, at well tolerated doses, was achieved using different intravenous dosing regimens in rats as well as in mice. Finally, dual BH3-mimetic targeting approach combining S64315/MIK665 with BCL2 inhibitors showed strong and durable antitumor responses in several hematological tumor models both in vitro and in vivo. Citation Format: Ana Leticia Maragno, Prakash Mistry, András Kotschy, Zoltán Szlavik, James Murray, James Davidson, Gaëtane Le Toumelin-Braizat, Maïa Chanrion, Alain Bruno, Audrey Claperon, Heiko Maacke, Erick Morris, Youzhen Wang, Alix Derreal, Márton Csekei, Attila Paczal, Zoltán Szabo, Szabolcs Sipos, Agnes Proszenyak, Balázs Balint, Allan Surgenor, Pawel Dokurno, Natalia Matassova, Ijen Chen, Gaëlle Lysiak-Auvity, Anne-Marie Girard, Fabienne Grave, Frédéric Colland, Ensar Halilovic, Olivier Geneste. S64315 (MIK665) is a potent and selective Mcl1 inhibitor with strong antitumor activity across a diverse range of hematologic tumor models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4482.

Molecular Basis for Ligand Modulation of a Mammalian Voltage-Gated Ca2+ Channel

The L-type voltage-gated Ca2+ (Cav) channels are modulated by various compounds exemplified by 1,4-dihydropyridines (DHP), benzothiazepines (BTZ), and phenylalkylamines (PAA), many of which have been used for characterizing channel properties and for treatment of hypertension and other disorders. Here, we report the cryoelectron microscopy (cryo-EM) structures of Cav1.1 in complex with archetypal antagonistic drugs, nifedipine, diltiazem, and verapamil, at resolutions of 2.9Å, 3.0Å, and 2.7Å, respectively, and with a DHP agonist Bay K 8644 at 2.8Å. Diltiazem and verapamil traverse the central cavity of the pore domain, directly blocking ion permeation. Although nifedipine and Bay K 8644 occupy the same fenestration site at the interface of repeats III and IV, the coordination details support previous functional observations that Bay K 8644 is less favored in the inactivated state. These structures elucidate the modes of action of different Cav ligands and establish a framework for structure-guided drug discovery.

Structure-guided fragment-based drug discovery at the synchrotron: screening binding sites and correlations with hotspot mapping.

Structure-guided drug discovery emerged in the 1970s and 1980s, stimulated by the three-dimensional structures of protein targets that became available, mainly through X-ray crystal structure analysis, assisted by the development of synchrotron radiation sources. Structures of known drugs or inhibitors were used to guide the development of leads. The growth of high-throughput screening during the late 1980s and the early 1990s in the pharmaceutical industry of chemical libraries of hundreds of thousands of compounds of molecular weight of approximately 500 Da was impressive but still explored only a tiny fraction of the chemical space of the predicted 1040 drug-like compounds. The use of fragments with molecular weights less than 300 Da in drug discovery not only decreased the chemical space needing exploration but also increased promiscuity in binding targets. Here we discuss advances in X-ray fragment screening and the challenge of identifying sites where fragments not only bind but can be chemically elaborated while retaining their positions and binding modes. We first describe the analysis of fragment binding using conventional X-ray difference Fourier techniques, with Mycobacterium abscessus SAICAR synthetase (PurC) as an example. We observe that all fragments occupy positions predicted by computational hotspot mapping. We compare this with fragment screening at Diamond Synchrotron Light Source XChem facility using PanDDA software, which identifies many more fragment hits, only some of which bind to the predicted hotspots. Many low occupancy sites identified may not support elaboration to give adequate ligand affinity, although they will likely be useful in drug discovery as ‘warm spots’ for guiding elaboration of fragments bound at hotspots. We discuss implications of these observations for fragment screening at the synchrotron sources.This article is part of the theme issue ‘Fifty years of synchrotron science: achievements and opportunities’.

Structural insight into Class F receptors - What have we learnt regarding agonist-induced activation?

Class F receptors, including the ten Frizzleds (FZD1-10 ) and SMO, mediate the effects of WNTs and hedgehog proteins and belong to the superfamily of G protein-coupled receptors (GPCRs). While the recent, high-resolution insight into mechanisms of GPCR activation provides a better understanding of receptor activation in Class A, B and C GPCRs, it remains unclear how Class F receptors bind their ligands, how ligand binding is translated to receptor activation and how signal initiation and specification are achieved. Here, we summarize recent efforts in elucidating Class F receptor structure and activation mechanisms and critically discuss the progress made in this area. A better understanding of the activation mechanisms of Class F receptors is required to engage in mechanism-based and structure-guided drug discovery to exploit the large therapeutic potential of targeting these receptors pharmacologically.

A close look onto structural models and primary ligands of metallo-β-lactamases.

β-Lactamases are hydrolytic enzymes capable of opening the β-lactam ring of antibiotics such as penicillin, thus endowing the bacteria that produce them with antibiotic resistance. Of particular medical concern are metallo-β-lactamases (MBLs), with an active site built around coordinated Zn cations. MBLs are pan-reactive enzymes that can break down almost all classes of β-lactams, including such last-resort antibiotics as carbapenems. They are not only broad-spectrum-reactive but are often plasmid-borne (e.g., the New Delhi enzyme, NDM), and can spread horizontally even among unrelated bacteria. Acquired MBLs are encoded by mobile genetic elements, which often include other resistance genes, making the microbiological situation particularly alarming. There is an urgent need to develop MBL inhibitors in order to rescue our antibiotic armory. A number of such efforts have been undertaken, most notably using the 3D structures of various MBLs as drug-design targets. Structure-guided drug discovery depends on the quality of the structures that are collected in the Protein Data Bank (PDB) and on the consistency of the information in dedicated β-lactamase databases. We conducted a careful review of the crystal structures of class B β-lactamases, concluding that the quality of these structures varies widely, especially in the regions where small molecules interact with the macromolecules. In a number of examples the interpretation of the bound ligands (e.g., inhibitors, substrate/product analogs) is doubtful or even incorrect, and it appears that in some cases the modeling of ligands was not supported by electron density. For ten MBL structures, alternative interpretations of the original diffraction data could be proposed and the new models have been deposited in the PDB. In four cases, these models, prepared jointly with the authors of the original depositions, superseded the previous deposits. This review emphasizes the importance of critical assessment of structural models describing key drug design targets at the level of the raw experimental data. Since the structures reviewed here are the basis for ongoing design of new MBL inhibitors, it is important to identify and correct the problems with ambiguous crystallographic interpretations, thus enhancing reproducibility in this highly medically relevant area.

RCSB Protein Data Bank: enabling breakthroughs in biomedical research and structure-guided drug discovery

RCSB Protein Data Bank: enabling breakthroughs in biomedical research and structure-guided drug discovery

Deciphering the mechanism of potent peptidomimetic inhibitors targeting plasmepsins - biochemical and structural insights.

Malaria is a deadly disease killing worldwide hundreds of thousands people each year and the responsible parasite has acquired resistance to the available drug combinations. The four vacuolar plasmepsins (PMs) in Plasmodium falciparum involved in hemoglobin (Hb) catabolism represent promising targets to combat drug resistance. High antimalarial activities can be achieved by developing a single drug that would simultaneously target all the vacuolar PMs. We have demonstrated for the first time the use of soluble recombinant plasmepsin II (PMII) for structure-guided drug discovery with KNI inhibitors. Compounds used in this study (KNI-10742, 10743, 10395, 10333, and 10343) exhibit nanomolar inhibition against PMII and are also effective in blocking the activities of PMI and PMIV with the low nanomolar Ki values. The high-resolution crystal structures of PMII-KNI inhibitor complexes reveal interesting features modulating their differential potency. Important individual characteristics of the inhibitors and their importance for potency have been established. The alkylamino analog, KNI-10743, shows intrinsic flexibility at the P2 position that potentiates its interactions with Asp132, Leu133, and Ser134. The phenylacetyl tripeptides, KNI-10333 and KNI-10343, accommodate different ρ-substituents at the P3 phenylacetyl ring that determine the orientation of the ring, thus creating novel hydrogen-bonding contacts. KNI-10743 and KNI-10333 possess significant antimalarial activity, block Hb degradation inside the food vacuole, and show no cytotoxicity on human cells; thus, they can be considered as promising candidates for further optimization. Based on our structural data, novel KNI derivatives with improved antimalarial activity could be designed for potential clinical use. DATABASE: Structural data are available in the PDB under the accession numbers 5YIE, 5YIB, 5YID, 5YIC, and 5YIA.

TNF Receptor Type II as an Emerging Drug Target for the Treatment of Cancer, Autoimmune Diseases, and Graft-Versus-Host Disease: Current Perspectives and In Silico Search for Small Molecule Binders.

There is now compelling evidence that TNF receptor type II (TNFR2) is predominantly expressed on CD4+Foxp3+ regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs), and plays a major role in the expansion and function of Tregs and MDSCs. Consequently, targeting of TNFR2 by either antagonists or agonists may represent a novel strategy in the treatment of cancer and autoimmune diseases, by downregulating or upregulating suppressor cell activity. The advance in the understanding of complex structure of TNFR2 and its binding with TNF at molecular levels offers opportunity for structure-guided drug discovery. This article reviews the current evidences regarding the decisive role of TNFR2 in immunosuppressive function of Tregs and MDSCs, and the current effort to develop novel TNFR2-targeting therapeutic agents in the treatment of cancer, autoimmune diseases, and graft-versus-host disease. To shed light on the potential TNFR2-targeting small molecules, we for the first time performed virtual screening of 400,000 natural compounds against the two TNF-binding sites, regions 3 and 4, of TNFR2. Our result showed that the top hits at region 4 had slightly higher docking energies than those at region 3. Nevertheless, free energy calculation from the TNF–TNFR2 molecular dynamics simulation revealed that the binding strength of TNF in region 3 is only one-tenth of that in region 4. This suggests that region 3 is a potentially more viable binding site to be targeted by small molecules than region 4. Therefore, the effectiveness in targeting region 3 of TNFR2 deserves further investigation.

Ligand Proton Pseudocontact Shifts Determined from Paramagnetic Relaxation Dispersion in the Limit of NMR Intermediate Exchange.

Delineation of protein-ligand interaction modes is key for rational drug discovery. The availability of complex crystal structures is often limited by the aqueous solubility of the compounds, while lead-like compounds with micromolar affinities normally fall into the NMR intermediate exchange regime, in which severe line broadening to beyond the detection of interfacial resonances limits NMR applications. Here, we developed a new method to retrieve low-populated bound-state 1H pseudocontact shifts (PCSs) using paramagnetic relaxation dispersion (RD). We evaluated using a 1H PCS-RD approach in a BRM bromodomain lead-like inhibitor to filter molecular docking poses using multiple intermolecular structural restraints. Considering the universal presence of proton atoms in druglike compounds, our work will have wide application in structure-guided drug discovery even under an extreme condition of NMR intermediate exchange and low aqueous solubility of ligands.

Validation of ligands in macromolecular structures determined by X-ray crystallography.

Crystallographic studies of ligands bound to biological macromolecules (proteins and nucleic acids) play a crucial role in structure-guided drug discovery and design, and also provide atomic level insights into the physical chemistry of complex formation between macromolecules and ligands. The quality with which small-molecule ligands have been modelled in Protein Data Bank (PDB) entries has been, and continues to be, a matter of concern for many investigators. Correctly interpreting whether electron density found in a binding site is compatible with the soaked or co-crystallized ligand or represents water or buffer molecules is often far from trivial. The Worldwide PDB validation report (VR) provides a mechanism to highlight any major issues concerning the quality of the data and the model at the time of deposition and annotation, so the depositors can fix issues, resulting in improved data quality. The ligand-validation methods used in the generation of the current VRs are described in detail, including an examination of the metrics to assess both geometry and electron-density fit. It is found that the LLDF score currently used to identify ligand electron-density fit outliers can give misleading results and that better ligand-validation metrics are required.

Abstract 3236: Delivering selective and cell-active inhibitors of V804M mutant RET kinase through structure-guided drug discovery

Abstract Activating gene fusions in the RET receptor tyrosine kinase have been found to drive 1-2% of lung adenocarcinomas and therefore offer an attractive target for targeted therapy. Whilst non-selective tyrosine kinase inhibitors with RET activity are efficacious in this setting, their use is generally limited by dose limiting toxicity associated with their more potent activity versus other targets, specifically KDR (VEGFR2) in the case of cabozantinib and vandetanib. Given this limitation, there is considerable interest in developing more selective inhibitors of RET kinase. Tyrosine kinase inhibitors are prone to early clinical failure due to mutations in the kinase ATPase binding domain, which render the kinase catalytically active but no longer sensitive to drug treatment. Such mutations often occur in the so-called “gatekeeper” region and in this specific case, resistance is predicted to arise from a Val-Met or Val-Leu mutation at residue 804. Through a combination of computational methods, structural biology and drug design, we have identified and further optimized a series of inhibitors of the V804M mutant RET kinase which show sub-micromolar cellular activity in cells driven by V804M RET. Moreover, these agents show excellent selectivity against the wtRET kinase and KDR. As such, these agents may offer valuable start-points for second-generation RET inhibitors for use in patents who relapse after treatment with first generation selective RET inhibitors. Citation Format: Allan M. Jordan, Rebecca Newton, Bohdan Waszkowycz, Richard Bayliss, Habiba Begum, Daniel Burschowsky, Aude Echalier, Samantha Hitchin, Colin Hutton, Shaun Johns, Stuart Jones, Li-Ying Lin, Mark Richards, Chitra Seewooruthun, Alex Stowell, Ian Waddell, Mandy Watson, Donald Ogilvie. Delivering selective and cell-active inhibitors of V804M mutant RET kinase through structure-guided drug discovery [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3236. doi:10.1158/1538-7445.AM2017-3236

Protein crystallography and drug discovery: recollections of knowledge exchange between academia and industry.

The development of structure-guided drug discovery is a story of knowledge exchange where new ideas originate from all parts of the research ecosystem. Dorothy Crowfoot Hodgkin obtained insulin from Boots Pure Drug Company in the 1930s and insulin crystallization was optimized in the company Novo in the 1950s, allowing the structure to be determined at Oxford University. The structure of renin was developed in academia, on this occasion in London, in response to a need to develop antihypertensives in pharma. The idea of a dimeric aspartic protease came from an international academic team and was discovered in HIV; it eventually led to new HIV antivirals being developed in industry. Structure-guided fragment-based discovery was developed in large pharma and biotechs, but has been exploited in academia for the development of new inhibitors targeting protein-protein interactions and also antimicrobials to combat mycobacterial infections such as tuberculosis. These observations provide a strong argument against the so-called 'linear model', where ideas flow only in one direction from academic institutions to industry. Structure-guided drug discovery is a story of applications of protein crystallography and knowledge exhange between academia and industry that has led to new drug approvals for cancer and other common medical conditions by the Food and Drug Administration in the USA, as well as hope for the treatment of rare genetic diseases and infectious diseases that are a particular challenge in the developing world.

Structural Insight into Allosteric Inhibition of Mycobacterium tuberculosis Tryptophan Synthase

The rise of antibiotic‐resistant pathogens requires redirecting drug discovery effort toward new cellular targets to provide new treatment options. Such alternative, yet unexplored opportunities exist in central metabolism, where many enzymes are only conditionally essential and thus their successful exploitation requires understanding of metabolic fluxes and pathway regulations under certain environmental conditions. In Mycobacterium tuberculosis, tryptophan biosynthesis represents one such promising pathway that could be targeted. In Mtb, the multistep L‐Trp synthesis involves several enzymes: TrpEG, TrpD, TrpC and TrpAB, which is validated as conditionally essential in vivo. The whole‐cell screening of a diversity‐oriented synthetic library identified a novel bactericidal azetidine derivative, BRD4592, that specifically inhibits TrpAB (tryptophan synthase). TrpAB is a heterotetrameric, PLP‐dependent complex catalyzing two last reactions in L‐Trp synthesis: the conversion of indole‐3‐glycerol phosphate to indole and glyceraldehyde 3‐phosphate (TrpA) followed by indole and L‐Ser condensation to yield L‐Trp (TrpB). During the catalytic cycle, indole is transferred from the TrpA to TrpB active site through 25 Å hydrophobic channel to react with the L‐Ser‐PLP adduct. The enzymatic activities and substrate channeling are coordinated by complex allosteric communication between the subunits. This regulation involves cycling between various conformational states, with both subunits adopting either an open (inactive) or closed (active) state. Detailed kinetic, biophysical and structural evidence reveals that BRD4592 is an allosteric, mixed‐type inhibitor, which binds specifically to a novel site within the intersubunit channel, at the TrpA‐TrpB interface. The molecule promotes closed, active state of the TrpB subunit and increases enzyme affinity for the L‐Ser substrate. BRD4592 acts on three levels: it limits flexibility of the interface potentially disrupting mutual activation of the subunits, prevents indole translocation, and increases product inhibition providing means to successfully inhibit both, TrpA and TrpB reactions. Our results indicate that allosteric binders may represent an effective tool to deactivate central metabolism enzymes, which often are allosterically regulated and might be predisposed for this type of inhibition.Support or Funding InformationThis work was supported by the Broad Institute Tuberculosis donor group, the Pershing Square Foundation, the Bill & Melinda Gates Foundation under grant OPP1032518, the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under contracts HHSN272200700058C and HHSN272201200026C and the U. S. Department of Energy, Office of Biological and Environmental Research, under contract DE‐AC02‐06CH11357. For this work, University of Chicago is a subgrantee of Structural Genomics Consortium under a Bill & Melinda Gates Foundation grant for the Structure‐Guided Drug Discovery Coalition.

Highlights from Recent Cancer Literature

Highlights from Recent Cancer Literature

Structure-guided, target-based drug discovery – exploiting genome information from HIV to mycobacterial infections

The use of protein crystallography in structure-guided drug discovery allows identification of potential inhibitor-binding sites and optimisation of interactions of hits and lead compounds with a target protein. An early example of this approach was the use of the structure of HIV protease in designing AIDS antivirals. More recently, use of structure-guided design with fragment-based drug discovery, which reduces the size of screening libraries by decreasing complexity, has improved ligand efficiency in drug design. Here, we discuss the use of structure-guided target identification and lead optimisation using fragment-based approaches in the development of new antimicrobials for mycobacterial infections.