Orthogonal luminescence lifetime encoding by intermetallic energy transfer in heterometallic rare-earth MOFs.

Lifetime-encoded materials are particularly attractive as optical tags, however examples are rare and hindered in practical application by complex interrogation methods. Here, we demonstrate a design strategy towards multiplexed, lifetime-encoded tags via engineering intermetallic energy transfer in a family of heterometallic rare-earth metal-organic frameworks (MOFs). The MOFs are derived from a combination of a high-energy donor (Eu), a low-energy acceptor (Yb) and an optically inactive ion (Gd) with the 1,2,4,5 tetrakis(4-carboxyphenyl) benzene (TCPB) organic linker. Precise manipulation of the luminescence decay dynamics over a wide microsecond regime is achieved via control over metal distribution in these systems. Demonstration of this platform's relevance as a tag is attained via a dynamic double encoding method that uses the braille alphabet, and by incorporation into photocurable inks patterned on glass and interrogated via digital high-speed imaging. This study reveals true orthogonality in encoding using independently variable lifetime and composition, and highlights the utility of this design strategy, combining facile synthesis and interrogation with complex optical properties.

Alpha Oscillations During Effortful Continuous Speech: From Scalp EEG to Ear-EEG.

OBJECTIVE: The purpose of this study was to investigate alpha power as an objective measure of effortful listening in continuous speech with scalp and ear-EEG. METHODS: Scalp and ear-EEG were recorded simultaneously during presentation of a 33-s news clip in the presence of 16-talker babble noise. Four different signal-to-noise ratios (SNRs) were used to manipulate task demand. The effects of changes in SNR were investigated on alpha event-related synchronization (ERS) and desynchronization (ERD). Alpha activity was extracted from scalp EEG using different referencing methods (common average and symmetrical bi-polar) in different regions of the brain (parietal and temporal) and ear-EEG. RESULTS: Alpha ERS decreased with decreasing SNR (i.e., increasing task demand) in both scalp and ear-EEG. Alpha ERS was also positively correlated to behavioural performance which was based on the questions regarding the contents of the speech. CONCLUSION: Alpha ERS/ERD is better suited to track performance of a continuous speech than listening effort. SIGNIFICANCE: EEG alpha power in continuous speech may indicate of how well the speech was perceived and it can be measured with both scalp and Ear-EEG.

ATG16L1 WD40 domain-dependent IL10R (interleukin 10 receptor) signaling is insensitive to the T300A Crohn disease risk polymorphism.

A coding allele of ATG16L1 that increases the risk of Crohn disease (T300A; rs2241880) impairs the interaction between the C-terminal WD40 domain (WDD) and proteins containing a WDD-binding motif, thus specifically inhibiting the unconventional autophagic activities of ATG16L1. In a recent publication we described a novel atypical role of ATG16L1 in the regulation of IL10R (interleukin 10 receptor) trafficking and signaling, an activity that involves direct interaction between the WDD and a target motif present in IL10RB (interleukin 10 receptor subunit beta). Here we show that, unexpectedly, neither the ability of ATG16L1 to interact with IL10RB nor its role in supporting IL10 signaling are altered by the T300A mutation. These results indicate that the ATG16L1T300A allele selectively impairs the interaction between the WDD and a subset of WDD-binding motif versions, suggesting that only a fraction of the unconventional activities mediated by ATG16L1 are required to prevent Crohn disease.Abbreviations: ATG, autophagy related; ATG16L1, autophagy related 16 like 1; BMDMs, bone marrow-derived macrophages; CRISPR, clustered regularly interspaced short palindromic repeats; CSF1/M-CSF, colony stimulating factor 1; FBS, fetal bovine serum; GSH, glutathione; IL10, interleukin 10; IL10R, interleukin 10 receptor; LPS, lipopolysaccharide; MAP1LC3/LC3, microtubule associated protein 1 light chain 3; MEFs, mouse embryonic fibroblasts; PMA, phorbol myristate acetate; p-STAT3: phosphorylated STAT3; qPCR, quantitative polymerase chain reaction; SDS, sodium dodecyl sulfate; sgRNA, single guide RNA; TMEM59, transmembrane protein 59; TNF, tumor necrosis factor; TNFAIP3/A20, TNF alpha induced protein 3; WDD, WD40 domain; WIPI2, WD repeat domain, phosphoinositide interacting 2.

Unconventional WD40 domain-dependent role of ATG16L1 in the regulation of IL10R (interleukin 10 receptor) endocytosis, trafficking and signaling.

ATG16L1 is a critical mediator of macroautophagy/autophagy required for LC3 lipidation and autophagosome formation. However, ATG16L1 has a C-terminal domain including 7 WD40-type repetitions (WD40 domain, WDD) that is unnecessary for the conventional autophagic pathway. Instead, this domain mediates unconventional activities where LC3 is lipidated in atypical subcellular localizations unrelated to canonical double-membrane autophagosomes. The WDD provides a docking surface for molecules including a specific amino acid motif, thus engaging the LC3 lipidation capabilities of ATG16L1 in single-membrane structures. The physiological implications of such atypical activities are poorly characterized. In a recent report we described the improvement of the WDD-binding motif and the identification of transmembrane molecules that harbor this element in their intracellular region. One of them, IL10RB (interleukin 10 receptor subunit beta), binds the WDD after IL10 activation to facilitate endocytosis, early trafficking and signaling of IL10-IL10R complexes without influencing their degradation rate. These results reveal a novel unconventional role of ATG16L1 in cytokine signaling that does not entail a degradative purpose, thus contributing to catalog the physiological roles played by unconventional activities of the autophagic machinery.

High Throughput Screening to Identify Selective and Nonpeptidomimetic Proteasome Inhibitors As Antimalarials.

The Ubiquitin Proteasome System is the main proteolytic pathway in eukaryotic cells, playing a role in key cellular processes. The essentiality of the Plasmodium falciparum proteasome is well validated, underlying its potential as an antimalarial target, but selective compounds are required to avoid cytotoxic effects in humans. Almost 550000 compounds were tested for the inhibition of the chymotrypsin-like activity of the P. falciparum proteasome using a Proteasome-GLO luminescence assay. Hits were confirmed in an orthogonal enzyme assay using Rho110-labeled peptides, and selectivity was assessed against the human proteasome. Four nonpeptidomimetic chemical families with some selectivity for the P. falciparum proteasome were identified and characterized in assays of proteasome trypsin and caspase activities and in parasite growth inhibition assays. Target engagement studies were performed, validating our approach. Hits identified are good starting points for the development of new antimalarial drugs and as tools to better understand proteasome function in P. falciparum.

Regulation of cytokine signaling through direct interaction between cytokine receptors and the ATG16L1 WD40 domain.

ATG16L1, an autophagy mediator that specifies the site of LC3 lipidation, includes a C-terminal domain formed by 7 WD40-type repeats (WD40 domain, WDD), the function of which is unclear. Here we show that the WDD interacts with the intracellular domain of cytokine receptors to regulate their signaling output in response to ligand stimulation. Using a refined version of a previously described WDD-binding amino acid motif, here we show that this element is present in the intracellular domain of cytokine receptors. Two of these receptors, IL-10RB and IL-2Rγ, recognize the WDD through the motif and exhibit WDD-dependent LC3 lipidation activity. IL-10 promotes IL-10RB/ATG16L1 interaction through the WDD, and IL-10 signaling is suboptimal in cells lacking the WDD owing to delayed endocytosis and inefficient early trafficking of IL10/IL-10R complexes. Our data reveal WDD-dependent roles of ATG16L1 in the regulation of cytokine receptor trafficking and signaling, and provide a WDD-binding motif that might be used to identify additional WDD activators.

Identification of Small Molecules Disrupting the Ubiquitin Proteasome System in Malaria.

The ubiquitin proteasome system (UPS) is one of the main proteolytic pathways in eukaryotic cells, playing an essential role in key cellular processes such as cell cycling and signal transduction. Changes in some of the components of this pathway have been implicated in various conditions, including cancer and infectious diseases such as malaria. The success of therapies based on proteasome inhibitors has been shown in human clinical trials. In addition to its proven tractability, the essentiality of the Plasmodium falciparum UPS underlines its potential as a source of targets to identify new antimalarial treatments. Two assays, previously developed to quantify the parasite protein ubiquitylation levels in a high throughput format, have been used to identify compounds that inhibit parasite growth by targeting P. falciparum UPS. Among the positive hits, specific inhibitors of the P. falciparum proteasome have been identified and characterized. Hits identified using this approach may be used as starting points for development of new antimalarial drugs. They may also be used as tools to further understand proteasome function and to identify new targets in P. falciparum UPS.

Unravelling the covalent binding of zampanolide and taccalonolide AJ to a minimalist representation of a human microtubule.

Many natural products target mammalian tubulin but only a few can form a covalent bond and hence irreversibly affect microtubule function. Among them, zampanolide (ZMP) and taccalonolide AJ (TAJ) stand out, not only because they are very potent antitumor agents but also because the adducts they form with ß-tubulin have been structurally characterized in atomic detail. By applying model building techniques, molecular orbital calculations, molecular dynamics simulations and hybrid QM/MM methods, we have gained insight into the 1,2- and 1,4-addition reactions of His229 and Asp226 to ZMP and TAJ, respectively, in the taxane-binding site of ß-tubulin. The experimentally inaccessible precovalent complexes strongly suggest a water-mediated proton shuttle mechanism for ZMP adduct formation and a direct nucleophilic attack by the carboxylate of Asp226 on C22 of the C22R,C23R epoxide in TAJ. The M-loop, which is crucially important for interprotofilament interactions, is structured into a short helix in both types of complexes, mostly as a consequence of the fixation of the phenol ring of Tyr283 and the guanidinium of Arg284. As a side benefit, we obtained evidence supporting the existence of a commonly neglected intramolecular disulfide bond between Cys241 and Cys356 in ß-tubulin that contributes to protein compactness and is absent in the ßIII isotype associated with resistance to taxanes and other drugs.

Collaborative drug discovery and the Tres Cantos Antimalarial Set (TCAMS).

Malaria affects a population of over 200 million people worldwide. New drugs are needed because of widespread resistance, and the hunt for such drugs involves a coordinated research effort from the scientific community. The release of the Tres Cantos Antimalarial Set (TCAMS) in 2010 represented a landmark in the field of collaborative drug discovery for malaria. This set of >13 000 molecules with confirmed activity against several strains of Plasmodium falciparum was publicly released with the goal of fostering additional research beyond the GlaxoSmithKline (GSK) network of collaborators. Here, we examine the outcomes realized from TCAMS over the past 8 years and whether the expectations surrounding this initiative have become a reality.

Identification of NEK3 and MOK as novel targets for lithium.

Lithium ion, commonly used as the carbonate salt in the treatment of bipolar disorders, has been identified as an inhibitor of several kinases, including Glycogen Synthase Kinase-3ß, for almost 20 years. However, both the exact mechanism of enzymatic inhibition and its apparent specificity for certain metalloenzymes are still a matter of debate. A data-driven hypothesis is presented that accounts for the specificity profile of kinase inhibition by lithium in terms of the presence of a unique protein environment in the magnesium-binding site. This hypothesis has been validated by the discovery of two novel potential targets for lithium, namely NEK3 and MOK, which are related to neuronal function.

Active learning strategies with COMBINE analysis: new tricks for an old dog.

The COMBINE method was designed to study congeneric series of compounds including structural information of ligand-protein complexes. Although very successful, the method has not received the same level of attention than other alternatives to study Quantitative Structure Active Relationships (QSAR) mainly because lack of ways to measure the uncertainty of the predictions and the need for large datasets. Active learning, a semi-supervised learning approach that makes use of uncertainty to enhance models' performance while reducing the size of the training sets, has been used in this work to address both problems. We propose two estimators of uncertainty: the pool of regressors and the distance to the training set. The performance of the methods has been evaluated by testing the resulting active learning workflows in 3 diverse datasets: HIV-1 protease inhibitors, Taxol-derivatives and BRD4 inhibitors. The proposed strategies were successful in 80% of the cases for the taxol-derivatives and BRD4 inhibitors, while outperformed random selection in the case of the HIV-1 protease inhibitors time-split. Our results suggest that AL-COMBINE might be an effective way of producing consistently superior QSAR models with a limited number of samples.

Optimal HTS Fingerprint Definitions by Using a Desirability Function and a Genetic Algorithm.

The use of compound biological fingerprints built on data from high-throughput screening (HTS) campaigns, or HTS fingerprints, is a novel cheminformatics method of representing compounds by integrating chemical and biological activity data that is gaining momentum in its application to drug discovery, including hit expansion, target identification, and virtual screening. HTS fingerprints present two major limitations, noise and missing data, which are intrinsic to the high-throughput data acquisition technologies and to the assay availability or assay selection procedure used for their construction. In this work, we present a methodology to define an optimal set of HTS fingerprints by using a desirability function that encodes the principles of maximum biological and chemical space coverage and minimum redundancy between HTS assays. We used a genetic algorithm to optimize the desirability function and obtained an optimal fingerprint that was evaluated for performance in a test set of 33 diverse assays. Our results show that the optimal HTS fingerprint represents compounds in chemical biology space using 25% fewer assays. When used for virtual screening, the optimal HTS fingerprint obtained equivalent performance, in terms of both area under the curve and enrichment factors, to full fingerprints for 27 out of 33 test assays, while randomly assembled fingerpints could achieve equivalent performance in only 23 test assays.

HtrA1 Mediated Intracellular Effects on Tubulin Using a Polarized RPE Disease Model.

Age-related macular degeneration (AMD) is the leading cause of irreversible vision loss. The protein HtrA1 is enriched in retinal pigment epithelial (RPE) cells isolated from AMD patients and in drusen deposits. However, it is poorly understood how increased levels of HtrA1 affect the physiological function of the RPE at the intracellular level. Here, we developed hfRPE (human fetal retinal pigment epithelial) cell culture model where cells fully differentiated into a polarized functional monolayer. In this model, we fine-tuned the cellular levels of HtrA1 by targeted overexpression. Our data show that HtrA1 enzymatic activity leads to intracellular degradation of tubulin with a corresponding reduction in the number of microtubules, and consequently to an altered mechanical cell phenotype. HtrA1 overexpression further leads to impaired apical processes and decreased phagocytosis, an essential function for photoreceptor survival. These cellular alterations correlate with the AMD phenotype and thus highlight HtrA1 as an intracellular target for therapeutic interventions towards AMD treatment.

HtrA1 activation is driven by an allosteric mechanism of inter-monomer communication.

The human protease family HtrA is responsible for preventing protein misfolding and mislocalization, and a key player in several cellular processes. Among these, HtrA1 is implicated in several cancers, cerebrovascular disease and age-related macular degeneration. Currently, HtrA1 activation is not fully characterized and relevant for drug-targeting this protease. Our work provides a mechanistic step-by-step description of HtrA1 activation and regulation. We report that the HtrA1 trimer is regulated by an allosteric mechanism by which monomers relay the activation signal to each other, in a PDZ-domain independent fashion. Notably, we show that inhibitor binding is precluded if HtrA1 monomers cannot communicate with each other. Our study establishes how HtrA1 trimerization plays a fundamental role in proteolytic activity. Moreover, it offers a structural explanation for HtrA1-defective pathologies as well as mechanistic insights into the degradation of complex extracellular fibrils such as tubulin, amyloid beta and tau that belong to the repertoire of HtrA1.

Structural rationale for the cross-resistance of tumor cells bearing the A399V variant of elongation factor eEF1A1 to the structurally unrelated didemnin B, ternatin, nannocystin A and ansatrienin B.

At least four classes of structurally distinct natural products with potent antiproliferative activities target the translation elongation factor eEF1A1, which is best known as the G-protein that delivers amino acyl transfer RNAs (aa-tRNAs) to ribosomes during mRNA translation. We present molecular models in atomic detail that provide a common structural basis for the high-affinity binding of didemnin B, ternatin, ansatrienin B and nannocystin A to eEF1A1, as well as a rationale based on molecular dynamics results that accounts for the deleterious effect of replacing alanine 399 with valine. The proposed binding site, at the interface between domains I and III, is eminently hydrophobic and exists only in the GTP-bound conformation. Drug binding at this site is expected to disrupt neither loading of aa-tRNAs nor GTP hydrolysis but would give rise to stabilization of this particular conformational state, in consonance with reported experimental findings. The experimental solution of the three-dimensional structure of mammalian eEF1A1 has proved elusive so far and the highly homologous eEF1A2 from rabbit muscle has been crystallized and solved only as a homodimer in a GDP-bound conformation. Interestingly, in this dimeric structure the large interdomain cavity where the drugs studied are proposed to bind is occupied by a mostly hydrophobic α-helix from domain I of the same monomer. Since binding of this α-helix and any of these drugs to domain III of eEF1A(1/2) is, therefore, mutually exclusive and involves two distinct protein conformations, one intriguing possibility that emerges from our study is that the potent antiproliferative effect of these natural products may arise not only from inhibition of protein synthesis, which is the current dogma, but also from interference with some other non-canonical functions. From this standpoint, this type of drugs could be considered antagonists of eEF1A1/2 oligomerization, a hypothesis that opens up novel areas of research.

Making sense of the past: hyperstability of ancestral thioredoxins explained by free energy simulations.

Thioredoxin (Trx), a small and globular protein, is present in all kinds of organisms, from Archea to higher mammals. Throughout evolution, the Trx sequence has undergone subtle modifications to adapt to varying environmental conditions. The high degree of sequence conservation makes Trx very amenable to ancestral protein reconstruction techniques. In this work, we address the study of the structural and energetic determinants of thermostability in E. coli Trx using a dataset of mutations inspired by ancestral reconstruction. We compute, from first principles, the expected contribution of 19 different amino acid substitutions to the stability (ΔΔG) and the melting temperature (ΔTm) of the protein. We also describe the specific changes in structure and protein dynamics responsible for the stabilizing or destabilizing effects of these mutations. Our results point to local and independent changes for most of the variants. Our predictions are accurate enough to substantiate the proposal of new hypotheses regarding evolutionary relationships between mutations, as in the case of T89R, P68A and G74S or K90L and F102A, and reach beyond the initial set to suggest improved variants, such as K90I or K90Y.

Stepwise Simulation of 3,5-Dihydro-5-methylidene-4H-imidazol-4-one (MIO) Biogenesis in Histidine Ammonia-lyase.

A 3,5-dihydro-5-methylidene-4H-imidazol-4-one (MIO) electrophilic moiety is post-translationally and autocatalytically generated in homotetrameric histidine ammonia-lyase (HAL) and other enzymes containing the tripeptide Ala-Ser-Gly in a suitably positioned loop. The backbone cyclization step is identical to that taking place during fluorophore formation in green fluorescent protein from the tripeptide Ser-Tyr-Gly, but dehydration, rather than dehydrogenation by molecular oxygen, is the reaction that gives rise to the mature MIO ring system. To gain additional insight into this unique process and shed light on some still unresolved issues, we have made use of extensive molecular dynamics simulations and hybrid quantum mechanics/molecular mechanics calculations implementing the self-consistent charge density functional tight-binding method on a fully solvated tetramer of Pseudomonas putida HAL. Our results strongly support the idea that mechanical compression of the reacting loop by neighboring protein residues in the precursor state is absolutely required to prevent formation of inhibitory main-chain hydrogen bonds and to enforce proper alignment of donor and acceptor orbitals for bond creation. The consideration of the protein environment in our computations shows that water molecules, which have been mostly neglected in previous theoretical work, play a highly relevant role in the reaction mechanism and, more importantly, that backbone cyclization resulting from the nucleophilic attack of the Gly amide lone pair on the π* orbital of the Ala carbonyl precedes side-chain dehydration of the central serine.

Aggregated Compound Biological Signatures Facilitate Phenotypic Drug Discovery and Target Elucidation.

Predicting the cellular response of compounds is a challenge central to the discovery of new drugs. Compound biological signatures have risen as a way of representing the perturbation produced by a compound in the cell. However, their ability to encode specific phenotypic information and generating tangible predictions remains unknown, mainly because of the inherent noise in such data sets. In this work, we statistically aggregate signals from several compound biological signatures to find compounds that produce a desired phenotype in the cell. We exploit this method in two applications relevant for phenotypic screening in drug discovery programs: target-independent hit expansion and target identification. As a result, we present here (i) novel nanomolar inhibitors of cellular division that reproduce the phenotype and the mode of action of reference natural products and (ii) blockers of the NKCC1 cotransporter for autism spectrum disorders. Our results were confirmed in both cellular and biochemical assays of the respective projects. In addition, these examples provided novel insights on the information content and biological significance of compound biological signatures from HTS, and their applicability to drug discovery in general. For target identification, we show that novel targets can be predicted successfully for drugs by reporting new activities for nimedipine, fluspirilene, and pimozide and providing a rationale for repurposing and side effects. Our results highlight the opportunities of reusing public bioactivity data for prospective drug discovery, including scenarios where the effective target or mode of action of a particular molecule is not known, such as in phenotypic screening campaigns.

Application of Artificial Intelligence to the Prediction of the Antimicrobial Activity of Essential Oils.

Essential oils (EOs) are vastly used as natural antibiotics in Complementary and Alternative Medicine (CAM). Their intrinsic chemical variability and synergisms/antagonisms between its components make difficult to ensure consistent effects through different batches. Our aim is to evaluate the use of artificial neural networks (ANNs) for the prediction of their antimicrobial activity. Methods. The chemical composition and antimicrobial activity of 49 EOs, extracts, and/or fractions was extracted from NCCLS compliant works. The fast artificial neural networks (FANN) software was used and the output data reflected the antimicrobial activity of these EOs against four common pathogens: Staphylococcus aureus, Escherichia coli, Candida albicans, and Clostridium perfringens as measured by standardised disk diffusion assays. Results. ANNs were able to predict >70% of the antimicrobial activities within a 10 mm maximum error range. Similarly, ANNs were able to predict 2 or 3 different bioactivities at the same time. The accuracy of the prediction was only limited by the inherent errors of the popular antimicrobial disk susceptibility test and the nature of the pathogens. Conclusions. ANNs can be reliable, fast, and cheap tools for the prediction of the antimicrobial activity of EOs thus improving their use in CAM.

Enantioselective oxidation of galactitol 1-phosphate by galactitol-1-phosphate 5-dehydrogenase from Escherichia coli.

Galactitol-1-phosphate 5-dehydrogenase (GPDH) is a polyol dehydrogenase that belongs to the medium-chain dehydrogenase/reductase (MDR) superfamily. It catalyses the Zn(2+)- and NAD(+)-dependent stereoselective dehydrogenation of L-galactitol 1-phosphate to D-tagatose 6-phosphate. Here, three crystal structures of GPDH from Escherichia coli are reported: that of the open state of GPDH with Zn(2+) in the catalytic site and those of the closed state in complex with the polyols Tris and glycerol, respectively. The closed state of GPDH reveals no bound cofactor, which is at variance with the conformational transition of the prototypical mammalian liver alcohol dehydrogenase. The main intersubunit-contacting interface within the GPDH homodimer presents a large internal cavity that probably facilitates the relative movement between the subunits. The substrate analogue glycerol bound within the active site partially mimics the catalytically relevant backbone of galactitol 1-phosphate. The glycerol binding mode reveals, for the first time in the polyol dehydrogenases, a pentacoordinated zinc ion in complex with a polyol and also a strong hydrogen bond between the primary hydroxyl group and the conserved Glu144, an interaction originally proposed more than thirty years ago that supports a catalytic role for this acidic residue.