An overview of the "Color Game" App project

The Color Game gaming app (2018–2019) invited players from all over the world to invent a visual language without words. Participants took part in a referential communication task where a Sender had to indicate a colour to a Receiver, with the help of black and white symbols. They could freely choose which other players they interacted with, and play repeatedly with their chosen contacts. This paper presents the Color Game dataset, accessible at https://osf.io/9yc25/, which records all interactions between app players. In its final cleaned-up version, the dataset contains 347,606 games by 2,535 players, from more than 100 different countries, speaking 80 different languages. This companion paper describes the app’s workings and history.1. General description 2. Preregistered predictions & projects 2.1. Preregistration process 2.2. The projects 2.2.1. FRIENDS (https://osf.io/y2vak/). 2.2.2. INFORMATION (https://osf.io/7y9pn/). 2.2.3. LANGUAGE (https://osf.io/a8bge/). 2.2.4. PRIORS (https://osf.io/dqhtv/). 2.2.5. SALIENCE (https://osf.io/f9xzq/) 2.2.6. TREES (https://osf.io/r7n32/). 2.3. Open-ended exploration 3. Open data & code 3.1. The Color Game dataset repository 3.2. Exclusion and inclusion criteria: preregistered rules 3.3. Exclusion and inclusion criteria: departures from the preregistered rules 3.4. Other datasets 3.5. Open code 4. Color Game deployment log 5. Descriptive and exploratory analyses 6. Acknowledgements 7. Creative Commons Licence 8. Data privacy Reference

Color terms: Native language semantic structure and artificial language structure formation in a large-scale online smartphone application

Artificial language games give researchers the opportunity to investigate the emergence and evolution of semantic structure, i.e. the organization of meaning spaces into discrete categories. A possible issue for this approach is that categories might simply carry over from participants’ native languages, a potential bias that has mostly been ignored. We investigate this in a referential communication game by comparing color terms from three different languages to those of an artificial language. Here, we assess the similarity of the semantic structures, and test the influence of the semantic structure on artificial language communication. We compare the in-game communication to a separate online naming task providing us with the native language structure. Our results show that native and artificial language structure overlap at least moderately. Furthermore, communicative behavior and performance were influenced by the shared semantic structure, but only for English-speaking pairs. These results imply a cognitive link between participants’ semantic structures and artificial language structure formation.1. Introduction - Artificial language games, semantic structure, and possible biases - Color terms and categorical facilitation 2. Method - The Color Game -- Participants -- Materials -- Procedure - Online survey -- Participants -- Materials -- Procedure - Predictions 3. Results - Prediction 1 - Prediction 2.1 - Prediction 2.2 - Prediction 2.3 - Prediction 3 4. Discussion 5. Conclusio

Juvenile Hormone (JH) Esterase of the Mosquito Culex quinquefasciatus Is Not a Target of the JH Analog Insecticide Methoprene

Juvenile hormones (JHs) are essential sesquiterpenes that control insect development and reproduction. JH analog (JHA) insecticides such as methoprene are compounds that mimic the structure and/or biological activity of JH. In this study we obtained a full-length cDNA, cqjhe, from the southern house mosquito Culex quinquefasciatus that encodes CqJHE, an esterase that selectively metabolizes JH. Unlike other recombinant esterases that have been identified from dipteran insects, CqJHE hydrolyzed JH with specificity constant (kcat/KM ratio) and Vmax values that are common among JH esterases (JHEs). CqJHE showed picomolar sensitivity to OTFP, a JHE-selective inhibitor, but more than 1000-fold lower sensitivity to DFP, a general esterase inhibitor. To our surprise, CqJHE did not metabolize the isopropyl ester of methoprene even when 25 pmol of methoprene was incubated with an amount of CqJHE that was sufficient to hydrolyze 7,200 pmol of JH to JH acid under the same assay conditions. In competition assays in which both JH and methoprene were available to CqJHE, methoprene did not show any inhibitory effects on the JH hydrolysis rate even when methoprene was present in the assay at a 10-fold higher concentration relative to JH. Our findings indicated that JHE is not a molecular target of methoprene. Our findings also do not support the hypothesis that methoprene functions in part by inhibiting the action of JHE

Inhibition of the Soluble Epoxide Hydrolase Promotes Albuminuria in Mice with Progressive Renal Disease

Epoxyeicotrienoic acids (EETs) are cytochrome P450-dependent anti-hypertensive and anti-inflammatory derivatives of arachidonic acid, which are highly abundant in the kidney and considered reno-protective. EETs are degraded by the enzyme soluble epoxide hydrolase (sEH) and sEH inhibitors are considered treatment for chronic renal failure (CRF). We determined whether sEH inhibition attenuates the progression of CRF in the 5/6-nephrectomy model (5/6-Nx) in mice. 5/6-Nx mice were treated with a placebo, an ACE-inhibitor (Ramipril, 40 mg/kg), the sEH-inhibitor cAUCB or the CYP-inhibitor fenbendazole for 8 weeks. 5/6-Nx induced hypertension, albuminuria, glomerulosclerosis and tubulo-interstitial damage and these effects were attenuated by Ramipril. In contrast, cAUCB failed to lower the blood pressure and albuminuria was more severe as compared to placebo. Plasma EET-levels were doubled in 5/6 Nx-mice as compared to sham mice receiving placebo. Renal sEH expression was attenuated in 5/6-Nx mice but cAUCB in these animals still further increased the EET-level. cAUCB also increased 5-HETE and 15-HETE, which derive from peroxidation or lipoxygenases. Similar to cAUCB, CYP450 inhibition increased HETEs and promoted albuminuria. Thus, sEH-inhibition failed to elicit protective effects in the 5/6-Nx model and showed a tendency to aggravate the disease. These effects might be consequence of a shift of arachidonic acid metabolism into the lipoxygenase pathway

Association of warfarin dose with genes involved in its action and metabolism

We report an extensive study of variability in genes encoding proteins that are believed to be involved in the action and biotransformation of warfarin. Warfarin is a commonly prescribed anticoagulant that is difficult to use because of the wide interindividual variation in dose requirements, the narrow therapeutic range and the risk of serious bleeding. We genotyped 201 patients for polymorphisms in 29 genes in the warfarin interactive pathways and tested them for association with dose requirement. In our study, polymorphisms in or flanking the genes VKORC1, CYP2C9, CYP2C18, CYP2C19, PROC, APOE, EPHX1, CALU, GGCX and ORM1-ORM2 and haplotypes of VKORC1, CYP2C9, CYP2C8, CYP2C19, PROC, F7, GGCX, PROZ, F9, NR1I2 and ORM1-ORM2 were associated with dose (P < 0.05). VKORC1, CYP2C9, CYP2C18 and CYP2C19 were significant after experiment-wise correction for multiple testing (P < 0.000175), however, the association of CYP2C18 and CYP2C19 was fully explained by linkage disequilibrium with CYP2C9*2 and/or *3. PROC and APOE were both significantly associated with dose after correction within each gene. A multiple regression model with VKORC1, CYP2C9, PROC and the non-genetic predictors age, bodyweight, drug interactions and indication for treatment jointly accounted for 62% of variance in warfarin dose. Weaker associations observed for other genes could explain up to ∼10% additional dose variance, but require testing and validation in an independent and larger data set. Translation of this knowledge into clinical guidelines for warfarin prescription will be likely to have a major impact on the safety and efficacy of warfarin. ELECTRONIC SUPPLEMENTARY MATERIAL: Supplementary material is available in the online version of this article at http://dx.doi.org/10.1007/s00439-006-0260-8 and is accessible for authorized users

Cytochrome P450-derived eicosanoids: the neglected pathway in cancer

Endogenously produced lipid autacoids are locally acting small molecule mediators that play a central role in the regulation of inflammation and tissue homeostasis. A well-studied group of autacoids are the products of arachidonic acid metabolism, among which the prostaglandins and leukotrienes are the best known. They are generated by two pathways controlled by the enzyme systems cyclooxygenase and lipoxygenase, respectively. However, arachidonic acid is also substrate for a third enzymatic pathway, the cytochrome P450 (CYP) system. This third eicosanoid pathway consists of two main branches: ω-hydroxylases convert arachidonic acid to hydroxyeicosatetraenoic acids (HETEs) and epoxygenases convert it to epoxyeicosatrienoic acids (EETs). This third CYP pathway was originally studied in conjunction with inflammatory and cardiovascular disease. Arachidonic acid and its metabolites have recently stimulated great interest in cancer biology; but, unlike prostaglandins and leukotrienes the link between cytochome P450 metabolites and cancer has received little attention. In this review, the emerging role in cancer of cytochrome P450 metabolites, notably 20-HETE and EETs, are discussed

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Effect of soluble epoxide hydrolase polymorphism on substrate and inhibitor selectivity and dimer formation

Epoxy FAs (EpFAs) are important lipid mediators that are mainly metabolized by soluble epoxide hydrolase (sEH). Thus, sEH inhibition is a promising therapeutic target to treat numerous ailments. Several sEH polymorphisms result in amino acid substitutions and alter enzyme activity. K55R and R287Q are associated with inflammatory, cardiovascular, and metabolic diseases. R287Q seems to affect sEH activity through reducing formation of a catalytically active dimer. Thus, understanding how these SNPs affect the selectivity of sEH for substrates and inhibitors is of potential clinical importance. We investigated the selectivity of four sEH SNPs toward a series of EpFAs and inhibitors. We found that the SNPs alter the catalytic activity of the enzyme but do not alter the relative substrate and inhibitor selectivity. We also determined their dimer/monomer constants (K(D/M)). The WT sEH formed a very tight dimer, with a K(D/M) in the low picomolar range. Only R287Q resulted in a large change of the K(D/M). However, human tissue concentrations of sEH suggest that it is always in its dimer form independently of the SNP. These results suggest that the different biologies associated with K55R and R287Q are not explained by alteration in dimer formation or substrate selectivity