20 research outputs found

    Concert recording 2018-02-20a

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    [Track 1]. Fünf Orchesterlieder nach Ansichtenkartentexten von Peter Altenberg, op. 4. I. Seele, wie bist du schöner... [Track 2]. II. Sahst du nach dem Gewitterregen [Track 3]. III. Über die Grenzen des All [Track 4]. IV. Nichts ist gekommen [Track 5]. V. Hier ist Friede / Alban Berg -- [Track 6]. Flowers of heaven. Three songs on Korean poetry for soprano and cello. I. The home village [Track 7]. II. Wildflowers of the mountain [Track 8]. III. Return to heaven / Robert Mueller -- [Track 9]. Buru for voice and chamber ensemble / Suhki Kang -- [Track 10]. Little sketches for soprano and flute / Ivan Elezovic -- [Track 11]. Labyrinth of love for soprano and small chamber ensemble. II. Eros (Sappho fragment 47) [Track 12]. VI. Liz\u27s lament [Track 13]. VIII. Short talk on the sensation of aeroplane takeoff / Michael Daugherty

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

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    : 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

    Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis

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    Genome-wide association studies (GWASs) have identified loci for erythrocyte traits in primarily European ancestry populations. We conducted GWAS meta-analyses of six erythrocyte traits in 71,638 individuals from European, East Asian, and African ancestries using a Bayesian approach to account for heterogeneity in allelic effects and variation in the structure of linkage disequilibrium between ethnicities. We identified seven loci for erythrocyte traits including a locus (RBPMS/GTF2E2) associated with mean corpuscular hemoglobin and mean corpuscular volume. Statistical fine-mapping at this locus pointed to RBPMS at this locus and excluded nearby GTF2E2. Using zebrafish morpholino to evaluate loss of function, we observed a strong in vivo erythropoietic effect for RBPMS but not for GTF2E2, supporting the statistical fine-mapping at this locus and demonstrating that RBPMS is a regulator of erythropoiesis. Our findings show the utility of trans-ethnic GWASs for discovery and characterization of genetic loci influencing hematologic traits
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