5 research outputs found

    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

    Proceedings of the 4th World Conference on Research Integrity

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    CITATION: O’Brien, S. P., et al. 2016. Proceedings of the 4th World Conference on Research Integrity. Research Integrity and Peer Review, 1:9, doi:10.1186/s41073-016-0012-9.The original publication is available at https://researchintegrityjournal.biomedcentral.comThese Proceedings contain the abstracts of the presentations given at the 4th World Conference in concurrent sessions, partner symposia, and poster sessions. Also included are summaries of the discussions in three focus tracks, which allowed delegates to consider and work on questions about the roles of funders, institutions, and countries in improving research systems and strengthening research integrity. Videos of the plenary presentations are available at the conference website (www.wcri2015.org).https://researchintegrityjournal.biomedcentral.com/articles/10.1186/s41073-016-0012-
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