LabAutomation


References 1 Luo, J,Wu,M,Gopukumar,D, Zhao,Y. Big Data Application in Biomedical Research and Health Care. Biomed. Inform. Insights 2016, 8, 1-10. 2Topol, E.High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine. 2019, 25, 44-56. 3 Jones,W,Alasoo, K, Fishman,D and Parts, L. Computational biology: deep learning, Emerging Topics in Life Sciences, 2017 1 257-274. 4 Smalley, E.AI powered drug discovery captures pharma interest.Nature Biotechnology 2017, 35, 7. 5 Pensak,DA,Corey, EJ. LHASA – Logic and Heuristics applied to Synthetic Analysis. Computer Assisted Organic Synthesis. 1977, 1, p. 1-32.American Chemical Society. 6 Schneider,N et al. Big Data from Pharmaceutical Patents:A computational of medicinal chemists’ bread and butter. J.Med. Chem. 2016, 59, 4385-4402. 7 https://www.cas.org/ products/scifinder- n/retrosynthesis-planning. 8Trice, SLJ,Grzybowski, BA et al. Efficient Syntheses of Diverse,Medicinally Relevant Targets planned by computer and executed in the laboratory.Chem 2018, 4, 522-532. 9 https://www.recursion pharma.com/approach/. 10 Steiner,Cronin et al.Organic Synthesis in a modular robotic system driven by a chemical programming language. Science 2019, 363, 6423. 11 Mullin, R. IBM ShiftsWatson from drug discovery to clinic.C&EN, vol. 97, issue 17,April 26, 2019. link. 12 Davies, IW.The digitization of organic synthesis.Nature 2019, 570, 176-181. 13 Sommer,C,Gerlich,DW.Machine Learning in cell biology – teaching computers to recognize phenotypes.Cell Science 2013, 126, 5529-5539. 14 Conrad,C,Gerlich,DW.Automated microscopy for high-content RNAi screening. J. Chem. Biol. 2010, 188, 453. 15 Coudray,N et al.Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning. Nature Medicine, 2018, 24, 1559-1567. 16Warchal, S,Dawson, JC,Carragher,NO. Evaluation of Machine Learning Classifiers to Predict Compound MoAWhenTransferred across Distinct Cell Lines. SLAS Discovery, 2019, 24, 224-233. 17 Zhavoronkov,A et al.Use of deep neural network ensembles to identify embryonic-fetal transition markers: repression of COX7A1 in embryonic and cancer cells.Oncotarget, 2018, 9, 7796-7811. 18 Chen,Y, Li,Y,Narayan, R, Subramanian,A,Xie, X.Gene expression interference with deep learning. Bioinformatics, 2016, 32, 1832-1839. 19 Broad Institute and Google Genomics: https://www.broad institute.org/google. 20 Hall, J et al.Design of a genome-wide siRNA library using an artificial neural network.Nature Biotech. 2005, 23, 995-1001.


Drug DiscoveryWorld Summer 2019


21 Giguere, S et al.Machine Learning Assisted Design of Highly Active Peptides for Drug Discovery. PLOS Comp Biol 2015, 11, e1004074. link. 22 Cimerancic, P et al.CryptoSite: Expanding the Druggable Proteome by Characterization and Prediction of Cryptic Binding Sites J.Mol. Bio. 2016, 428, 709-719. 23 Sastry,A,Monk, J,Tegel,H,Uhlen,M, Palsson, B, Rockberg, J, Brunk, E.Machine Learning in computational biology to accelerate high- throughput protein expression. Bioinformatics 2017, 16, 2487-2495. 24 Hemsoth,N.Deep Learning Hardware for the Next Big AI Framework.TheNextPlatform, Jan 18, 2019. link. 25 Using Deep Neural Network Acceleration for Image Analysis in Drug Discovery Intel News Room,May 23, 2018. 26 DePristo,M, Poplin, R.DeepVariant – Highly accurate genomes with deep neural networks. Google AI Blog, 2017, retrieved June 2019. 27 King, R,Whelen, K, Jones, F, Reiser, P, Bryant, C,Muggleton, S, Kell,D,Oliver, S. Functional genomic hypothesis generation and experimentation by a robot scientist.Nature 2004, 427, 247-252. 28 Caideo, J et al (2017).Data-analysis strategies for image-based cell profiling,Nature Methods, 14, 9, 849-862. 29 Miles, B, Lee, PL.Achieving Reproducibility and Closed-Loop Automation in Biological Experimentation with an IoT-Enabled Lab of the Future. SLASTech, 2018, 23, 432-439. 30 Austerjost, J, Porr,M, Riedel,N,Geier,D, Becker,T, Scheper,T,Marquard,D, Lindner, P, Beutel, S. Introducing aVirtual Assistant to the Lab: a voice-activated user interface for the intuitive control of laboratory instruments. SLASTech, 2018, 23, 476-482.


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