Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Article
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Omicron Variant (B.1.1.529): Infectivity, Vaccine Breakthrough, and Antibody ResistanceJournal of chemical information and modeling, 2022-01, Vol.62 (2), p.412 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/acs.jcim.1c01451 ;PMID: 34989238Digital Resources/Online E-Resources |
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2 |
Material Type: Article
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GuacaMol: Benchmarking Models for de Novo Molecular DesignJournal of chemical information and modeling, 2019-03, Vol.59 (3), p.1096 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/acs.jcim.8b00839 ;PMID: 30887799Digital Resources/Online E-Resources |
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3 |
Material Type: Conference Proceeding
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CSI-FiSh: Efficient Isogeny Based Signatures Through Class Group ComputationsAdvances in Cryptology – ASIACRYPT 2019, p.227-247 [Peer Reviewed Journal]International Association for Cryptologic Research 2019 ;ISSN: 0302-9743 ;ISBN: 9783030345778 ;ISBN: 3030345777 ;EISSN: 1611-3349 ;EISBN: 3030345785 ;EISBN: 9783030345785 ;DOI: 10.1007/978-3-030-34578-5_9Digital Resources/Online E-Resources |
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4 |
Material Type: Article
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g_mmpbsa--a GROMACS tool for high-throughput MM-PBSA calculationsJournal of chemical information and modeling, 2014-07, Vol.54 (7), p.1951 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/ci500020m ;PMID: 24850022Digital Resources/Online E-Resources |
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5 |
Material Type: Article
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Reinforcement learning for neural architecture search: A reviewImage and vision computing, 2019-09, Vol.89, p.57-66 [Peer Reviewed Journal]Attribution - NonCommercial ;ISSN: 0262-8856 ;EISSN: 1872-8138 ;DOI: 10.1016/j.imavis.2019.06.005Digital Resources/Online E-Resources |
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6 |
Material Type: Article
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admetSAR: a comprehensive source and free tool for assessment of chemical ADMET propertiesJournal of chemical information and modeling, 2012-11, Vol.52 (11), p.3099 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/ci300367a ;PMID: 23092397Digital Resources/Online E-Resources |
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7 |
Material Type: Article
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Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like moleculesJournal of chemical information and modeling, 2013-07, Vol.53 (7), p.1563 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/ci400187y ;PMID: 23795551Digital Resources/Online E-Resources |
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8 |
Material Type: Article
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TRAVIS - a free analyzer and visualizer for Monte Carlo and molecular dynamics trajectoriesJournal of chemical information and modeling, 2011-08, Vol.51 (8), p.2007 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/ci200217w ;PMID: 21761915Digital Resources/Online E-Resources |
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9 |
Material Type: Article
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Autodock Vina Adopts More Accurate Binding Poses but Autodock4 Forms Better Binding AffinityJournal of chemical information and modeling, 2020-01, Vol.60 (1), p.204 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/acs.jcim.9b00778 ;PMID: 31887035Digital Resources/Online E-Resources |
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10 |
Material Type: Book
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Statistical Field Theory for Neural NetworksThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 ;ISSN: 0075-8450 ;ISBN: 9783030464448 ;ISBN: 303046444X ;ISBN: 3030464431 ;ISBN: 9783030464431 ;EISSN: 1616-6361 ;EISBN: 9783030464448 ;EISBN: 303046444X ;DOI: 10.1007/978-3-030-46444-8 ;OCLC: 1195455748Digital Resources/Online E-Resources |
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11 |
Material Type: Conference Proceeding
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Quantum Attacks Without Superposition Queries: The Offline Simon’s AlgorithmAdvances in Cryptology – ASIACRYPT 2019, Vol.11921, p.552-583 [Peer Reviewed Journal]International Association for Cryptologic Research 2019 ;Attribution ;ISSN: 0302-9743 ;ISBN: 9783030345778 ;ISBN: 3030345777 ;EISSN: 1611-3349 ;EISBN: 3030345785 ;EISBN: 9783030345785 ;DOI: 10.1007/978-3-030-34578-5_20Digital Resources/Online E-Resources |
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12 |
Material Type: Article
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Convolutional Embedding of Attributed Molecular Graphs for Physical Property PredictionJournal of chemical information and modeling, 2017-08, Vol.57 (8), p.1757 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/acs.jcim.6b00601 ;PMID: 28696688Digital Resources/Online E-Resources |
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13 |
Material Type: Article
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Comparative studies on some metrics for external validation of QSPR modelsJournal of chemical information and modeling, 2012-02, Vol.52 (2), p.396 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/ci200520g ;PMID: 22201416Digital Resources/Online E-Resources |
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14 |
Material Type: Article
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Deep neural nets as a method for quantitative structure-activity relationshipsJournal of chemical information and modeling, 2015-02, Vol.55 (2), p.263 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/ci500747n ;PMID: 25635324Digital Resources/Online E-Resources |
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15 |
Material Type: Article
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Understanding predictive information criteria for Bayesian modelsStatistics and computing, 2014-11, Vol.24 (6), p.997-1016 [Peer Reviewed Journal]Springer Science+Business Media New York 2013 ;ISSN: 0960-3174 ;EISSN: 1573-1375 ;DOI: 10.1007/s11222-013-9416-2Full text available |
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16 |
Material Type: Article
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Extreme Gradient Boosting as a Method for Quantitative Structure-Activity RelationshipsJournal of chemical information and modeling, 2016-12, Vol.56 (12), p.2353 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/acs.jcim.6b00591 ;PMID: 27958738Digital Resources/Online E-Resources |
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17 |
Material Type: Article
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SCScore: Synthetic Complexity Learned from a Reaction CorpusJournal of chemical information and modeling, 2018-02, Vol.58 (2), p.252 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/acs.jcim.7b00622 ;PMID: 29309147Digital Resources/Online E-Resources |
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18 |
Material Type: Book
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A Survey on 3D Cameras: Metrological Comparison of Time-of-Flight, Structured-Light and Active Stereoscopy TechnologiesThe Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature 2018 ;ISSN: 2191-5768 ;ISBN: 3319917609 ;ISBN: 9783319917603 ;EISSN: 2191-5776 ;EISBN: 3319917617 ;EISBN: 9783319917610 ;DOI: 10.1007/978-3-319-91761-0Digital Resources/Online E-Resources |
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19 |
Material Type: Article
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BioBERT: a pre-trained biomedical language representation model for biomedical text miningBioinformatics, 2020-02, Vol.36 (4), p.1234-1240 [Peer Reviewed Journal]The Author(s) 2019. Published by Oxford University Press. 2019 ;The Author(s) 2019. Published by Oxford University Press. ;ISSN: 1367-4803 ;EISSN: 1460-2059 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btz682 ;PMID: 31501885Full text available |
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20 |
Material Type: Article
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Predicting Retrosynthetic Reactions Using Self-Corrected Transformer Neural NetworksJournal of chemical information and modeling, 2020-01, Vol.60 (1), p.47 [Peer Reviewed Journal]EISSN: 1549-960X ;DOI: 10.1021/acs.jcim.9b00949 ;PMID: 31825611Digital Resources/Online E-Resources |