Nadine Schneider - Publications
Affiliations: | 2015-2016 | Cheminformatics | Novartis Institutes for BioMedical Research, Cambridge, MA, United States |
Year | Citation | Score | |||
---|---|---|---|---|---|
2021 | Esposito C, Landrum GA, Schneider N, Stiefl N, Riniker S. GHOST: Adjusting the Decision Threshold to Handle Imbalanced Data in Machine Learning. Journal of Chemical Information and Modeling. PMID 34100609 DOI: 10.1021/acs.jcim.1c00160 | 0.523 | |||
2016 | Schneider N, Stiefl N, Landrum GA. What's What: The (Nearly) Definitive Guide to Reaction Role Assignment. Journal of Chemical Information and Modeling. 56: 2336-2346. PMID 28024398 DOI: 10.1021/acs.jcim.6b00564 | 0.576 | |||
2016 | Schneider N, Lowe DM, Sayle RA, Tarselli MA, Landrum GA. Big Data from Pharmaceutical Patents: A Computational Analysis of Medicinal Chemists' Bread and Butter. Journal of Medicinal Chemistry. PMID 27028220 DOI: 10.1021/Acs.Jmedchem.6B00153 | 0.59 | |||
2015 | Schneider N, Sayle RA, Landrum GA. Get Your Atoms in Order-An Open-Source Implementation of a Novel and Robust Molecular Canonicalization Algorithm. Journal of Chemical Information and Modeling. 55: 2111-20. PMID 26441310 DOI: 10.1021/acs.jcim.5b00543 | 0.555 | |||
2015 | Schneider N, Lowe DM, Sayle RA, Landrum GA. Corrections to "development of a novel fingerprint for chemical reactions and its application to large-scale reaction classification and similarity". Journal of Chemical Information and Modeling. 55: 474. PMID 25647286 DOI: 10.1021/acs.jcim.5b00046 | 0.705 | |||
2015 | Schneider N, Lowe DM, Sayle RA, Landrum GA. Development of a novel fingerprint for chemical reactions and its application to large-scale reaction classification and similarity. Journal of Chemical Information and Modeling. 55: 39-53. PMID 25541888 DOI: 10.1021/ci5006614 | 0.701 | |||
2015 | Schneider N, Lowe DM, Sayle RA, Landrum GA. Development of a novel fingerprint for chemical reactions and its application to large-scale reaction classification and similarity Journal of Chemical Information and Modeling. 55: 39-53. DOI: 10.1021/ci5006614 | 0.706 | |||
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