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Expert Opinion on Drug Discovery Volume 17, 2022 - Issue 7
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Review

Approaches for enhancing the analysis of chemical space for drug discovery

Fernanda I. Saldívar-GonzálezDIFACQUIM Research Group, Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México, Mexico City, MexicoORCID Iconhttps://orcid.org/0000-0002-0435-8662View further author information
ORCID Icon &
José L. Medina-FrancoDIFACQUIM Research Group, Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México, Mexico City, MexicoCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4940-1107View further author information
ORCID Icon
Pages 789-798 | Received 20 Jan 2022, Accepted 28 May 2022, Published online: 05 Jun 2022

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Irini Furxhi, Michal Kalapus, Anna Costa & Tomasz Puzyn. (2023) Artificial augmented dataset for the enhancement of nano-QSARs models. A methodology based on topological projections. Nanotoxicology 17:6-7, pages 529-544.
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Articles from other publishers (3)

Ramon Carbó-Dorca. (2023) Quantum similarity and QSPR in Euclidean-, and Minkowskian–Banach spaces. Journal of Mathematical Chemistry 61:5, pages 1016-1035.
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Edgar López-López & José L. Medina-Franco. (2023) Towards Decoding Hepatotoxicity of Approved Drugs through Navigation of Multiverse and Consensus Chemical Spaces. Biomolecules 13:1, pages 176.
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José L. Medina‐Franco, Ana L. Chávez‐Hernández, Edgar López‐López & Fernanda I. Saldívar‐González. (2022) Chemical Multiverse: An Expanded View of Chemical Space. Molecular Informatics 41:11, pages 2200116.
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