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Expert Opinion on Drug Discovery Volume 11, 2016 - Issue 12
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Editorial

Should network biology be used for drug discovery?

Francisco Martínez-JiménezCNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain;Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona, Spain;Universitat Pompeu Fabra (UPF), Barcelona, SpainCorrespondence[email protected]
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Marc A. Marti-RenomCNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain;Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), Barcelona, Spain;Universitat Pompeu Fabra (UPF), Barcelona, Spain;ICREA, Pg. Lluís Companys, Barcelona, SpainView further author information
Pages 1135-1137 | Received 12 Jul 2016, Accepted 12 Sep 2016, Published online: 23 Sep 2016

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Marja Talikka, Natalia Bukharov, William S. Hayes, Martin Hofmann-Apitius, Leonidas Alexopoulos, Manuel C. Peitsch & Julia Hoeng. (2017) Novel approaches to develop community-built biological network models for potential drug discovery. Expert Opinion on Drug Discovery 12:8, pages 849-857.
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Articles from other publishers (2)

Mostafa Karimi, Arman Hasanzadeh & Yang Shen. (2020) Network-principled deep generative models for designing drug combinations as graph sets. Bioinformatics 36:Supplement_1, pages i445-i454.
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Wee Loong Chin, Rachael M. Zemek, W. Joost Lesterhuis & Timo Lassmann. (2019) Functional genomics in cancer immunotherapy: computational approaches for biomarker and drug discovery. Molecular Systems Design & Engineering 4:4, pages 689-700.
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