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Mathematical modeling for novel cancer drug discovery and development

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Marzio Pennisi, Giulia Russo, Valentina Di Salvatore, Saverio Candido, Massimo Libra & Francesco Pappalardo. (2016) Computational modeling in melanoma for novel drug discovery. Expert Opinion on Drug Discovery 11:6, pages 609-621.
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Marie-Agnès Doucey & Ioannis Xenarios. (2015) Toward a rational design of combination therapy in cancer. OncoImmunology 4:11.
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Marcus Baaz, Tim Cardilin, Floriane Lignet, Astrid Zimmermann, Samer El Bawab, Johan Gabrielsson & Mats Jirstrand. (2023) Model-based assessment of combination therapies – ranking of radiosensitizing agents in oncology. BMC Cancer 23:1.
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Stuart Maudsley, Hanne Leysen, Jaana van Gastel & Bronwen Martin. 2022. Comprehensive Pharmacology. Comprehensive Pharmacology 725 769 .
E. M. Tosca, N. Terranova, K. Stuyckens, A. G. Dosne, T. Perera, J. Vialard, P. King, T. Verhulst, J. J. Perez-Ruixo, P. Magni & I. Poggesi. (2021) A translational model-based approach to inform the choice of the dose in phase 1 oncology trials: the case study of erdafitinib. Cancer Chemotherapy and Pharmacology 89:1, pages 117-128.
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Hermann B. Frieboes, Shreya Raghavan & Biana Godin. (2020) Modeling of Nanotherapy Response as a Function of the Tumor Microenvironment: Focus on Liver Metastasis. Frontiers in Bioengineering and Biotechnology 8.
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Chen Wang, Pan Xu, Luyu Zhang, Jing Huang, Kongkai Zhu & Cheng Luo. (2018) Current Strategies and Applications for Precision Drug Design. Frontiers in Pharmacology 9.
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Bogantes-Vidal M.A.Mora-Rodriguez R.A.Aeon M.S.. (2018) In-Silico Modeling for the Identification of Regulatory Microrna Targets in Epithelial Mesenchymal Transition. In-Silico Modeling for the Identification of Regulatory Microrna Targets in Epithelial Mesenchymal Transition.
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Jocelyn Gal, Gérard Milano, Jean-Marc Ferrero, Esma Saâda-Bouzid, Julien Viotti, Sylvie Chabaud, Paul Gougis, Christophe Le Tourneau, Renaud Schiappa, Agnes Paquet & Emmanuel Chamorey. (2017) Optimizing drug development in oncology by clinical trial simulation: Why and how?. Briefings in Bioinformatics.
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Turki Turki, Zhi Wei & Jason T. L. Wang. (2017) Transfer Learning Approaches to Improve Drug Sensitivity Prediction in Multiple Myeloma Patients. IEEE Access 5, pages 7381-7393.
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J Romero-Durán, Edgar Lopez-Castro, Xerardo García-Mera & Humberto Gonzalez-Díaz. 2016. Biopolymers for Medical Applications. Biopolymers for Medical Applications 269 299 .
Turki Turki & Zhi Wei. (2016) Learning approaches to improve prediction of drug sensitivity in breast cancer patients. Learning approaches to improve prediction of drug sensitivity in breast cancer patients.
Francisco J. Romero-Durán, Nerea Alonso, Matilde Yañez, Olga Caamaño, Xerardo García-Mera & Humberto González-Díaz. (2016) Brain-inspired cheminformatics of drug-target brain interactome, synthesis, and assay of TVP1022 derivatives. Neuropharmacology 103, pages 270-278.
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Daniel M. Trifiletti & Timothy N. Showalter. (2015) Big Data and Comparative Effectiveness Research in Radiation Oncology: Synergy and Accelerated Discovery. Frontiers in Oncology 5.
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Alex Kiselyov, Svetlana Bunimovich-Mendrazitsky & Vladimir Startsev. (2015) Treatment of non-muscle invasive bladder cancer with Bacillus Calmette–Guerin (BCG): Biological markers and simulation studies. BBA Clinical 4, pages 27-34.
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I Mourouzis & C Pantos. (2015) The Biomedical Data Journal in the New Era of Open Access to Scientific Information. Biomedical Data Journal 01:1, pages 5-10.
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