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ORCIDAlexandros Patsilinakos
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Books and Theses
- 2020
[b1]Alexandros Patsilinakos:
Machine learning applications to essential oils and natural extracts. Sapienza University of Rome, Italy, 2020
Journal Articles
- 2024
- [j4]Giulia Cazzanelli, Andrea Dalle Vedove, Giovanni Spagnolli, Luca Terruzzi, Enrica Colasurdo, Alberto Boldrini, Alexandros Patsilinakos, Mattia Sturlese, Alessandro Grottesi, Emiliano Biasini, Alessandro Provenzani, Alessandro Quattrone, Graziano Lolli:
Pliability in the m6A-Binding Region Extends Druggability of YTH Domains. J. Chem. Inf. Model. 64(5): 1682-1690 (2024) - 2018
- [j3]Manuela Sabatino, Dante Rotili, Alexandros Patsilinakos
, Mariantonietta Forgione, Daniela Tomaselli, Fréderic Alby, Paola B. Arimondo, Antonello Mai, Rino Ragno:
Disruptor of telomeric silencing 1-like (DOT1L): disclosing a new class of non-nucleoside inhibitors by means of ligand-based and structure-based approaches. J. Comput. Aided Mol. Des. 32(3): 435-458 (2018) - 2017
- [j2]Milan Mladenovic, Alexandros Patsilinakos, Adele Pirolli, Manuela Sabatino, Rino Ragno:
Understanding the Molecular Determinant of Reversible Human Monoamine Oxidase B Inhibitors Containing 2H-Chromen-2-One Core: Structure-Based and Ligand-Based Derived Three-Dimensional Quantitative Structure-Activity Relationships Predictive Models. J. Chem. Inf. Model. 57(4): 787-814 (2017) - 2015
- [j1]Rino Ragno, Flavio Ballante, Adele Pirolli, Richard B. Wickersham III, Alexandros Patsilinakos, Stéphanie Hesse, Enrico Perspicace, Gilbert Kirsch:
Vascular endothelial growth factor receptor-2 (VEGFR-2) inhibitors: development and validation of predictive 3-D QSAR models through extensive ligand- and structure-based approaches. J. Comput. Aided Mol. Des. 29(8): 757-776 (2015)
Coauthor Index
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