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Journal of Cheminformatics|October 19, 2021
Classifying natural products from plants, fungi or bacteria using the COCONUT database and machine learningAlice Capecchi, Jean-Louis ReymondBiomolecules|October 1, 2020
Assigning the Origin of Microbial Natural Products by Chemical Space Map and Machine LearningAlice Capecchi, Jean-Louis ReymondJournal of Chemical Information and Modeling|December 24, 2019
Populating Chemical Space with Peptides Using a Genetic AlgorithmAlice Capecchi, Alain Zhang, Jean-Louis ReymondJournal of Cheminformatics|January 12, 2021
One molecular fingerprint to rule them all: drugs, biomolecules, and the metabolomeAlice Capecchi, Daniel Probst, Jean-Louis ReymondAngewandte Chemie (International Ed. in English)|October 7, 2021
An Immunomodulatory Peptide Dendrimer Inspired from Glatiramer AcetateDina Erzina, Alice Capecchi, Sacha Javor, et al.Chemmedchem|July 26, 2022
Machine Learning Guided Discovery of Non-Hemolytic Membrane Disruptive Anticancer PeptidesElena Zakharova, Markus Orsi, Alice Capecchi, et al.Chemical Science|August 5, 2021
Machine learning designs non-hemolytic antimicrobial peptidesAlice Capecchi, Xingguang Cai, Hippolyte Personne, et al.Molecules (Basel, Switzerland)|May 20, 2015
Development and validation of a docking-based virtual screening platform for the identification of new lactate dehydrogenase inhibitorsCarlotta Granchi, Alice Capecchi, Gianluca Del Frate, et al.Cell Reports. Physical Science|January 12, 2023
An intrinsically disordered antimicrobial peptide dendrimer from stereorandomized virtual screeningXingguang Cai, Markus Orsi, Alice Capecchi, et al.Journal of Chromatography. A|December 28, 2020
Perspectives on protein biopolymers: miniaturized flow field-flow fractionation-assisted characterization of a single-cysteine mutated phaseolin expressed in transplastomic tobacco plantsValentina Marassi, Francesca De Marchis, Barbara Roda, et al.Pageof 2