Capecchi, Alice

Up a level
Export as [feed] RSS
Group by: Item Type | No Grouping
Number of items: 16.

Journal Article

Cai, Xingguang; Capecchi, Alice; Olcay, Başak; Orsi, Markus; Javor, Sacha; Reymond, Jean-Louis (2023). Exploring the Sequence Space of Antimicrobial Peptide Dendrimers. Israel journal of chemistry, 63(10-11) Wiley-VCH 10.1002/ijch.202300096

Cai, Xingguang; Orsi, Markus; Capecchi, Alice; Köhler, Thilo; van Delden, Christian; Javor, Sacha; Reymond, Jean-Louis (2022). An intrinsically disordered antimicrobial peptide dendrimer from stereorandomized virtual screening. Cell reports. Physical science, 3(12), pp. 1-15. Cell Press 10.1016/j.xcrp.2022.101161

Morstein, Johannes; Capecchi, Alice; Hinnah, Konstantin; Park, ByungUk; Petit-Jacques, Jerome; Van Lehn, Reid C; Reymond, Jean-Louis; Trauner, Dirk (2022). Medium-Chain Lipid Conjugation Facilitates Cell-Permeability and Bioactivity. Journal of the American Chemical Society, 144(40), pp. 18532-18544. American Chemical Society 10.1021/jacs.2c07833

Zakharova, Elena; Orsi, Markus; Capecchi, Alice; Reymond, Jean-Louis (2022). Machine Learning Guided Discovery of Non-Hemolytic Membrane Disruptive Anti-Cancer Peptides. ChemMedChem, 17(17), e202200291. Wiley-VCH 10.1002/cmdc.202200291

Capecchi, Alice; Reymond, Jean-Louis (2021). Classifying natural products from plants, fungi or bacteria using the COCONUT database and machine learning. Journal of cheminformatics, 13(82), p. 1069. Springer 10.1186/s13321-021-00559-3

Erzina, Dina; Capecchi, Alice; Javor, Sacha; Reymond, Jean-Louis (2021). An Immunomodulatory Peptide Dendrimer Inspired from Glatiramer Acetate. Angewandte Chemie International Edition, 60(50), pp. 26403-26408. Wiley 10.1002/anie.202113562

Capecchi, Alice; Cai, Xingguang; Personne, Hippolyte; Köhler, Thilo; van Delden, Christian; Reymond, Jean-Louis (2021). Machine learning designs non-hemolytic antimicrobial peptides. Chemical Science, 12(26), pp. 9221-9232. The Royal Society of Chemistry 10.1039/D1SC01713F

Capecchi, Alice; Reymond, Jean-Louis (2021). Peptides in chemical space. Medicine in drug discovery, 9, p. 100081. Elsevier 10.1016/j.medidd.2021.100081

Capecchi, Alice; Reymond, Jean-Louis (2020). Assigning the Origin of Microbial Natural Products by Chemical Space Map and Machine Learning. Biomolecules, 10(10), p. 1385. MDPI 10.3390/biom10101385

Capecchi, Alice; Probst, Daniel; Reymond, Jean-Louis (2020). One molecular fingerprint to rule them all: drugs, biomolecules, and the metabolome. Journal of cheminformatics, 12(1) Springer 10.1186/s13321-020-00445-4

Capecchi, Alice; Zhang, Alain; Reymond, Jean-Louis (2020). Populating Chemical Space with Peptides Using a Genetic Algorithm. Journal of chemical information and modeling, 60(1), pp. 121-132. American Chemical Society 10.1021/acs.jcim.9b01014

Capecchi, Alice; Awale, Mahendra; Probst, Daniel; Reymond, Jean-Louis (2019). PubChem and ChEMBL beyond Lipinski. Molecular informatics, 38(5), p. 1900016. Wiley 10.1002/minf.201900016

Siriwardena, Thissa N.; Capecchi, Alice; Gan, Bee-Ha; Jin, Xian; He, Runze; Wei, Dengwen; Ma, Lan; Köhler, Thilo; van Delden, Christian; Javor, Sacha; Reymond, Jean-Louis (2018). Optimizing Antimicrobial Peptide Dendrimers in Chemical Space. Angewandte Chemie (International ed.), 57(28), pp. 8483-8487. Wiley-VCH 10.1002/anie.201802837

Di Bonaventura, Ivan; Baeriswyl, Stéphane; Capecchi, Alice; Gan, Bee-Ha; Jin, Xian; Siriwardena, Thissa N.; He, Runze; Köhler, Thilo; Pompilio, Arianna; Di Bonaventura, Giovanni; van Delden, Christian; Javor, Sacha; Reymond, Jean-Louis (2018). An antimicrobial bicyclic peptide from chemical space against multidrug resistant Gram-negative bacteria. Chemical communications, 54(40), pp. 5130-5133. Royal Society of Chemistry 10.1039/C8CC02412J

Conference or Workshop Item

Capecchi, Alice; Reymond, Jean-Louis (2019). Peptide chemical space (Unpublished). In: SCS fall meeting 2019.

Capecchi, Alice; Awale, Mahendra; Probst, Daniel; Reymond, Jean-Louis (2018). Beyond Lipinski – an analysis of the PubChem chemical space (Unpublished). In: Summer School on Machine Learning in Drug Design. Leuven, Belgium. Monday, August 20, 2018 - to Wednesday, August 22, 2018.

This list was generated on Mon Dec 30 18:51:39 2024 CET.
Provide Feedback