OUR RESEARCH > Publications
Publications
From peer-reviewed articles to other publishing formats.
Dive into the findings of our research!
Our team is committed to pushing the boundaries of scientific understanding and advancement, reflected by the comprehensive collection of our scientific publications you will find here. From original research in peer-reviewed journals to other publishing formats. Many are available for direct download, while others can be easily requested.
Dive into our contributions and discover the impact of our research.
Original articles
2 Discovery of (3-Phenylcarbamoyl-3,4-dihydro-2 H-pyrrol-2-yl)phosphonates as Imidazoline I2 Receptor Ligands with Anti-Alzheimer and Analgesic Properties. J Med Chem.
Andrea Bagán, Alba López-Ruiz, Sònia Abás, M Carmen Ruiz-Cantero, Foteini Vasilopoulou, Teresa Taboada-Jara, Christian Griñán-Ferré, Mercè Pallàs, Carolina Muguruza , Rebeca Diez-Alarcia, Luis F Callado, José M Entrena, Enrique J Cobos, Belén Pérez, José A Morales-García, Elies Molins, Steven De Jonghe, Dirk Daelemans, José Brea, Cristina Val , M Isabel Loza, Elena Hernández-Hernández, Jesús A García-Sevilla, M Julia García-Fuster, Caridad Díaz, Rosario Fernández-Godino, Olga Genilloud, Milan Beljkaš, Slavica Oljačić, Katarina Nikolic, Carmen Escolano. 2 Discovery of (3-Phenylcarbamoyl-3,4-dihydro-2 H-pyrrol-2-yl)phosphonates as Imidazoline I2 Receptor Ligands with Anti-Alzheimer and Analgesic Properties. J Med Chem. . 2025 Jan 17. doi: 10.1021/acs.jmedchem.4c01644. Online ahead of print.
Rapid traversal of vast chemical space using machine learning-guided docking screens. Nature computational science.
Andreas Luttens, Israel cabeza de Vaca, Leonard Sparring, José Brea, Antón Leandro Martínez, Nour Aldin Kahlous, Dmyro S Radchenko, Yurii S Moroz, María Isabel Loza, Ulf Norinder, Jens Carlsson Rapid traversal of vast chemical space using machine learning-guided docking screens. Nature computational science. 2025 Apr;5(4):301-312. doi.org/10.1038/s43588-025-00777-x
Morphological profiling data resource enables prediction of chemical compound properties. iScience.
Wolff C, Neuenschwander M, Beese CJ, Sitani D, Ramos MC, Srovnalova A, Varela MJ, Polishchuk P, Skopelitou KE, Škuta C, Stechmann B, Brea J, Clausen MH, Dzubak P, Fernández-Godino R, Genilloud O, Hajduch M, Loza MI, Lehmann M, Peter von Kries J, Sun H, Schmied C Morphological profiling data resource enables prediction of chemical compound properties. iScience. 2025 Apr 16;28(5):112445