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José Jiménez-Luna (José Jiménez)

ORCID

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 10

Top Venues

Journal of chemical information and modeling

Physical chemistry chemical physics : PCCP

Expert opinion on drug discovery

Chemical science

University of California Los Angeles Institute for Pure and Applied Mathematics

Universitat Pompeu Fabra (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of California Los Angeles Institute for Pure and Applied Mathematics

United States

Visiting researcher

Education History

Universitat Pompeu Fabra

Spain

PHD :: Computational Biophysics Group

Publications

Oh-Hyeon Choung, Riccardo Vianello, Marwin Segler, Nikolaus Stiefl, José Jiménez-Luna
Extracting medicinal chemistry intuition via preference machine learning. Nature communications 14 (1) (2023)
Clemens Isert, Kenneth Atz, José Jiménez-Luna, Gisbert Schneider
QMugs, quantum mechanical properties of drug-like molecules. Scientific data 9 (1) (2022)
José Jiménez-Luna, Miha Skalic, Nils Weskamp
Benchmarking Molecular Feature Attribution Methods with Activity Cliffs. Journal of chemical information and modeling 62 (2) (2022)
Kenneth Atz, Clemens Isert, Markus N A Böcker, José Jiménez-Luna, Gisbert Schneider
Δ-Quantum machine-learning for medicinal chemistry. Physical chemistry chemical physics : PCCP 24 (18) (2022)
José Jiménez-Luna, Miha Skalic, Nils Weskamp, Gisbert Schneider
Coloring Molecules with Explainable Artificial Intelligence for Preclinical Relevance Assessment. Journal of chemical information and modeling 61 (3) (2021)
José Jiménez-Luna, Francesca Grisoni, Nils Weskamp, Gisbert Schneider
Artificial intelligence in drug discovery: recent advances and future perspectives. Expert opinion on drug discovery 16 (9) (2021)
Miha Škalič, José Jiménez-Luna, Davide Sabbadin, Gianni De Fabritiis
Shape-Based Generative Modeling for de Novo Drug Design. Journal of chemical information and modeling 59 (3) (2019)
José Jiménez-Luna, Laura Perez Benito, Gerard Martínez-Rosell, Simone Sciabola, Rubben Torella, Gary Tresadern, Gianni De Fabritiis
DeltaDelta neural networks for lead optimization of small molecule potency. Chemical science 10 (47) (2019)
José Jiménez-Luna, Davide Sabbadin, Alberto Cuzzolin, Gerard Martínez-Rosell, Jacob Gora, John Manchester, José Duca, Gianni De Fabritiis
PathwayMap: Molecular Pathway Association with Self-Normalizing Neural Networks. Journal of chemical information and modeling 59 (3) (2019)
José Jiménez-Luna, Miha Škalič, Gerard Martínez-Rosell, Gianni De Fabritiis
KDEEP: Protein-Ligand Absolute Binding Affinity Prediction via 3D-Convolutional Neural Networks. Journal of chemical information and modeling 58 (2) (2018)

José Jiménez-Luna.css-eqlu8i{font-size:small;padding-left:4px;} (José Jiménez)

Publication Activity (10 Years)

Top Topics

Top Venues

José Jiménez-Luna (José Jiménez)