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Raquel Rodríguez-Pérez

10PUBLICATIONS

12CO-AUTHORS

Deep learningBiomolecular modelling and designContext learningPharmacogenomicsProcess control and simulation

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Publications (10)

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|Jan 14, 2026

Uncertainty Quantification in Molecular Machine Learning for Property Predictions under Data Shifts.

Raquel Parrondo-Pizarro, Jessica Lanini, Raquel Rodríguez-Pérez

|Sep 11, 2025

Practically Significant Method Comparison Protocols for Machine Learning in Small Molecule Drug Discovery.

Jeremy R Ash, Cas Wognum, Raquel Rodríguez-Pérez

|Nov 14, 2024

UNIQUE: A Framework for Uncertainty Quantification Benchmarking.

Jessica Lanini, Minh Tam Davide Huynh, Gaetano Scebba

|Nov 06, 2024

DeepCt: Predicting Pharmacokinetic Concentration-Time Curves and Compartmental Models from Chemical Structure Using Deep Learning.

Maximilian Beckers, Dimitar Yonchev, Sandrine Desrayaud

|Jul 09, 2024

Application of machine learning models for property prediction to targeted protein degraders.

Giulia Peteani, Minh Tam Davide Huynh, Grégori Gerebtzoff

|Mar 19, 2024

Deep Learning Models Compared to Experimental Variability for the Prediction of CYP3A4 Time-Dependent Inhibition.

Andrin Fluetsch, Markus Trunzer, Grégori Gerebtzoff

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Frequent Collaborators

2 joint publications

Nadine Schneider

1 joint publications

Richard Lewis

1 joint publications

Mike Fortunato

1 joint publications

Minh Tam Davide Huynh

1 joint publications

Grégori Gerebtzoff

1 joint publications

Maximilian Beckers

1 joint publications

Cas Wognum

1 joint publications

Alan C Cheng

1 joint publications

Ola Engkvist

1 joint publications

Cheng Fang

Frequent Collaborators

2 joint publications

Nadine Schneider

1 joint publications

Richard Lewis

1 joint publications

Mike Fortunato

1 joint publications

Minh Tam Davide Huynh

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