Angela Lopez del Rio
Bio
Hi! I am a biomedical engineer (BSc from the Technical University of Madrid and MSc from the University of Barcelona/Polytechnic University of Catalonia). I did my PhD, advised by Dr. Alexandre Perera Lluna, at the B2SLab between 2017-2021.
It focused on ways to ensure the quality and reliability of deep learning models used to predict how proteins and compounds interact in the early stages of drug discovery.
During my PhD, I collaborated with the start-up Mind the Byte and did a research stay at Uniprot, in the European Bioinformatics Institute (EMBL) in Cambridge, UK. Since 2020, I have been working as a Data Scientist at the pharma company Boehringer Ingelheim, first in R&D in Biberach (Germany) and now back in Barcelona, in the Business Operations department.
PhD Thesis
You can access my PhD thesis Data preprocessing and quality diagnosis in deep learning-based in silico bioactivity prediction here.
Publications
You can also check my journal papers, also available through Google Scholar
2024
1. Sub-visible particle classification and label consistency analysis for flow-imaging microscopy via machine learning methods
A Lopez-del Rio, A Pacios-Michelena, S Picart-Armada, P Garidel, …
Journal of Pharmaceutical Sciences, Vol. 113 (4), 880-890, Issue (2024)
[DOI]
2021
2. Balancing data on deep learning-based proteochemometric activity classification
A Lopez-del Rio, S Picart-Armada, A Perera-Lluna
Journal of chemical information and modeling, Vol. 61 (4), 1657-1669, Issue (2021)
[DOI]
3. Data preprocessing and quality diagnosis in deep learning-based in silico bioactivity prediction
Á López del Río
Universitat Politècnica de Catalunya, Vol. , Issue (2021)
[DOI]
4. Balancing data on proteochemometrics activity classification
A Lopez-del Rio, S Picart, A Perera-Lluna
**, Vol. , Issue (2021)
[DOI]
2020
5. Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction
A Lopez-del Rio, M Martin, A Perera-Lluna, R Saidi
Scientific reports, Vol. 10 (1), 14634, Issue (2020)
[DOI]
2019
6. Evaluation of cross-validation strategies in sequence-based binding prediction using deep learning
A Lopez-del Rio, A Nonell-Canals, D Vidal, A Perera-Lluna
Journal of chemical information and modeling, Vol. 59 (4), 1645-1657, Issue (2019)
[DOI]
2017
7. Machine-Learning QSAR Model for Predicting Activity against Malaria Parasite’s Ion Pump PfATP4 and In Silico Binding Assay Validation
A Lopez Del Rio, L Llorach Parés, A Perera Lluna, C Avila, …
MDPI Proceedings, Vol. 2017, vol. 1, num. 16, p. 652, Issue (2017)
[DOI]
2016
8. Desarrollo de una plataforma web para el acceso interactivo a una base de datos SQL con información biológica de competiciones deportivas
Á López del Río, MÁ Maqueda González, E Roca Rodríguez, …
XXXIV Congreso Anual de la Sociedad Española de ingeniería Biomédica: CASEIB …, Vol. , Issue (2016)
[DOI]
Unknown Year
9. Effect of Sequence Padding on the Performance of Protein-Based Deep Learning Models
A Lopez-del Rio, M Martin, A Perera-Lluna, R Saidi
**, Vol. , Issue (Unknown)
[DOI]
Social Networks
You can contact me on LinkedIn