Open Science and Software Assistance: Commentary on “Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opene...

por Ballester, Pedro L
Publicado 2023

Machine Learning for Molecular Modelling in Drug Design

por Ballester, Pedro J.
Publicado 2019

Artificial intelligence for the next generation of precision oncology

por Ballester, Pedro J., Carmona, Javier
Publicado 2021

On the Best Way to Cluster NCI-60 Molecules

por Hernández-Hernández, Saiveth, Ballester, Pedro J.
Publicado 2023

Beware of Simple Methods for Structure-Based Virtual Screening: The Critical Importance of Broader Comparisons

por Tran-Nguyen, Viet-Khoa, Ballester, Pedro J.
Publicado 2023

Performance of machine-learning scoring functions in structure-based virtual screening

por Wójcikowski, Maciej, Ballester, Pedro J., Siedlecki, Pawel
Publicado 2017

Predicting the Reliability of Drug-target Interaction Predictions with Maximum Coverage of Target Space

por Peón, Antonio, Naulaerts, Stefan, Ballester, Pedro J.
Publicado 2017

Paclitaxel Response Can Be Predicted With Interpretable Multi-Variate Classifiers Exploiting DNA-Methylation and miRNA Data

por Bomane, Alexandra, Gonçalves, Anthony, Ballester, Pedro J.
Publicado 2019

Editorial: Intelligent Systems for Genome Functional Annotations

por Ahmad, Shandar, Ballester, Pedro J., Fernandez, Michael
Publicado 2020

Identification and Validation of Carbonic Anhydrase II as the First Target of the Anti-Inflammatory Drug Actarit

por Ghislat, Ghita, Rahman, Taufiq, Ballester, Pedro J.
Publicado 2020

Does a More Precise Chemical Description of Protein–Ligand Complexes Lead to More Accurate Prediction of Binding Affinity?

por Ballester, Pedro J., Schreyer, Adrian, Blundell, Tom L.
Publicado 2014

How Reliable Are Ligand-Centric Methods for Target Fishing?

por Peón, Antonio, Dang, Cuong C., Ballester, Pedro J.
Publicado 2016

Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data

por Nguyen, Linh, Dang, Cuong C, Ballester, Pedro J.
Publicado 2017

Precision and recall oncology: combining multiple gene mutations for improved identification of drug-sensitive tumours

por Naulaerts, Stefan, Dang, Cuong C., Ballester, Pedro J.
Publicado 2017

Unearthing new genomic markers of drug response by improved measurement of discriminative power

por Dang, Cuong C., Peón, Antonio, Ballester, Pedro J.
Publicado 2018

Concise Polygenic Models for Cancer-Specific Identification of Drug-Sensitive Tumors from Their Multi-Omics Profiles

por Naulaerts, Stefan, Menden, Michael P., Ballester, Pedro J.
Publicado 2020

Biochemical evaluation of virtual screening methods reveals a cell-active inhibitor of the cancer-promoting phosphatases of regenerating liver

por Hoeger, Birgit, Diether, Maren, Ballester, Pedro J., Köhn, Maja
Publicado 2014

USR-VS: a web server for large-scale prospective virtual screening using ultrafast shape recognition techniques

por Li, Hongjian, Leung, Kwong-S., Wong, Man-H., Ballester, Pedro J.
Publicado 2016

istar: A Web Platform for Large-Scale Protein-Ligand Docking

por Li, Hongjian, Leung, Kwong-Sak, Ballester, Pedro J., Wong, Man-Hon
Publicado 2014

Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study

por Li, Hongjian, Leung, Kwong-Sak, Wong, Man-Hon, Ballester, Pedro J
Publicado 2014