Delora Baptista

Instituto Gulbenkian de Ciência — Portugal

Computer Science · Physical Sciences

5h-index690citations19works4.72yr avg
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Research Topics

Computational Drug Discovery Methods(9), Bioinformatics and Genomic Networks(6), Machine Learning in Materials Science(5), Advanced Proteomics Techniques and Applications(4), Advanced biosensing and bioanalysis techniques(3)

Publications19 total

AlphaFold models of host-pathogen interactions elucidate the prevalence and structural modes of molecular mimicry
2025· 4 citedOpen Access
A tissue-specific atlas of protein–protein associations enables prioritization of candidate disease genes
Nature Biotechnology·2025· 14 citedOpen Access
Multi-tissue characterization of the constitutive heterochromatin proteome in Drosophila identifies a link between satellite DNA organization and transposon repression
PLoS Biology·2025· 1 citedOpen Access
Author Reply to Peer Reviews of Multi-tissue proteomics identifies a link between satellite DNA organization and heritable transposon repression in Drosophila
2024
An atlas of protein-protein associations of human tissues prioritizes candidate disease genes
2024· 5 citedOpen Access
Integrating Large-Scale Protein Structure Prediction into Human Genetics Research
Annual Review of Genomics and Human Genetics·2024· 4 citedOpen Access
Multi-tissue proteomics identifies a link between satellite DNA organization and heritable transposon repression in <i>Drosophila</i>
2023Open Access
A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer
PLoS Computational Biology·2023· 28 citedOpen Access
Evaluating molecular representations in machine learning models for drug response prediction and interpretability
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics·2022· 39 citedOpen Access
A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer
2022· 1 citedOpen Access
Data and trained models for "A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer"
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
A Comparison of Different Compound Representations for Drug Sensitivity Prediction
Lecture notes in networks and systems·2021· 3 cited
Deep learning for drug response prediction in cancer
Briefings in Bioinformatics·2019· 235 cited
Artificial Intelligence in Biological Activity Prediction
Advances in intelligent systems and computing·2019· 5 citedOpen Access
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Nature Communications·2019· 350 citedOpen Access
A review on metabolomics data analysis for cancer applications
RepositóriUM (Universidade do Minho)·2019
A Review on Metabolomics Data Analysis for Cancer Applications
Advances in intelligent systems and computing·2018· 1 cited
Machine learning approaches for predicting effects of drug combinations in cancer
RepositóriUM (Universidade do Minho)·2016Open Access
Rational identification of colorectal cancer homing peptides using phage display and in silico rigid-body docking studies of surface protein-ligand interactions
RepositóriUM (Universidade do Minho)·2015Open Access

Frequent Co-authors

Miguel Rocha(8), Pedro Beltrão(7), Pedro G. Ferreira(4), João Correia(3), Lena Skrutl(3), Federico Uliana(3), Melanie Pfister(3), László Tirián(3), Dominik Handler(3), David F. Burke(3), Anna Sintsova(3), Julius Brennecke(3), Madhav Jagannathan(3), Bruno Pereira(2), Diederik S. Laman Trip(2), Marc van Oostrum(2), Danish Memon(2), Fabian Frommelt(2), Kalpana Panneerselvam(2), Glyn Bradley(2)