L. Tobalina

发表

Assessment of FBA Based Gene Essentiality Analysis in Cancer with a Fast Context-Specific Network Reconstruction Method

Francisco J. Planes, Jon Pey, L. Tobalina, 2016, PloS one.

A meta-analysis of clinical cases of reversion mutations in BRCA genes identifies signatures of DNA end-joining repair mechanisms driving therapy resistance

J. Armenia, M. O’Connor, J. V. Forment, 2020, bioRxiv.

An in-silico approach to predict and exploit synthetic lethality in cancer metabolism

Iñigo Apaolaza, Luis Tobalina, Xabier Agirre, 2017, Nature Communications.

Direct calculation of minimal cut sets involving a specific reaction knock-out

Francisco J. Planes, Luis Tobalina, Jon Pey, 2016, Bioinform..

SLFN11 informs on standard of care and novel treatments in a wide range of cancer models

M. Garnett, J. Armenia, A. Lau, 2020, British Journal of Cancer.

How to find the right drug for each patient? Advances and challenges in pharmacogenomics

Luis Tobalina, Julio Saez-Rodriguez, J. Saez-Rodriguez, 2018, Current opinion in systems biology.

Patient-specific Boolean models of signalling networks guide personalised treatments

E. Barillot, J. Saez-Rodriguez, L. Calzone, 2022, eLife.

Patient-specific Boolean models of signalling

E. Barillot, J. Sáez-Rodríguez, L. Calzone, 2022 .

A meta-analysis of reversion mutations in BRCA genes identifies signatures of DNA end-joining repair mechanisms driving therapy resistance.

J. Armenia, M. O’Connor, J. V. Forment, 2020, Annals of oncology : official journal of the European Society for Medical Oncology.

Advances in network-based metabolic pathway analysis and gene expression data integration

Angel Rubio, Francisco J. Planes, John E. Beasley, 2015, Briefings Bioinform..

Patient-specific Boolean models of signaling networks guide personalized treatments

E. Barillot, J. Saez-Rodriguez, L. Calzone, 2021, bioRxiv.

Context-specific metabolic network reconstruction of a naphthalene-degrading bacterial community guided by metaproteomic data

Francisco J. Planes, Luis Tobalina, Rafael Bargiela, 2015, Bioinform..

A network-based approach for predicting key enzymes explaining metabolite abundance alterations in a disease phenotype

Francisco J. Planes, Luis Tobalina, Jon Pey, 2013, BMC Systems Biology.

Logic Modeling in Quantitative Systems Pharmacology

Pauline Traynard, Laurence Calzone, Luis Tobalina, 2017, CPT: pharmacometrics & systems pharmacology.

An in-silico approach to predict and exploit synthetic lethality in cancer metabolism

F. Prósper, X. Agirre, Iñigo Apaolaza, 2017, Nature Communications.

rMTA: robust metabolic transformation analysis

Luis Tobalina, Francisco J Planes, Luis V Valcárcel, 2019, Bioinform..

TreeEFM: calculating elementary flux modes using linear optimization in a tree-based algorithm

Francisco J. Planes, José M. García, John E. Beasley, 2015, Bioinform..

Proteomic Dynamics of Breast Cancer Cell Lines Identifies Potential Therapeutic Protein Targets

R. Aebersold, W. Reinhold, Y. Pommier, 2023, Molecular & cellular proteomics : MCP.

Relevance of ATM Status in Driving Sensitivity to DNA Damage Response Inhibitors in Patient-Derived Xenograft Models

A. Lau, Zena Wilson, E. Cadogan, 2023, Cancers.

TreeEFM: calculating elementary flux modes using linear optimization in a tree-based algorithm

J. Beasley, J. M. García, L. Tobalina, 2015, Bioinform..

TreeEFM: calculating elementary flux modes using linear optimization in a tree-based

L. Tobalina, A. Rezola, J. Pey, 2014 .