Author

A. Pessia

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pharmacology & Toxicology· 2 Biochemistry· 1 Cancer Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 4 Research Focus:drug response / drug discovery· 3 Organism:human· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:database / resource· 1

Frequent Co-Authors

J. TangiD· 3 shared W. Wang· 3 shared A. Malyutina· 2 shared S. Zheng· 2 shared V. Velagapudi· 2 shared A. Califano· 1 shared A. Fernandez-Torras· 1 shared B. Szalai· 1 shared

Activity by Year

2018-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersPharmacology & Toxicology

J. TangORCID

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Author profile →

5 papers

Recent·Most cited

S. Typhimurium impairs glycolysis-mediated acidification of phagosomes to evade macrophage defense

S. Gutierrez, J. Fischer, R. Ganesan, G. Cildir, M. Wolke, A. Pessia, P. Frommolt, V. Desiderio, V. Velagapudi, N. Robinson

This study shows S. Typhimurium disrupts macrophage glycolysis to prevent phagosome acidification and evade immune defense.

bioRxiv · Jan 14, 2021Microbiology

A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile Data

E. F. Douglass, R. J. Allaway, B. Szalai, W. Wang, T. Tian, A. Fernandez-Torras, R. Realubit, C. Karan, S. Zheng, A. Pessia, Z. Tanoli, M. Jafari, F. Wan, S. Li, Y. Xiong, , A. Califano

The paper hosts a DREAM Challenge to evaluate computational models for predicting drug polypharmacology using perturbational profile data from 32 kinase inhibitors.

bioRxiv · Dec 21, 2020Cancer Biology

DrugComb - an integrative cancer drug combination data portal

B. Zagidullin, J. Aldahdooh, S. Zheng, W. Wang, Y. Wang, J. Saad, A. Malyutina, A. Pessia, J. Tang

DrugComb provides an open-access portal for drug combination screening data, enabling analysis and prediction of drug synergy using linear regression and chemical fingerprints.

bioRxiv · Feb 25, 2019Pharmacology & Toxicology

Drug combination sensitivity scoring facilitates the discovery of synergistic and efficacious drug combinations in cancer

A. Malyutina, M. M. Majumder, W. Wang, A. Pessia, C. A. Heckman, J. Tang

This paper introduces a drug combination sensitivity score (CSS) to efficiently evaluate drug synergy in cancer, showing high reproducibility and predictive accuracy.

bioRxiv · Jan 4, 2019Pharmacology & Toxicology

Validation and automation of a high-throughput multi-targeted method for semi-quantification of endogenous metabolites from different biological matrices using tandem mass spectrometry

J. Nandania, G. Peddinti, A. Pessia, M. Kokkonen, V. Velagapudi

This paper validates and automates a high-throughput metabolomics method for semi-quantifying 102 metabolites across biological matrices using tandem mass spectrometry, showing high accuracy and reproducibility.

bioRxiv · Jun 20, 2018Biochemistry