Author

Pablo A. Rolandi

Amgen (United States)

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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Systems Biology· 3

Signature Assays, Organisms & Methods

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Assay:metabolomics· 3 Research Focus:benchmarking· 2 Organism:mouse· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:E. coli· 1

Frequent Co-Authors

Cleo KontoravdiiD· 3 shared Elçin IçteniD· 3 shared Miguel Á. Valderrama-GómeziD· 3 shared Nathan E. LewisiD· 3 shared Saratram GopalakrishnaniD· 3 shared William Johnson· 3 shared Fabrice SchlegeliD· 2 shared Jasmine TatiD· 2 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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3 shared papersSystems Biology

Cleo KontoravdiORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Multi-omic characterization of antibody-producing CHO cell lines elucidates metabolic reprogramming and nutrient uptake bottlenecks

Saratram Gopalakrishnan, William Johnson, Miguel Á. Valderrama-Gómez, Elçin Içten, Jasmine Tat, Fides D. Lay, Jonathan Diep, Natalia V. Gomez, Jennitte L. Stevens, Fabrice Schlegel, Pablo A. Rolandi, Cleo Kontoravdi, Nathan E. Lewis

Metabolic Engineering · Jul 22, 2024Peer-reviewedSystems Biology

COSMIC-dFBA: A novel multi-scale hybrid framework for bioprocess modeling

Saratram Gopalakrishnan, William Johnson, Miguel Á. Valderrama-Gómez, Elçin Içten, Jasmine Tat, Michael Ingram, Coral Fung Shek, Pik Kay Chan, Fabrice Schlegel, Pablo A. Rolandi, Cleo Kontoravdi, Nathan E. Lewis

COSMIC-dFBA predicts cell density, antibody titer, and metabolite concentrations in bioreactors by integrating machine learning with genome-scale metabolic models.

Metabolic Engineering · Feb 20, 2024Peer-reviewedSystems Biology

Guidelines for extracting biologically relevant context-specific metabolic models using gene expression data

Saratram Gopalakrishnan, Chintan Jagdishchandra Joshi, Miguel Á. Valderrama-Gómez, Elçin Içten, Pablo A. Rolandi, William Johnson, Cleo Kontoravdi, Nathan E. Lewis

The paper evaluates algorithms for generating context-specific metabolic models using gene expression data and identifies guidelines for selecting the best models.

Metabolic Engineering · Jan 1, 2023Peer-reviewedSystems Biology