Author

Patrick F. Suthers

Pennsylvania State UniversityORCID 0000-0002-5560-9986Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Costas D. MaranasiD· 3 shared Hoang V. DinhiD· 2 shared Alexander F. Benson· 1 shared Alexandre OliveiraiD· 1 shared Alina RenziD· 1 shared Allison Z. WerneriD· 1 shared Andreas DrägeriD· 1 shared Andrew J. BorchertiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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3 shared papersSystems Biology

Costas D. MaranasORCID

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Author profile →

3 papers

Recent·Most cited

Engineered Pseudomonas putida reconfigures metabolic fluxes to support energy demands during muconate bioproduction from lignin-related aromatics

Rebecca A. Wilkes, Patrick F. Suthers, Andrew J. Borchert, Melanie M. Callaghan, Eashant Thusoo, Richard J. Giannone, Dana L. Carper, John I. Hendry, Alexander F. Benson, Michael A. Gapuz, Ashley N. Merrill, Kelsey J. Ramirez, Davinia Salvachúa, Robert L. Hettich, Costas D. Maranas, , Allison Z. Werner

This paper investigates how engineered Pseudomonas putida reconfigures metabolic fluxes to enhance muconate production from lignin-related aromatics.

Metabolic Engineering · Oct 1, 2026Peer-reviewedSynthetic Biology

FROG Analysis Ensures the Reproducibility of Genome Scale Metabolic Models

Karthik Raman, Miroslav Kratochvíl, Brett G. Olivier, Matthias König, Pratyay Sengupta, Dinesh Kumar Kuppa Baskaran, Tung V. N. Nguyen, Daniel Lobo, St. Elmo Wilken, Krishna Kumar Tiwari, Aswathy K. Raghu, Indumathi Palanikumar, Lavanya Raajaraam, Maziya Ibrahim, Sanjaay Balakrishnan, , Rahuman S. Malik‐Sheriff

The paper introduces FROG analysis to standardize reproducibility assessments of genome-scale metabolic models, resulting in full reproducibility of all tested models.

bioRxiv · Sep 24, 2024 · PreprintSystems Biology

A comprehensive genome-scale model for Rhodosporidium toruloides IFO0880 accounting for functional genomics and phenotypic data

Hoang V. Dinh, Patrick F. Suthers, Siu Hung Joshua Chan, Yihui Shen, Tianxia Xiao, Anshu Deewan, Sujit Sadashiv Jagtap, Huimin Zhao, Christopher V. Rao, Joshua D. Rabinowitz, Costas D. Maranas

The paper constructs a genome-scale metabolic model for Rhodosporidium toruloides IFO0880, integrating functional genomics and phenotypic data to improve predictions of gene essentiality and metabolic capabilities.

Metabolic Engineering Communications · Aug 28, 2019Peer-reviewedSystems Biology