FROG analysis ensures the reproducibility of genome scale metabolic models

• Autor(es): Raman, Karthik ; Kratochvil, Miroslav ; Olivier, Brett G. ; Konig, Matthias ; Sengupta, Pratyay ; Baskaran, Dinesh Kumar Kuppa ; Nguyen, Tung V N ; Lobo, Daniel ; Wilken, St Elmo ; Tiwari, Krishna Kumar ; Raghu, Aswathy K. ; Palanikumar, Indumathi ; Raajaraam, Lavanya ; Ibrahim, Maziya ; Balakrishnan, Sanjaay ; Umale, Shreyansh ; Bergmann, Frank ; Malpani, Tanisha ; Satagopam, Venkata P ; Schneider, Reinhard ; Beber, Moritz E. ; Keating, Sarah ; Anton, Mihail ; Renz, Alina ; Lakshmanan, Meiyappan ; Lee, Dong-Yup ; Koduru, Lokan ; Mostolizadeh, Reihaneh ; Dias, Oscar ; Cunha, Emanuel Rodrigues ; Oliveira, Alexandre Rafael Machado ; Lee, Yi Qing ; Zengler, Karsten ; Santibanez-Palominos, Rodrigo ; Kumar, Manish ; Barberis, Matteo ; Puniya, Bhanwar Lal ; Helikar, Tomas ; Dinh, Hoang V. ; Suthers, Patrick F. ; Maranas, Costas D. ; Casini, Isabella ; Loghmani, Seyed Babak ; Veith, Nadine ; Leonidou, Nantia ; Li, Feiran ; Chen, Yu ; Nielsen, Jens ; Lee, GaRyoung ; Lee, Sang Mi ; Kim, Gi Bae ; Monteiro, Pedro T. ; Teixeira, Miguel C. ; Kim, Hyun Uk ; Lee, Sang Yup ; Liebal, Ulf W. ; Blank, Lars M. ; Lieven, Christian ; Tarzi, Chaimaa ; Angione, Claudio ; Blaise, Manga Enuh ; Aytar, Celik Pinar ; Kulyashov, Mikhail ; Akberdin, llya ; Kim, Dohyeon ; Yoon, Sung Ho ; Xu, Zhaohui ; Gautam, Jyotshana ; Scott, William T. ; Schaap, Peter J. ; Koehorst, Jasper J. ; Zuniga, Cristal ; Canto-Encalada, Gabriela ; Benito-Vaquerizo, Sara ; Olm, Ivette Parera ; Suarez-Diez, Maria ; Yuan, Qianqian ; Ma, Hongwu ; Islam, Mohammad Mazharul ; Papin, Jason A. ; Zorrilla, Francisco ; Patil, Kiran Raosaheb ; Basile, Arianna ; Nogales, Juan ; San Leon, Granado ; Castillo-Alfonso, Freddy ; Olivares-Hernández, Roberto ; Canto-Encalada, Gabriela ; Vigueras-Ramirez, Gabriel ; Hermjakob, Henning ; Drager, Andreas ; Malik-Sheriff, Rahuman S
• Data: 2024
• Identificador Persistente: https://hdl.handle.net/1822/93169
• Origem: RepositóriUM - Universidade do Minho
• Tipo de Documento: Preprint
• Idioma: Inglês
• Contribuidor(es): Universidade do Minho

Descrição

Genome scale metabolic models (GEMs) and other constraint-based models (CBMs) play a pivotal role in understanding biological phenotypes and advancing research in areas like metabolic engineering, human disease modelling, drug discovery, and personalized medicine. Despite their growing application, a significant challenge remains in ensuring the reproducibility of GEMs, primarily due to inconsistent reporting and inadequate model documentation of model results. Addressing this gap, we introduce FROG analysis, a community driven initiative aimed at standardizing reproducibility assessments of CBMs and GEMs. The FROG framework encompasses four key analyses including Flux variability, Reaction deletion, Objective function, and Gene deletion to produce standardized, numerically reproducible FROG reports. These reports serve as reference datasets, enabling model evaluators, curators, and independent researchers to verify the reproducibility of GEMs systematically. BioModels, a leading repository of systems biology models, has integrated FROG analysis into its curation workflow, enhancing the reproducibility and reusability of submitted GEMs. In our study evaluating 65 GEM submissions from the community, approximately 40\% reproduced without intervention, 28\% requiring minor adjustments, and 32\% needing input from authors. The standardization introduced by FROG analysis facilitated the detection and resolution of issues, ultimately leading to the successful reproduction of all models. By establishing a standardized and comprehensive approach to evaluating GEM reproducibility, FROG analysis significantly contributes to making CBMs and GEMs more transparent, reusable, and reliable for the broader scientific community.Competing Interest StatementThe authors have declared no competing interest.