Author

M. Fuentes-Cabrera

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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Microbiology· 2 Biochemistry· 1 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:bacteria (other)· 2 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:trajectory inference· 2 Research Focus:benchmarking· 1 Organism:C. elegans· 1

Frequent Co-Authors

B. Li· 2 shared D. C. Ducat· 2 shared J. K. Sakkos· 2 shared P. Zuliani· 2 shared A. S. McGough· 1 shared C. Robertson· 1 shared D. Ducat· 1 shared D. Reguera· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioengineering

B. Li

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Inferring assembly-curving trends of bacterial micro-compartment shell hexamers from crystal structure arrangements

L. Garcia-Alles, V. Soldan, I. Custovic, S. Castano-Cerezo, S. Balor, M. Fuentes-Cabrera, G. Truan, E. Lesniewska, D. Reguera

The paper investigates how bacterial micro-compartment hexamers assemble into flat or curved structures using crystal data and simulations, identifying ionic interactions that influence curvature.

bioRxiv · Oct 21, 2022Biochemistry

Predicting partner fitness based on spatial structuring in a light-driven microbial community

J. K. Sakkos, M. Santos-Merino, E. J. Kokarakis, B. Li, M. Fuentes-Cabrera, P. Zuliani, D. C. Ducat

The paper develops an in-silico model of a synthetic microbial consortium to predict colony fitness based on spatial structuring and metabolic exchange.

bioRxiv · Sep 28, 2022Bioengineering

Investigating Carboxysome Morphology Dynamics with a Rotationally Invariant Variational Autoencoder

M. Fuentes-Cabrera, J. K. Sakkos, D. C. Ducat, M. Ziatdinov

This study uses a rotationally invariant variational autoencoder to analyze carboxysome morphology dynamics in cyanobacteria, finding it can quantify changes in location, shape, and size over time.

bioRxiv · Nov 15, 2021Microbiology

Investigating the growth of an engineered strain of Cyanobacteria with an Agent-Based Model and a Recurrent Neural Network

J. Sakkos, J. Weaver, C. Robertson, B. Li, D. Taniguchi, K. Maheshwari, D. Ducat, P. Zuliani, A. S. McGough, T. P. Curtis, M. Fuentes-Cabrera

The paper develops a computational framework combining ABMs and RNNs to model and accelerate the growth of an engineered Cyanobacteria strain.

bioRxiv · Oct 11, 2021 · PreprintMicrobiology