Author

M. D. T. Torres

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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Bioengineering· 4 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 5 Approach:deep learning· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Assay:metagenomics· 2 Assay:proteomics· 2 Organism:bacteria (other)· 1 Approach:experimental assay· 1

Frequent Co-Authors

C. de la Fuente-Nunez· 3 shared C. de la Fuente· 2 shared A. Boaro· 1 shared A. Cesaro· 1 shared A. Fullam· 1 shared A. Houseman· 1 shared A. Rodriguez del Rio· 1 shared A. S. Bhatt· 1 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersBioengineering

C. de la Fuente-Nunez

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Molecular de-extinction of antibiotics enabled by deep learning

F. Wan, M. D. T. Torres, J. Peng, C. de la Fuente

This paper introduces a deep learning method to discover antibiotic peptides from extinct organisms, identifying novel sequences with antimicrobial activity not found in modern species.

bioRxiv · Oct 1, 2023Bioengineering

Computational exploration of the global microbiome for antibiotic discovery

C. D. Santos-Junior, M. D. T. Torres, Y. Duan, A. Rodriguez del Rio, T. S. B. Schmidt, H. Chong, A. Fullam, K. Michael, C. Zhu, A. Houseman, J. Somborski, A. Vines, X.-M. Zhao, P. Bork, J. Huerta-Cepas, , L. P. Coelho

The paper uses machine learning to predict antimicrobial peptides from microbiome data, identifies novel peptides, and validates their antibacterial activity against drug-resistant pathogens.

bioRxiv · Aug 31, 2023Microbiology

Human gut metagenomic mining reveals an untapped source of peptide antibiotics

M. D. T. Torres, E. F. Brooks, A. Cesaro, H. Sberro, C. Nicolaou, A. S. Bhatt, C. de la Fuente

The paper identifies hundreds of novel peptide antibiotics from human gut metagenomes, showing antimicrobial activity and potential therapeutic applications.

bioRxiv · Aug 31, 2023 · PreprintBioengineering

Molecular de-extinction of ancient antimicrobial peptides enabled by machine learning

J. R. M. A. Maasch, M. D. T. Torres, M. C. R. Melo, C. de la Fuente-Nunez

This study uses machine learning to identify antimicrobial peptides from modern and extinct human proteins, demonstrating their activity and potential for antibiotic discovery.

bioRxiv · Nov 15, 2022Bioengineering

Autonomous treatment of bacterial infections in vivo using antimicrobial micro- and nanomachines

X. Arque, M. D. T. Torres, T. Patino, A. Boaro, S. Sanchez, C. de la Fuente-Nunez

This paper develops antimicrobial micro- and nanomachines that autonomously deliver antibiotics to infection sites, showing efficacy against drug-resistant bacteria in a mouse model.

bioRxiv · Nov 11, 2021Bioengineering