Author

A. Carneiro

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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Biochemistry· 1 Bioengineering· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1

Frequent Co-Authors

A. Busia· 1 shared C. F. Mendoca· 1 shared C. Fannjiang· 1 shared C. V. Lucena· 1 shared D. H. Brookes· 1 shared D. Shin· 1 shared D. V. Schaffer· 1 shared D. ZHU· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioengineering

A. Busia

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Author profile →

2 papers

Recent·Most cited

Urine proteomics as a non-invasive approach to monitor exertional rhabdomyolysis during military training

A. Carneiro, J. Macedo-da-Silva, V. F. Santiago, G. S. de Oliveira, T. Guimaraes, C. F. Mendoca, J. L. d. O. Branquinho, C. V. Lucena, J. B. Osorio, E. Pernambuco, J. C. Moreira, J. B. Pesquero, M. D. Pereira, G. Palmisano

This study identifies urine proteins correlated with exertional rhabdomyolysis markers and genetic polymorphisms in military trainees.

bioRxiv · Dec 10, 2021Biochemistry

Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy

D. ZHU, D. H. Brookes, A. Busia, A. Carneiro, C. Fannjiang, G. Popova, D. Shin, E. F. Chang, T. J. Nowakowski, J. Listgarten, D. V. Schaffer

This paper develops a machine learning method to design more effective AAV libraries with better packaging capabilities and diversity, achieving higher success rates in gene therapy applications.

bioRxiv · Nov 2, 2021Bioengineering