Author

F. J. Acosta-Reyes

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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Biophysics· 2

Signature Assays, Organisms & Methods

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Research Focus:protein folding & dynamics· 2 Research Focus:cell signaling & trafficking· 1 Assay:cryo-EM· 1 Approach:deep learning· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Approach:genetic perturbation / CRISPR· 1 Assay:structural biology· 1

Frequent Co-Authors

J. Frank· 2 shared E. Seitz· 1 shared M. E. Gottesman· 1 shared P. Schwander· 1 shared S. BHATTACHARJEE· 1 shared S. Maji· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBiophysics

J. Frank

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintSep 2, 2023

Structural insight into translation initiation of the ????cl leaderless mRNA

F. J. Acosta-Reyes, S. BHATTACHARJEE, M. E. Gottesman, J. Frank

This study uses cryo-EM to reveal structural insights into the translation initiation of leaderless mRNA by examining the uS2-deficient ribosome and its interaction with the lambda cI lmRNA.

DOI 10.1101/2023.09.02.556006

E. colistructural biology

𝕏 PostBluesky

BiophysicsbioRxivPreprintJun 18, 2021

Geometric machine learning informed by ground truth: Recovery of conformational continuum from single-particle cryo-EM data of biomolecules

E. Seitz, F. J. Acosta-Reyes, S. Maji…·J. Frank

This paper introduces an unsupervised geometric machine learning approach to recover conformational continua from single-particle cryo-EM data using simulated ground-truth datasets, showing improved results over previous methods.

DOI 10.1101/2021.06.18.449029

cryo-EMdeep learning

𝕏 PostBluesky