Author

Brooke Holcombe

University of AlabamaORCID 0000-0002-2366-8623Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Ayanjeet GhoshiD· 2 shared Ana Pacheco de Oliveira· 1 shared Divya Baghel· 1 shared Harrison Edmonds· 1 shared Kevin L. YehiD· 1 shared Rohit BhargavaiD· 1 shared Shih‐Hsiu J. WangiD· 1 shared Sudipta S. MukherjeeiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersNeuroscience

Ayanjeet GhoshORCID

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2 papers

Recent·Most cited

NeuroscienceActa NeuropathologicaPeer-reviewedJul 13, 2025

Lipid Mediated Formation of Antiparallel Aggregates in Cerebral Amyloid Angiopathy

Ana Pacheco de Oliveira, Divya Baghel, Brooke Holcombe…·Ayanjeet Ghosh

This study investigates the structural characteristics of amyloid-beta aggregates in cerebral amyloid angiopathy, identifying antiparallel beta-sheet structures linked to lipid-mediated aggregation.

10 citationstop 3%

humanproteomics

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BiophysicsbioRxivPreprintJan 8, 2025

A Machine Learning-based Approach for Quantification of Protein Secondary Structures from Discrete Frequency Infrared Images

Harrison Edmonds, Sudipta S. Mukherjee, Brooke Holcombe…·Ayanjeet Ghosh

This paper introduces a neural network model to rapidly predict protein secondary structure from discrete frequency infrared images, significantly reducing data acquisition and analysis time.

1 citation

imagingdeep learning

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