Author

Amika Sood

University of GeorgiaORCID 0000-0002-0767-7917Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:metagenomics· 1 Organism:multiple species· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Robert J. WoodsiD· 2 shared Chuanhao PengiD· 1 shared Eric J CarpenteriD· 1 shared Jonathan CartmelliD· 1 shared Joshua S. SharpiD· 1 shared Lara K. MahaliD· 1 shared Logan Woudstra· 1 shared Nicholas M. Twells· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBiochemistry

Robert J. WoodsORCID

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2 papers

Recent·Most cited

Atom-level Machine Learning of Protein-glycan Interactions and Cross-chiral Recognition in Glycobiology

Eric J Carpenter, Chuanhao Peng, Simatsidk Haregu, Nicholas M. Twells, Logan Woudstra, Amika Sood, Jonathan Cartmell, Robert J. Woods, Lara K. Mahal, Sheng‐Kai Wang, Russell Greiner, Ratmir Derda

This paper develops MCNet, a machine learning model that predicts protein-glycan binding strength using atom-level representations, enabling cross-chiral recognition and unifying diverse glycobiology datasets.

Science Advances · Dec 5, 2025Peer-reviewedBiochemistry

Mapping of the Fondaparinux Binding Site of JR-FL gp120 by High Resolution Hydroxyl Radical Protein Footprinting and Computational Docking

Sandeep K. Misra, Amika Sood, Paulo A. Soares, Vitor H. Pomin, Robert J. Woods, Joshua S. Sharp

This study identifies the fondaparinux binding sites on JR-FL gp120 using hydroxyl radical footprinting and docking, showing two binding regions: the V3 loop and the N- and C-termini.

bioRxiv · Oct 23, 2017 · PreprintBiochemistry