Author

Pratyasha Chakraborty

University of Chicago

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 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:mechanistic / dynamical model· 1 Approach:statistical model· 1

Frequent Co-Authors

Anthony J. CarlosiD· 2 shared Raymond E. MoelleringiD· 2 shared Shaopeng YuiD· 2 shared Benjamin D. Stein· 1 shared Benoı̂t RouxiD· 1 shared Colin SwensoniD· 1 shared Dongbo YangiD· 1 shared Kavya Smitha PillaiiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

Anthony J. CarlosORCID

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2 papers

Recent·Most cited

Spatially-resolved Photoproximity Profiling of MYC Identifies a MYC-BAF Liability in Cancer Cells

Anthony J. Carlos, Shuyuan Huang, Dongbo Yang, Colin Swenson, Pratyasha Chakraborty, Shaopeng Yu, Benjamin D. Stein, Raymond E. Moellering

This paper introduces siPROX, a spatially resolved photoproximity method to map MYC interactomes, revealing BAF complex interactions as a therapeutic target in MYC-driven cancers.

bioRxiv · Oct 17, 2025 · PreprintCancer Biology

Molecular Dynamics-Guided Design and Chemoproteomic Profiling of Covalent Kinase Activity Probes

Pratyasha Chakraborty, Anthony J. Carlos, Trayder Thomas, Kyle Ghaby, Shaghayegh Fathi, Mukta Sharma, Ngoc Kim Nguyen, Mason Farmwald, Lydia Blachowicz, Shaopeng Yu, Kavya Smitha Pillai, Benoı̂t Roux, Raymond E. Moellering

This paper designs and tests covalent kinase activity probes using computational methods and shows they target multiple kinases in live cells with distinct kinetics and conformations.

bioRxiv · Oct 17, 2025 · PreprintBiochemistry