Author

Kyle Ghaby

University of ChicagoORCID 0000-0002-6071-9274Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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

Frequent Co-Authors

Benoı̂t RouxiD· 2 shared Anthony J. CarlosiD· 1 shared Kavya Smitha PillaiiD· 1 shared Lydia BlachowicziD· 1 shared Mason FarmwaldiD· 1 shared Mukta SharmaiD· 1 shared Ngoc Kim Nguyen· 1 shared Pratyasha Chakraborty· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiochemistry

Benoı̂t RouxORCID

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2 papers

Recent·Most cited

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

Kinetic Modeling of Covalent Inhibition: Effects of Rapidly Fluctuating Intermediate States

Kyle Ghaby, Benoı̂t Roux

This paper develops a kinetic model to analyze covalent inhibitors by accounting for intermediate states, showing how transient conformations affect inhibitor potency and dissociation rates.

Journal of Chemical Information and Modeling · Aug 12, 2025Peer-reviewedBiophysics