Author

S. C. Chennubhotla

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 Cancer Biology· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 4 Organism:human· 3 Research Focus:cell-cell communication· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Assay:cryo-EM· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. Brace· 2 shared A. Ramanathan· 2 shared A. Trifan· 2 shared D. L. Taylor· 2 shared F. Pullara· 2 shared H. Ma· 2 shared I. Foster· 2 shared R. Stevens· 2 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBiophysics

A. Brace

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action

A. Trifan, D. Gorgun, Z. Li, A. Brace, M. Zvyagin, H. Ma, A. R. Clyde, D. A. Clark, M. Salim, D. Hardy, T. Burnley, L. Huang, J. McCalpin, M. Emani, H. Yoo, , A. Ramanathan

This study develops an AI-driven multi-resolution simulation workflow to study SARS-CoV-2 RTC dynamics, combining cryo-EM with mesoscale simulations and AI methods.

bioRxiv · Oct 9, 2021 · PreprintBiophysics

High Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Non-Covalent Inhibitor

A. Clyde, S. Galanie, D. W. Kneller, H. Ma, Y. Babuji, B. Blaiszik, A. Brace, T. Brettin, K. Chard, R. Chard, L. Coates, I. Foster, D. Hauner, V. Kertesz, N. Kumar, , R. Stevens

This paper identifies a novel non-covalent inhibitor of SARS-CoV-2 main protease through high throughput virtual screening, validated by biochemical assays, X-ray crystallography, and molecular dynamics simulations.

bioRxiv · Mar 27, 2021 · PreprintBiophysics

Unsupervised cellular phenotypic hierarchy enables spatial intratumor heterogeneity characterization, recurrence-associated microdomains discovery, and harnesses network biology from hyperplexed in-situ fluorescence images of colorectal carcinoma

S. Furman, A. Stern, S. Uttam, D. L. Taylor, F. Pullara, S. C. Chennubhotla

LEAPH identifies spatial microdomains and recurrence-associated signaling networks in colorectal carcinoma using hyperplexed fluorescence images.

bioRxiv · Oct 2, 2020 · PreprintCancer Biology

Spatial domain analysis predicts risk of colorectal cancer recurrence and infers associated tumor microenvironment networks

S. Uttam, A. M. Stern, S. Furman, F. Pullara, D. Spagnolo, L. Nguyen, A. H. Gough, C. Sevinsky, F. Ginty, D. L. Taylor, S. C. Chennubhotla

The paper develops a spatial analytics platform to predict colorectal cancer recurrence and infer tumor microenvironment networks from spatial data.

bioRxiv · Dec 11, 2019Cancer Biology