Author

R. R. Cheng

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· 4

Signature Assays, Organisms & Methods

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Research Focus:chromatin & epigenetic regulation· 3 Assay:Hi-C· 3 Approach:statistical model· 3 Organism:human· 2 Assay:ChIP-seq· 1 Approach:deep learning· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

J. N. Onuchic· 4 shared M. Di Pierro· 4 shared P. G. Wolynes· 2 shared A. B. Oliveira Junior· 1 shared B. S. Ruben· 1 shared E. Dodero-Rojas· 1 shared E. L. Aiden· 1 shared E. Lieberman Aiden· 1 shared

Activity by Year

2017-2022 · peak 1/yr

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10 top collaborators · 24 mutual co-author links

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4 shared papersBiophysics

J. N. Onuchic

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Author profile →

4 papers

Recent·Most cited

Structural Reorganization and Relaxation Dynamics of Axially Stressed Chromosomes

B. S. Ruben, S. Brahmachari, V. G. Contessoto, R. R. Cheng, A. B. Oliveira Junior, M. Di Pierro, J. N. Onuchic

This study uses a coarse-grained polymer model to simulate mitotic chromosome mechanics, finding they are ten times stiffer than interphase chromosomes and exhibit viscoelastic behavior.

bioRxiv · Sep 3, 2022Biophysics

Evolutionary differences in the ACE2 reveals the molecular origins of COVID-19 susceptibility

R. R. Cheng, E. Dodero-Rojas, M. Di Pierro, J. N. Onuchic

The paper uses energy landscape theory to analyze ACE2 protein sequences across animals, identifying patterns that correlate with susceptibility to COVID-19.

bioRxiv · Mar 25, 2021 · PreprintBiophysics

Exploring Chromosomal Structural Heterogeneity AcrossMultiple Cell Lines

R. R. Cheng, V. Contessoto, E. L. Aiden, P. G. Wolynes, M. Di Pierro, J. N. Onuchic

The paper uses simulations and machine learning to predict chromosomal structures across cell lines, showing consistency with microscopy and revealing conformational transitions and compartment rearrangements.

bioRxiv · Mar 21, 2020Biophysics

De Novo Prediction of Human Chromosome Structures: Epigenetic Marking Patterns Encode Genome Architecture

M. Di Pierro, R. R. Cheng, E. Lieberman Aiden, P. G. Wolynes, J. N. Onuchic

The paper predicts human chromosome structures from epigenetic data, showing that chromatin architecture can be inferred through phase separation-like processes using ChIP-Seq and Hi-C data.

bioRxiv · Aug 7, 2017Biophysics