Author

C. Eng

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 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:biophysical modeling· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:protein folding & dynamics· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1

Frequent Co-Authors

I. N. Smith· 3 shared A. Brunklaus· 1 shared A. Dervan· 1 shared a. malavia· 1 shared A. Myers· 1 shared A. Pratapa· 1 shared A. Ratushny· 1 shared A. Thakurta· 1 shared

Activity by Year

2019-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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3 shared papersBiophysics

I. N. Smith

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Author profile →

5 papers

Recent·Most cited

Molecular dynamics simulations reveal molecular mechanisms for the gain and loss of function effects of four SCN2A variants

N. Bhattarai, L. Montanucci, T. Brunger, E. P. Palma, W. Martin, I. N. Smith, C. Eng, F. Cheng, I. Helbig, R. Moller, A. Brunklaus, S. Schorge, D. Lal

The paper uses molecular dynamics simulations to analyze four SCN2A variants, revealing how they affect channel structure and function, with R937C being the most unstable.

bioRxiv · Feb 19, 2024 · PreprintBiophysics

Structural and Dynamic Effects of PTEN C-terminal Tail Phosphorylation

I. N. Smith, J. E. Dawson, J. M. Krieger, S. Thacker, I. Bahar, C. Eng

This study investigates how phosphorylation of PTEN's C-terminal tail affects its structure and dynamics, revealing allosteric coupling and potential druggable sites.

bioRxiv · Apr 16, 2022Biophysics

Physiologically Based Multiphysics Pharmacokinetic Model for Determining the Temporal Biodistribution of Targeted Nanoparticles

e. glass, S. Kulkarni, C. Eng, s. feng, a. malavia, R. Radhakrishnan

This paper develops and validates physics-based multiscale PBPK models for NP biodistribution, showing model B better matches experimental data and demonstrating neural networks can solve ODE systems with quasi-steady-state approximation.

bioRxiv · Mar 7, 2022 · PreprintBioengineering

Targeting the Cx26/NANOG/Focal Adhesion Kinase Complex via Cell Penetrating Peptides in Triple Negative Breast Cancers

E. E. Mulkearns-Hubert, E. Esakov, S. Ben-Salem, R. Bharti, N. Hajdari, S. Johnson, A. Myers, I. N. Smith, S. Bandyopadhyay, C. Eng, E. Downs-Kelly, J. Lathia, O. Reizes

This study demonstrates that a cell-penetrating peptide targeting the Cx26/NANOG/FAK complex inhibits tumor growth and alters NANOG activity in triple-negative breast cancer.

bioRxiv · Sep 9, 2021 · PreprintCancer Biology

Multiple Myeloma DREAM Challenge Reveals Epigenetic Regulator PHF19 As Marker of Aggressive Disease

M. J. Mason, C. Schinke, C. Eng, F. Towfic, F. Gruber, A. Dervan, B. S. White, A. Pratapa, Y. Guan, H. Chen, Y. Cui, B. Li, T. Yu, E. Chaibub Neto, K. Mavrommatis, , J. A. Guinney

The paper identifies PHF19 as a marker of aggressive multiple myeloma and shows a simple four-feature model performs as well as complex gene expression models.

bioRxiv · Aug 22, 2019Cancer Biology