Author

R. L. Pinals

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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Bioengineering· 6 Biophysics· 3 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 7 Research Focus:cell type annotation· 4 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Approach:machine learning (classical)· 2 Research Focus:protein folding & dynamics· 2 Assay:proteomics· 2 Assay:bulk RNA-seq· 1

Frequent Co-Authors

M. P. Landry· 7 shared D. Yang· 3 shared C. Copos· 2 shared D. J. Rosenberg· 2 shared J. T. Del Bonis-O'Donnell· 2 shared K. Gasior· 2 shared N. S. Goh· 2 shared A. Dawes· 1 shared

Activity by Year

2019-2023 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 11 mutual co-author links

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7 shared papersBioengineering

M. P. Landry

Mutual co-authors in cluster

Author profile →

10 papers

Recent·Most cited

Mapping the Morphology of DNA on Carbon Nanotube-Based Sensors in Solution using X-ray Scattering Interferometry

D. J. Rosenberg, F. J. Cunningham, J. D. Hubbard, N. S.-Y. Goh, J. W.-T. Wang, E. B. Hayman, G. L. Hura, M. P. Landry, R. L. Pinals

This study uses X-ray scattering interferometry to directly measure ssDNA geometries on SWCNTs in solution, revealing structural changes and sensing mechanisms.

bioRxiv · May 4, 2023 · PreprintBiophysics

Bridging global actin network patterns to local molecular dynamics: a combined modeling and machine learning framework

M. W. Rostami, B. E. Bannish, K. Gasior, R. L. Pinals, C. Copos, A. T. Dawes

The paper develops a combined modeling and machine learning framework to classify actin network structures by analyzing microscale dynamics and network geometry.

bioRxiv · Sep 6, 2022Biophysics

Supervised Learning Model Predicts Protein Adsorption to Carbon Nanotubes

R. L. Pinals, N. Ouassil, J. T. Del Bonis-O'Donnell, J. W. Wang, M. P. Landry

The paper develops a random forest classifier to predict protein adsorption to carbon nanotubes using amino acid sequences, identifying key features associated with binding affinity.

bioRxiv · Jun 19, 2021Bioengineering

Transcriptomic and morphological response of SIM-A9 mouse microglia to carbon nanotube neuro-sensors

D. Yang, S. J. Yang, J. T. Del Bonis-O'Donnell, R. L. Pinals, M. P. Landry

The paper examines the effects of SWCNT dopamine nanosensors on mouse microglia and introduces a passivation strategy to enhance biocompatibility and imaging performance.

bioRxiv · Jun 30, 2020 · PreprintBioengineering

Surface Modification Effects on Single-Walled Carbon Nanotubes for Multimodal Optical Applications

L. Chio, R. L. Pinals, N. S. Goh, A. Murali, M. P. Landry

This study shows that covalently functionalized single-walled carbon nanotubes retain fluorescence for molecular recognition, enabling their use in nanosensors and multiplexed applications.

bioRxiv · May 5, 2020 · PreprintBioengineering

Connecting actin polymer dynamics across multiple scales

C. Copos, B. Bannish, K. Gasior, R. L. Pinals, M. Rostami, A. Dawes

This study connects microscale actin branching dynamics to macroscale network behavior using agent-based and PDE models, showing how microscale parameters influence macroscopic growth.

bioRxiv · Jan 28, 2020 · PreprintBiophysics

Protein Corona Composition and Dynamics on Carbon Nanotubes in Blood Plasma and Cerebrospinal Fluid

R. L. Pinals, D. Yang, D. J. Rosenberg, T. Chaudhary, A. R. Crothers, A. T. Iavarone, M. Hammel, M. P. Landry

The paper measures protein corona formation on carbon nanotubes and polystyrene nanoparticles in blood plasma and cerebrospinal fluid, identifying key proteins and interactions driving corona composition and dynamics.

bioRxiv · Jan 13, 2020 · PreprintBioengineering

Carbon Nanocarriers Deliver siRNA to Intact Plant Cells for Efficient Gene Knockdown

G. S. Demirer, H. Zhang, N. S. Goh, R. L. Pinals, R. Chang, M. P. Landry

This study develops nanotube-based delivery of siRNA to plant cells, achieving efficient gene knockdown by overcoming cell wall barriers and nuclease degradation.

bioRxiv · Dec 12, 2019 · PreprintPlant Biology

Corona exchange dynamics on carbon nanotubes by multiplexed fluorescence monitoring

R. L. Pinals, D. Yang, A. Lui, W. Cao, M. P. Landry

This study measures real-time DNA and protein exchange dynamics on carbon nanotubes in solution, showing fibrinogen binds more strongly than albumin and affects dopamine sensor response.

bioRxiv · Sep 10, 2019Bioengineering

Graphene Quantum Dot Oxidation Governs Noncovalent Biopolymer Adsorption

S. Jeong, R. L. Pinals, B. Dharmadhikari, H. Song, A. Kalluri, D. Debnath, W. Qi, M.-H. Ham, P. Patra, M. Landry

This study investigates how oxidation levels of graphene quantum dots (GQDs) affect noncovalent adsorption of single-stranded DNA, showing strong adsorption on unoxidized GQDs and none on heavily oxidized ones.

bioRxiv · Jun 27, 2019Bioengineering