Author

M. Nash

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· 5 Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 5 Research Focus:protein folding & dynamics· 4 Approach:deep learning· 3 Organism:human· 2 Approach:mechanistic / dynamical model· 2 Assay:proteomics· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1

Frequent Co-Authors

Z. Liu· 4 shared B. Yang· 3 shared H. Liu· 3 shared C. Kueng· 2 shared R. Vanella· 2 shared V. Doffini· 2 shared A. A. Schoepfer· 1 shared A. Larabi· 1 shared

Activity by Year

2023-2024 · peak 5/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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4 shared papersBiophysics

Z. Liu

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

Engineering the Mechanical Stability of a Therapeutic Affibody/PD-L1 Complex by Anchor Point Selection

B. Yang, D. E. B. Gomes, Z. Liu, M. S. Santos, J. Li, R. C. Bernardi, M. Nash

The paper investigates how anchor point selection affects the mechanical stability of an Affibody/PD-L1 complex using multiple experimental and computational methods.

bioRxiv · May 21, 2024 · PreprintBiophysics

Deep Mutational Scanning Reveals a De Novo Disulfide Bond and Combinatorial Mutations for Engineering Thermostable Myoglobin

C. Kueng, O. Protsenko, R. Vanella, M. Nash

This study uses deep mutational scanning to identify mutations that enhance thermostability in human myoglobin, discovering a de novo disulfide bond and combinatorial mutations that significantly increase stability.

bioRxiv · Feb 24, 2024Bioengineering

Engineering an artificial catch bond using mechanical anisotropy

Z. Liu, H. Liu, A. M. Vera, B. Yang, P. Tinnefeld, M. Nash

The paper demonstrates how modifying anchor geometry can generate catch bonding behavior in the DocG:CohE adhesion complex, showing mechanical anisotropy enables engineered catch bonds.

bioRxiv · Sep 12, 2023Biophysics

Iterative Machine Learning for Classification and Discovery of Single-molecule Unfolding Trajectories from Force Spectroscopy Data

V. Doffini, H. Liu, Z. Liu, M. Nash

This paper introduces FUSION, a machine learning workflow for classifying and discovering protein unfolding trajectories from force spectroscopy data, achieving high accuracy and identifying new unfolding pathways.

bioRxiv · Aug 8, 2023Biophysics

Uncovering and engineering the mechanical properties of the adhesion GPCR ADGRG1 GAIN domain

L. Dumas, M. Marfoglia, B. Yang, M. Hijazi, A. Larabi, K. Lau, F. Pojer, M. Nash, P. BARTH

This study investigates the mechanical properties of the ADGRG1 GAIN domain using single-molecule force spectroscopy and simulations, revealing structural mechanisms that enhance mechanical resistance and informing potential drug design.

bioRxiv · Apr 5, 2023 · PreprintBiophysics

Direct Comparison of Lysine vs. Site-specific Protein Surface Immobilization in Single-molecule Mechanical Assays

H. Liu, Z. Liu, M. Santos, M. Nash

This study compares lysine-based and site-specific protein immobilization methods in single-molecule force spectroscopy, finding that lysine-based methods degrade signal quality and alter unfolding pathway classification.

bioRxiv · Mar 17, 2023 · PreprintBiophysics

Understanding Activity-Stability Tradeoffs in Biocatalysts by Enzyme Proximity Sequencing

R. Vanella, C. Kueng, A. A. Schoepfer, V. Doffini, J. Ren, M. Nash

The paper introduces EP-Seq, a method to simultaneously measure enzyme stability and activity across thousands of mutations, and applies it to D-amino acid oxidase to identify activity-stability tradeoffs.

bioRxiv · Feb 24, 2023Bioengineering