Author

N. Schafer

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

Signature Assays, Organisms & Methods

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Research Focus:protein folding & dynamics· 2 Assay:protein structure· 2 Approach:deep learning· 1 Organism:human· 1 Approach:mechanistic / dynamical model· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Grishaev· 1 shared F. Bocci· 1 shared G. Rangarajan· 1 shared H. Levine· 1 shared J. N. Onuchic· 1 shared J. Orban· 1 shared K. Weninger· 1 shared M. Chen· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiophysics

A. Grishaev

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2 papers

Recent·Most cited

PAGE4 and Conformational Switching: Insights from Molecular Dynamics Simulations and Implications for Prostate Cancer

X. Lin, S. Roy, M. K. Jolly, F. Bocci, N. Schafer, M.-Y. Tsai, Y. Chen, Y. He, A. Grishaev, K. Weninger, J. Orban, P. Kulkarni, G. Rangarajan, H. Levine, J. N. Onuchic

This study uses molecular dynamics simulations to investigate how phosphorylation of PAGE4 affects its structure and interactions with AP-1 and AR, revealing conformational switching linked to prostate cancer progression.

bioRxiv · Feb 22, 2018Biophysics

The AWSEM-Amylometer: Predicting Amyloid Propensity And Fibril Topology Using An Optimized Folding Landscape Model

M. Chen, N. Schafer, W. Zheng, P. G. Wolynes

The paper introduces AWSEM-Amylometer, a computational method predicting amyloid propensity and fibril topology using an optimized folding landscape model, showing favorable performance compared to existing predictors.

bioRxiv · May 17, 2017Biophysics