Author

M. T. Young

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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Approach:deep learning· 2 Research Focus:protein folding & dynamics· 2 Research Focus:clustering· 1 Research Focus:drug response / drug discovery· 1 Approach:mechanistic / dynamical model· 1 Assay:protein structure· 1 Assay:structural biology· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

D. Bhowmik· 2 shared A. Ramanathan· 1 shared C. Stanley· 1 shared J. Gounley· 1 shared S. Gao· 1 shared S. H. Chen· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBiophysics

D. Bhowmik

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2 papers

Recent·Most cited

Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets

S. H. Chen, M. T. Young, J. Gounley, C. Stanley, D. Bhowmik

The paper uses AI and molecular dynamics to analyze SARS-CoV-2 spike protein structure, revealing flexibility in the S2 domain and hinge region that could inform therapeutic targets.

bioRxiv · Apr 17, 2020 · PreprintBiophysics

Deep clustering of protein folding simulations

D. Bhowmik, M. T. Young, S. Gao, A. Ramanathan

This paper uses a convolutional variational autoencoder to cluster protein folding simulations and identify conformational substates, achieving 89% contact prediction accuracy.

bioRxiv · Jun 12, 2018Biophysics