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

Click to filter author papers

Biophysics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBiophysics

D. Bhowmik

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BiophysicsbioRxivPreprintApr 17, 2020

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

S. H. Chen, M. T. Young, J. Gounley…·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.

DOI 10.1101/2020.04.17.047548

virusstructural biology

𝕏 PostBluesky

BiophysicsbioRxivJun 12, 2018

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.

DOI 10.1186/s12859-018-2507-5

protein structuredeep learning

𝕏 PostBluesky