Author

S. H. Chen

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· 3 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:mechanistic / dynamical model· 1

Frequent Co-Authors

C. Stanley· 2 shared D. Bhowmik· 2 shared C.-H. Shih· 1 shared C.-N. Hsiung· 1 shared D. R. Bell· 1 shared J. Gounley· 1 shared K. L. Weiss· 1 shared K.-C. Chen· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersBiophysics

C. Stanley

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Reduced glutamate decarboxylase 1 underlies morphine-promoted lung metastasis of triple-negative breast cancer in mice

S. H. Chen, C.-H. Shih, T.-L. Ke, C.-N. Hsiung, K.-C. Chen, Z.-X. Huang, T.-H. Chuang, L.-K. Chen, L. Chen

This study shows that long-term morphine use in mice increases lung metastasis of triple-negative breast cancer by reducing GAD1 and taurine biosynthesis, suggesting taurine may counteract this effect.

bioRxiv · Sep 14, 2023 · PreprintCancer Biology

Structural characterization of an intrinsically disordered protein complex using integrated small-angle neutron scattering and computing

S. H. Chen, K. L. Weiss, C. Stanley, D. Bhowmik

The paper characterizes the structural ensemble of an IDP complex using SANS, MD simulations, and a deep learning algorithm, revealing distinct conformational clusters.

bioRxiv · Dec 19, 2022Biophysics

Towards guided mutagenesis: Gaussian process regression predicts MHC class II antigen mutant binding

D. R. Bell, S. H. Chen

This paper uses Gaussian process regression to predict MHC class II antigen mutant binding affinities from limited prior data, achieving high accuracy for neutral residues.

bioRxiv · Apr 14, 2021Biophysics

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