Author

D. R. Bell

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 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:drug response / drug discovery· 1 Approach:mechanistic / dynamical model· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

R. Zhou· 2 shared A. Giwa· 1 shared A. R. A. Hamad· 1 shared B. Luan· 1 shared C. Jie· 1 shared H. Zhang· 1 shared J. Heinemann· 1 shared J. Margolick· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersImmunology

R. Zhou

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Apposed networks of interacting TCRs and BCRs exhibiting mosaicked CDR3 sequences made of fixed junctional motifs

R. Ahmed, N. Majety, K. C. Chan, A. Giwa, J. Heinemann, H. Zhang, J. Margolick, R. Al-Hallaf, P. Paul, D. R. Bell, Y. Song, S. Lee, R. Zhou, R. M. Wolfe, T. Donner, , A. R. A. Hamad

The paper identifies two networks of TCRβ and IGH clonotypes with conserved CDR3 sequences associated with over 63 diseases, suggesting evolutionary-conserved primordial antigen receptors.

bioRxiv · May 6, 2023 · PreprintImmunology

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

Exploring the Binding Mechanism between Human Profilin (PFN1) and Polyproline-10 through Binding Mode Screening

L. Zhang, D. R. Bell, B. Luan, R. Zhou

This study evaluates methods for predicting protein-protein interactions using PFN1 and P10 binding as a model, finding that SMD simulations correlate better with PMF results than conventional MD metrics.

bioRxiv · Sep 16, 2018Biophysics