Author

Vincent B. Chen

Duke UniversityORCID 0000-0003-2492-979XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:protein structure· 2 Research Focus:protein structure prediction· 2 Approach:statistical model· 2 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Christopher J. WilliamsiD· 2 shared Jane S. RichardsoniD· 2 shared Benjamin EltzneriD· 1 shared David C. RichardsoniD· 1 shared Ezra MilleriD· 1 shared Franziska Hoppe· 1 shared Henrik WiechersiD· 1 shared Kanti V. MardiaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersMolecular Biology

Christopher J. WilliamsORCID

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2 papers

Recent·Most cited

Molecular BiologyPLoS Computational BiologyPeer-reviewedMay 8, 2026

RNAprecis: Prediction of full-detail RNA conformation from the experimentally best-observed sparse parameters

Henrik Wiechers, Christopher J. Williams, Benjamin Eltzner…·Stephan Huckemann

The paper introduces RNAprecis, an algorithm that predicts detailed RNA conformations from low-resolution experimental data, showing improved performance on outlier cases.

1 citation

protein structurestatistical model

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BiochemistrybioRxivPreprintJun 6, 2025

Categorizing prediction modes within low-pLDDT regions of AlphaFold2 structures

Christopher J. Williams, Vincent B. Chen, David C. Richardson, Jane S. Richardson

This paper identifies three prediction modes in low-pLDDT regions of AlphaFold2 structures and develops a tool to annotate and visualize them for improved interpretation.

2 citations

humanprotein structure

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