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Vincent B. Chen

Duke University · US
Area of research
Molecular Biology · Materials Chemistry
Research interest
Research interests include Enzyme Structure and Function, Protein Structure and Dynamics, RNA and protein synthesis mechanisms, and Advanced Electron Microscopy Techniques and Applications.
h-index
19
citations
53,934
works
28
NIH funding
primary concept
email

Recent publications

Categorizing prediction modes within low-pLDDT regions of <i>AlphaFold</i> 2 structures: near-predictive, pseudostructure and barbed wire
Acta Crystallographica Section D Structural Biology 2025cited by 4position: middledoi
Categorizing prediction modes within low-pLDDT regions of AlphaFold2 structures
2025cited by 2position: middledoi
RNAprecis: Prediction of full-detail RNA conformation from the experimentally best-observed sparse parameters
2025cited by 1position: middledoi
Outcomes of the EMDataResource cryo-EM Ligand Modeling Challenge
Nature Methods 2024cited by 17position: middledoi
Outcomes of the EMDataResource cryo-EM Ligand Modeling Challenge.
2024cited by 16position: middledoi
The bad and the good of trends in model building and refinement for sparse-data regions: pernicious forms of overfitting versus good new tools and predictions
Acta Crystallographica Section D Structural Biology 2023cited by 6position: middledoi
CERES: a cryo-EM re-refinement system for continuous improvement of deposited models.
2021cited by 21position: middledoi
Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in <i>Phenix</i>
Acta Crystallographica Section D Structural Biology 2019cited by 7,316position: middledoi
New tools in MolProbity validation: CaBLAM for CryoEM backbone, UnDowser to rethink “waters,” and NGL Viewer to recapture online 3D graphics
Protein Science 2019cited by 177position: middledoi
CaBLAM for chiropraxis in cryoEM, UnDowser to rethink “waters”, and NGL Viewer to recapture online 3D graphics in MolProbity validation
2019cited by 2position: middledoi
MolProbity: More and better reference data for improved all‐atom structure validation
Protein Science 2017cited by 4,894position: middledoi

Grants

CAREER: Effect of changes in power spectral density on neuromodulation
NSF2144472$500,5402022–2027PIRePORTER

Frequent collaborators

Jane S. Richardson · Duke University8 papers (2017–2025)Christopher J. Williams · Duke University7 papers (2017–2025)David C. Richardson · Duke University4 papers (2019–2025)Michael G. Prisant · Columbia University4 papers (2019–2025)Paul D. Adams · Lawrence Berkeley National Laboratory2 papers (2017–2019)David Richardson · Duke University School of Medicine2 papers (2017–2019)Bradley J. Hintze · Duke University2 papers (2017–2019)Nigel W. Moriarty · Lawrence Berkeley National Laboratory2 papers (2017–2019)Michael G. Prisant · Duke University2 papers (2017–2019)Swati Jain · Delhi Pharmaceutical Science and Research University2 papers (2017–2019)Lizbeth L. Videau · Duke University2 papers (2017–2019)Billy K. Poon · Lawrence Berkeley National Laboratory2 papers (2019–2021)Li‐Wei Hung · University of California, Berkeley1 papers (2019–2019)Massimo Sammito · AstraZeneca (United Kingdom)1 papers (2019–2019)Jeffrey J. Headd · Johnson & Johnson (United States)1 papers (2017–2017)Pavel V. Afonine · University of California, Berkeley1 papers (2019–2019)L.N. Deis · Stanford University1 papers (2017–2017)Tristan I. Croll · Codexis (United States)1 papers (2019–2019)Dorothée Liebschner · Lawrence Berkeley National Laboratory1 papers (2019–2019)W.B. Arendall · Duke University1 papers (2017–2017)