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David E. Kim

Howard Hughes Medical Institute · US
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Area of research
Molecular Biology · Materials Chemistry
Research interest
Research interests include Protein Structure and Dynamics, Enzyme Structure and Function, Machine Learning in Bioinformatics, and RNA and protein synthesis mechanisms.
h-index
37
citations
11,851
works
90
NIH funding
primary concept
email

Recent publications

Topological reprogramming transforms an integral membrane oligosaccharyltransferase into a water-soluble glycosylation catalyst
bioRxiv (Cold Spring Harbor Laboratory) 2026cited by 1position: middledoi
Protein sequence design by conformational landscape optimization
Proceedings of the National Academy of Sciences 2021cited by 151position: middledoi
Protein tertiary structure prediction and refinement using deep learning and Rosetta in <scp>CASP14</scp>
Proteins Structure Function and Bioinformatics 2021cited by 55position: middledoi
In silico detection of SARS-CoV-2 specific B-cell epitopes and validation in ELISA for serological diagnosis of COVID-19
Scientific Reports 2021cited by 33position: middledoi
High‐accuracy refinement using Rosetta in CASP13
Proteins Structure Function and Bioinformatics 2019cited by 48position: middledoi
Protein homology model refinement by large-scale energy optimization
Proceedings of the National Academy of Sciences 2018cited by 71position: middledoi
An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12
Scientific Reports 2018cited by 23position: middledoi
Comprehensive computational design of ordered peptide macrocycles
Science 2017cited by 220position: middledoi
Protein structure prediction using Rosetta in CASP12
Proteins Structure Function and Bioinformatics 2017cited by 117position: middledoi
Automatic structure prediction of oligomeric assemblies using Robetta in CASP12
Proteins Structure Function and Bioinformatics 2017cited by 74position: middledoi
Structure prediction using sparse simulated <scp>NOE</scp> restraints with Rosetta in <scp>CASP</scp> 11
Proteins Structure Function and Bioinformatics 2016cited by 20position: middledoi
Large-scale determination of previously unsolved protein structures using evolutionary information
eLife 2015cited by 245position: middledoi
Improved de novo structure prediction in <scp>CASP</scp> 11 by incorporating coevolution information into Rosetta
Proteins Structure Function and Bioinformatics 2015cited by 112position: middledoi
High-Resolution Comparative Modeling with RosettaCM
Structure 2013cited by 1,231position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

David Baker · Howard Hughes Medical Institute10 papers (2013–2021)Hahnbeom Park · University of Washington7 papers (2015–2021)Sergey Ovchinnikov · Scripps Research Institute6 papers (2015–2018)Frank DiMaio · University of Washington5 papers (2013–2018)Ivan Anishchenko · University of Washington3 papers (2019–2021)Ray Yu‐Ruei Wang · University of California, San Francisco3 papers (2013–2016)Isabelle Phan · Seattle Children's Hospital1 papers (2021–2021)Michael C. Jewett · Northwestern University1 papers (2026–2026)Logan Tillery · Seattle University1 papers (2021–2021)Yuxing Liao · Baylor College of Medicine1 papers (2015–2015)Alexander L. Greninger · University of Washington1 papers (2021–2021)Yehia Ibrahim · Pacific Northwest National Laboratory1 papers (2017–2017)Gabriele Varani · University of Washington1 papers (2017–2017)Hetunandan Kamisetty · Carnegie Mellon University1 papers (2015–2015) · 1 papers (2026–2026)Daniel‐Adriano Silva · Seattle University1 papers (2017–2017)Gyu Rie Lee · Directorate-General for Interpretation1 papers (2019–2019)Matthew P. DeLisa · Cornell University1 papers (2026–2026) · 1 papers (2021–2021)David Veesler · Howard Hughes Medical Institute1 papers (2021–2021)
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