Loop Ensemble Modeling
Loop Ensemble Modeling is a computational method in structural biology that predicts the conformational variability of protein loops by generating a set of plausible loop structures, thereby capturing the inherent flexibility and uncertainty in loop regions beyond a single static model.
12
Publications
458
Citations
30
Authors
17
Institutions
Publications per year
2017–2026
2
Parents
12
Jonathan K. Williams, Baifan Wang, Andrew Sam et al. · Proteins Structure Function and Bioinformatics · 2021 · 46 citations · Full text
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17
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
4 publications
56 citations
Microsoft (United States)
Redmond, United States
2 h-index
4 publications
56 citations

University of Minnesota
Minneapolis, United States
1 h-index
1 publications
12 citations

St Petersburg University
Saint Petersburg, Russia
1 h-index
1 publications
31 citations

Kōchi University
Kochi, Japan
1 h-index
3 publications
33 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
2 publications
28 citations

Winona State University
Winona, United States
1 h-index
1 publications
12 citations
Quantitative BioSciences
Solana Beach, United States
1 h-index
1 publications
46 citations
1–8 of 17
2 publications · 60 citations
2
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1 publications · 250 citations
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1 publications · 11 citations
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1 publications · 16 citations
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1 publications · 13 citations
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