Loop Modeling Benchmarking
Loop Modeling Benchmarking is a formal evaluation framework that systematically assesses the accuracy, efficiency, and generalizability of computational methods for predicting protein loop conformations by comparing their performance against standardized datasets and established metrics.
10
Publications
690
Citations
34
Authors
11
Institutions
Publications per year
2017–2026
4
Parents
10
Brian D. Weitzner, Daisuke Kuroda, Nicholas Marze et al. · Proteins Structure Function and Bioinformatics · 2014 · 104 citations · Full text
Loopholes and missing links in protein modeling
Karen A. Rossi, Carolyn A. Weigelt, Akbar Nayeem et al. · Protein Science · 2007 · 37 citations · Full text
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11

Johns Hopkins University
Baltimore, United States
3 h-index
8 publications
651 citations
University of Missouri
Columbia, United States
2 h-index
8 publications
224 citations
University at Buffalo, State University of New York
Buffalo, United States
1 h-index
2 publications
692 citations

Imperial College London
London, United Kingdom
1 h-index
3 publications
42 citations

Vanderbilt University
Nashville, United States
1 h-index
5 publications
135 citations

Johns Hopkins Medicine
Baltimore, United States
1 h-index
1 publications
104 citations
University of Memphis
Memphis, United States
1 h-index
4 publications
100 citations
Bristol-Myers Squibb (Germany)
Munich, Germany
1 h-index
4 publications
148 citations
1–8 of 11
2 publications · 41 citations
2
h-index
1 publications · 25 citations
1
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JCTC · 1 publications · 29 citations
1
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1 publications · 104 citations
1
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JI · 1 publications · 52 citations
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