Backbone Refinement
Backbone Refinement is a computational optimization method within homology modeling that specifically improves the accuracy of the predicted protein structure by adjusting the polypeptide backbone conformation while preserving side-chain connectivity and stereochemical constraints.
109
Publications
10.5K
Citations
419
Authors
184
Institutions
Publications per year
2017–2026
17
Parents
109
1–5 of 109
419
3
h-index
3
h-index
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University of North Carolina at Chapel Hill, United States
3 publications · 122 citations
3
h-index
3
h-index
1–5 of 419
184
Scripps Research Institute
San Diego, United States
4 h-index
14 publications
460 citations
ETH Zurich
Zurich, Switzerland
4 h-index
8 publications
294 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
13 publications
436 citations
National Institutes of Health
Bethesda, United States
4 h-index
14 publications
1.4K citations
Harvard University
Cambridge, United States
3 h-index
4 publications
147 citations
National Institute of Diabetes and Digestive and Kidney Diseases
Bethesda, United States
3 h-index
5 publications
404 citations
New York University
New York, United States
3 h-index
20 publications
1.4K citations
University of California, San Francisco
San Francisco, United States
3 h-index
8 publications
580 citations
1–8 of 184
17 publications · 1.6K citations
17
h-index
16 publications · 592 citations
13
h-index
8 publications · 130 citations
8
h-index
JMB · 4 publications · 511 citations
4
h-index
JMR · 4 publications · 72 citations
4
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1–5