Loop Accuracy Assessment
Loop Accuracy Assessment is a computational metric used in structural biology to quantify the deviation between predicted and experimentally determined loop conformations in protein models, distinguished by its focus on local structural fidelity of solvent-exposed polypeptide segments.
18
Publications
710
Citations
48
Authors
33
Institutions
Publications per year
2017–2026
5
Parents
18
Benchmarking the Accuracy of AlphaFold 2 in Loop Structure Prediction
Amy O. Stevens, Yi He · Biomolecules · 2022 · 102 citations · Full text
1–5 of 18
48
2
h-index
2
h-index
1
h-index
1 publications · 28 citations
1
h-index
1
h-index
1–5 of 48
33
The University of Osaka
Osaka, Japan
2 h-index
4 publications
94 citations
University of Nebraska–Lincoln
Lincoln, United States
2 h-index
2 publications
56 citations
Nova Research Company (United States)
Bethesda, United States
1 h-index
1 publications
41 citations
Institut National de Physique Nucléaire et de Physique des Particules
Paris, France
1 h-index
1 publications
38 citations
Biologie Computationnelle, Quantitative et Synthétique
Paris, France
1 h-index
1 publications
39 citations
University of Sheffield
Sheffield, United Kingdom
1 h-index
2 publications
130 citations
RIKEN Center for Advanced Intelligence Project
Tokyo, Japan
1 h-index
1 publications
65 citations
Columbia University
New York, United States
1 h-index
2 publications
72 citations
1–8 of 33
3 publications · 75 citations
3
h-index
1 publications · 65 citations
1
h-index
1 publications · 23 citations
1
h-index
JACS · 1 publications · 94 citations
1
h-index
PEDS · 1 publications · 112 citations
1
h-index
1–5