Structure Prediction Validation
Structure Prediction Validation is a methodological framework within computational structural biology that systematically assesses the accuracy and reliability of predicted molecular structures by comparing them against experimentally determined structures using quantitative metrics and statistical analyses.
123
Publications
22.5K
Citations
704
Authors
282
Institutions
Publications per year
2017–2026
33
123
704
9
h-index
9
h-index
7
h-index
7
h-index
6
h-index
1–5 of 704
282
University of California, Davis
Davis, United States
10 h-index
22 publications
2.5K citations
University College London
London, United Kingdom
9 h-index
32 publications
11.1K citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
8 h-index
31 publications
9K citations

University of Basel
Basel, Switzerland
7 h-index
34 publications
7.8K citations
Columbia University
New York, United States
6 h-index
8 publications
1.6K citations
Utrecht University
Utrecht, The Netherlands
6 h-index
10 publications
4.3K citations
University of Cambridge
Cambridge, United Kingdom
6 h-index
18 publications
5.2K citations
BioInfoBank Institute
Poznań, Poland
6 h-index
7 publications
557 citations
1–8 of 282
27 publications · 3.4K citations
25
h-index
5 publications · 1.5K citations
5
h-index
PS · 4 publications · 5.3K citations
5
h-index
4 publications · 261 citations
4
h-index
4 publications · 1.3K citations
4
h-index
1–5