Model Confidence Estimation
Model Confidence Estimation is a computational framework within Template-Based Modeling that quantifies the reliability of predicted structural models by evaluating the consistency and quality of template alignment evidence and evolutionary information underlying the target-template relationships.
71
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7.9K
Citations
293
Authors
122
Institutions
Publications per year
2017–2026
47
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Detecting Adversarial Samples from Artifacts
Reuben Feinman, Ryan R. Curtin, Saurabh Shintre et al. · arXiv (Cornell University) · 2017 · 378 citations · Full text
ABodyBuilder: Automated antibody structure prediction with data–driven accuracy estimation
Jinwoo Leem, James B. Dunbar, Guy Georges et al. · mAbs · 2016 · 260 citations · Full text
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University of Cambridge
Cambridge, United Kingdom
5 h-index
15 publications
328 citations
Google (United States)
Mountain View, United States
3 h-index
34 publications
734 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
5 publications
67 citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
2 h-index
13 publications
52.2K citations
Tsinghua University
Beijing, China
2 h-index
4 publications
83 citations

Sapienza University of Rome
Rome, Italy
2 h-index
2 publications
161 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
7 publications
115 citations
Valeo (France)
Paris, France
2 h-index
4 publications
558 citations
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Repository · 9 publications · 782 citations
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1 publications · 21 citations
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1 publications · 20 citations
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JIA · 1 publications · 51 citations
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IMU · 1 publications · 14 citations
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