Computational Pathogenicity Prediction
Computational Pathogenicity Prediction is a computational method that systematically estimates the likelihood of a genetic variant being disease-causing by integrating genomic data with evolutionary, structural, and functional annotations through algorithmic models.
225
Publications
23.6K
Citations
1.5K
Authors
614
Institutions
Publications per year
2017–2026
160
Parents
225
Accurate proteome-wide missense variant effect prediction with AlphaMissense
Jun Cheng, Guido Novati, Joshua Pan et al. · Science · 2023 · 2K citations
1–5 of 225
1.5K
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Institució Catalana de Recerca i Estudis Avançats, Spain
5 publications · 513 citations
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4
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4
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1–5 of 1.5K
614
Harvard University
Cambridge, United States
10 h-index
33 publications
6K citations
Cardiff University
Cardiff, United Kingdom
9 h-index
18 publications
5.6K citations
Inserm
Paris, France
7 h-index
34 publications
2.6K citations
University of Cambridge
Cambridge, United Kingdom
6 h-index
7 publications
300 citations

Broad Institute
Cambridge, United States
6 h-index
10 publications
2.9K citations

University of Bologna
Bologna, Italy
6 h-index
11 publications
1.5K citations
Charité - Universitätsmedizin Berlin
Berlin, Germany
5 h-index
14 publications
498 citations
Stanford University
Stanford, United States
5 h-index
16 publications
18.8K citations
1–8 of 614
23 publications · 5K citations
22
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16 publications · 2.7K citations
14
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11 publications · 1.5K citations
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11 publications · 407 citations
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Repository · 8 publications · 194 citations
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