Model Predictivity Assessment
Model Predictivity Assessment is a methodological framework used in pharmacophore validation to evaluate the accuracy and generalizability of a pharmacophore model in predicting the biological activity of unseen compounds by assessing its performance on external test sets or cross-validation metrics.
527
Publications
82.6K
Citations
1.9K
Authors
696
Institutions
Publications per year
2017–2026
168
Parents
527
Principles of QSAR models validation: internal and external
Paola Gramatica · QSAR & Combinatorial Science · 2007 · 2.2K citations · Full text
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696

Jadavpur University
Kolkata, India
18 h-index
63 publications
16.4K citations

Uppsala University
Uppsala, Sweden
14 h-index
32 publications
1.3K citations
University of Insubria
Varese, Italy
12 h-index
28 publications
13.3K citations
University of Cambridge
Cambridge, United Kingdom
11 h-index
24 publications
3.4K citations
AstraZeneca (Sweden)
Södertälje, Sweden
11 h-index
30 publications
1.9K citations
Environmental Protection Agency
Washington, United States
11 h-index
38 publications
4K citations
University of Vienna
Vienna, Austria
9 h-index
21 publications
957 citations
United States Food and Drug Administration
Silver Spring, United States
9 h-index
47 publications
4.2K citations
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JCIM · 53 publications · 7.1K citations
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22 publications · 666 citations
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16 publications · 2.6K citations
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13 publications · 762 citations
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12 publications · 870 citations
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