Allergen Selection Algorithms
Allergen Selection Algorithms is a computational methodology within allergy diagnostics that systematically identifies and prioritizes relevant allergens for testing based on patient-specific data, exposure patterns, and immunological cross-reactivity profiles to optimize diagnostic accuracy and efficiency.
39
Publications
3.2K
Citations
256
Authors
129
Institutions
Publications per year
2017–2026
14
Parents
39
AllerTOP v.2—a server for in silico prediction of allergens
Ivan Dimitrov, Ivan P. Bangov, Darren R. Flower et al. · Journal of Molecular Modeling · 2014 · 1.4K citations
Utility and limitations of a peptide reactivity assay to predict fragrance allergens in vitro
Andreas Natsch, Hans Gfeller, M. Rothaupt et al. · Toxicology in Vitro · 2007 · 186 citations
Life Sciences, Immunology, Allergy +12
1–5 of 39
256
2
h-index
2
h-index
Birla Institute of Technology and Science - Hyderabad Campus, India
2 publications · 59 citations
2
h-index
2
h-index
2
h-index
1–5 of 256
129

Icahn School of Medicine at Mount Sinai
New York, United States
2 h-index
8 publications
759 citations

Monsanto (United States)
Creve Coeur, United States
2 h-index
7 publications
202 citations
Medical University of Vienna
Vienna, Austria
2 h-index
7 publications
415 citations
Bayer (France)
Lyon, France
2 h-index
2 publications
120 citations
Pioneer Hi-Bred
Johnston, United States
2 h-index
5 publications
245 citations

University of Milan
Milan, Italy
2 h-index
3 publications
167 citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
2 h-index
3 publications
123 citations

Vienna General Hospital
Vienna, Austria
2 h-index
7 publications
583 citations
1–8 of 129
4 publications · 252 citations
4
h-index
RTP · 3 publications · 149 citations
3
h-index
3 publications · 238 citations
3
h-index
3 publications · 205 citations
3
h-index
2 publications · 92 citations
2
h-index
1–5