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MultiTarget Pharmaceuticals abcc1-focussing dataset
Abcc1 Focussing Dataset, supplied by MultiTarget Pharmaceuticals, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/abcc1-focussing+dataset/abcb1++abcc1++and+abcg2+inhibitors/pmc08826350-54-7-26
Average 90 stars, based on 1 article reviews
abcc1-focussing dataset - by Bioz Stars, 2026-09
90/100 stars

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Related Articles

Generated:

Article Title: Structural feature-driven pattern analysis for multitarget modulator landscapes
Article Snippet: In a recent report, we generated an ABCC1-focussing dataset comprising 1510 compounds which turned out to be an optimal virtual screening dataset due to its known multitarget hit rate of 23.5% and its non-substructure-based selection criteria ( Silbermann et al. , 2019 ).

Selection:

Article Title: Structural feature-driven pattern analysis for multitarget modulator landscapes
Article Snippet: In a recent report, we generated an ABCC1-focussing dataset comprising 1510 compounds which turned out to be an optimal virtual screening dataset due to its known multitarget hit rate of 23.5% and its non-substructure-based selection criteria ( Silbermann et al. , 2019 ).

Calcein AM Assay:

Article Title: Structural feature-driven pattern analysis for multitarget modulator landscapes
Article Snippet: In a recent report, we generated an ABCC1-focussing dataset comprising 1510 compounds which turned out to be an optimal virtual screening dataset due to its known multitarget hit rate of 23.5% and its non-substructure-based selection criteria ( Silbermann et al. , 2019 ).

Cell Culture:

Article Title: Structural feature-driven pattern analysis for multitarget modulator landscapes
Article Snippet: In a recent report, we generated an ABCC1-focussing dataset comprising 1510 compounds which turned out to be an optimal virtual screening dataset due to its known multitarget hit rate of 23.5% and its non-substructure-based selection criteria ( Silbermann et al. , 2019 ).

Activation Assay:

Article Title: Structural feature-driven pattern analysis for multitarget modulator landscapes
Article Snippet: In a recent report, we generated an ABCC1-focussing dataset comprising 1510 compounds which turned out to be an optimal virtual screening dataset due to its known multitarget hit rate of 23.5% and its non-substructure-based selection criteria ( Silbermann et al. , 2019 ).

Activity Assay:

Article Title: Structural feature-driven pattern analysis for multitarget modulator landscapes
Article Snippet: In a recent report, we generated an ABCC1-focussing dataset comprising 1510 compounds which turned out to be an optimal virtual screening dataset due to its known multitarget hit rate of 23.5% and its non-substructure-based selection criteria ( Silbermann et al. , 2019 ).

Derivative Assay:

Article Title: Structural feature-driven pattern analysis for multitarget modulator landscapes
Article Snippet: In a recent report, we generated an ABCC1-focussing dataset comprising 1510 compounds which turned out to be an optimal virtual screening dataset due to its known multitarget hit rate of 23.5% and its non-substructure-based selection criteria ( Silbermann et al. , 2019 ).

Concentration Assay:

Article Title: Structural feature-driven pattern analysis for multitarget modulator landscapes
Article Snippet: In a recent report, we generated an ABCC1-focussing dataset comprising 1510 compounds which turned out to be an optimal virtual screening dataset due to its known multitarget hit rate of 23.5% and its non-substructure-based selection criteria ( Silbermann et al. , 2019 ).

Cytometry:

Article Title: Structural feature-driven pattern analysis for multitarget modulator landscapes
Article Snippet: In a recent report, we generated an ABCC1-focussing dataset comprising 1510 compounds which turned out to be an optimal virtual screening dataset due to its known multitarget hit rate of 23.5% and its non-substructure-based selection criteria ( Silbermann et al. , 2019 ).

Functional Assay:

Article Title: Structural feature-driven pattern analysis for multitarget modulator landscapes
Article Snippet: In a recent report, we generated an ABCC1-focussing dataset comprising 1510 compounds which turned out to be an optimal virtual screening dataset due to its known multitarget hit rate of 23.5% and its non-substructure-based selection criteria ( Silbermann et al. , 2019 ).



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MultiTarget Pharmaceuticals abcc1-focussing dataset
Abcc1 Focussing Dataset, supplied by MultiTarget Pharmaceuticals, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/abcc1-focussing+dataset/abcb1++abcc1++and+abcg2+inhibitors/pmc08826350-54-7-26
Average 90 stars, based on 1 article reviews
abcc1-focussing dataset - by Bioz Stars, 2026-09
90/100 stars
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