Autor: "Trapotsi MA" - OpacWWW

Skocz do pozycji: 1.

Tytuł:: Merging bioactivity predictions from cell morphology and chemical fingerprint models using similarity to training data.
Autorzy:: Seal S; Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Yang H; Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Trapotsi MA; Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.
Singh S; Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, Cambridge, UK.
Carreras-Puigvert J; Department of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Spjuth O; Department of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden. .
Bender A; Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK. .; Pokaż więcej
Źródło:: Journal of cheminformatics [J Cheminform] 2023 Jun 02; Vol. 15 (1), pp. 56. Date of Electronic Publication: 2023 Jun 02.
Typ publikacji:: Journal Article

Czasopismo naukowe

Skocz do pozycji: 2.

Tytuł:: Integrating cell morphology with gene expression and chemical structure to aid mitochondrial toxicity detection.
Autorzy:: Seal S; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge, CB2 1EW, UK.
Carreras-Puigvert J; Department of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, Box 591, SE-75124, Uppsala, Sweden.
Trapotsi MA; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge, CB2 1EW, UK.
Yang H; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge, CB2 1EW, UK.
Spjuth O; Department of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, Box 591, SE-75124, Uppsala, Sweden. .
Bender A; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Rd, Cambridge, CB2 1EW, UK. .; Pokaż więcej
Źródło:: Communications biology [Commun Biol] 2022 Aug 23; Vol. 5 (1), pp. 858. Date of Electronic Publication: 2022 Aug 23.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:: Biological Assay*
Drug Discovery*/methods
Gene Expression

Czasopismo naukowe

Skocz do pozycji: 3.

Tytuł:: Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertainty.
Autorzy:: Mervin LH; Molecular AI, Discovery Sciences, R&D, AstraZeneca, Cambridge, UK. .
Trapotsi MA; Department of Chemistry, Centre for Molecular Informatics, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK.
Afzal AM; Data Sciences & Quantitative Biology, Discovery Sciences, R&D, AstraZeneca, Cambridge, UK.
Barrett IP; Data Sciences & Quantitative Biology, Discovery Sciences, R&D, AstraZeneca, Cambridge, UK.
Bender A; Department of Chemistry, Centre for Molecular Informatics, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK.
Engkvist O; Molecular AI, Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden.; Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden.; Pokaż więcej
Źródło:: Journal of cheminformatics [J Cheminform] 2021 Aug 19; Vol. 13 (1), pp. 62. Date of Electronic Publication: 2021 Aug 19.
Typ publikacji:: Journal Article

Czasopismo naukowe

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