A platform configured to predict type or family of an unknown drug candidate compound, the platform including: a living cell or a tissue; a detector that measures an indicator of a cellular response by the living cell or tissue upon exposure to the unknown drug candidate compound; a memory configured to store data related to the indicator of the cellular response detected by the detector from a library of drug types and/or families; and one or more processing unit(s) configured to: process the data related to the indicator of the cellular response of the living cell or tissue upon exposure to the unknown drug candidate compound, and compare cellular response data from the library of drug types and/or families, so that a drug type and/or a drug family and/or a mechanism of action of the unknown drug candidate compound can be predicted on the basis of a similarity between the detected cellular response data of the unknown drug candidate compound and the cellular response data of the library of drug types and/or families. Also disclosed are methods of screening an unknown drug, including: comparing the data measured from a test cell to corresponding cellular response data in a library of known drug types, and determining a relationship between the unknown drug and a known drug type or a known drug family to predict the type or family of the unknown drug.

A platform configured to predict type or family of an unknown drug candidate compound, the platform including: a living cell or a tissue; a detector that measures an indicator of a cellular response by the living cell or tissue upon exposure to the unknown drug candidate compound; a memory configured to store data related to the indicator of the cellular response detected by the detector from a library of drug types and/or families; and one or more processing unit(s) configured to: process the data related to the indicator of the cellular response of the living cell or tissue upon exposure to the unknown drug candidate compound, and compare cellular response data from the library of drug types and/or families, so that a drug type and/or a drug family and/or a mechanism of action of the unknown drug candidate compound can be predicted on the basis of a similarity between the detected cellular response data of the unknown drug candidate compound and the cellular response data of the library of drug types and/or families. Also disclosed are methods of screening an unknown drug, including: comparing the data measured from a test cell to corresponding cellular response data in a library of known drug types, and determining a relationship between the unknown drug and a known drug type or a known drug family to predict the type or family of the unknown drug.

The computer-implemented fragrance or flavour composition method (300), comprises: a step (305) of defining, upon a computer interface, a value representative of a sustainability impact digital index or of an aggregate sustainability impact digital indicator validity threshold for at least one fragrance or flavour ingredient in the fragrance or flavour composition, said fragrance or flavour ingredient being associated to a fragrance or flavour ingredient digital identifier, or to a fragrance or flavour composition digital identifier, a step (310) of selecting, upon a computer interface, at least one fragrance or flavour ingredient digital identifier, a step (315) of retrieval, by a computing device, from a fragrance or flavour ingredient physical parameter database of a sustainability impact digital index or of an aggregate sustainability impact digital indicator as a function of at least one said fragrance or flavour ingredient digital identifier, a step (320) of comparing, by a computing device, as a function of at least one selected fragrance or flavour ingredient digital identifier, a sustainability impact digital index or of an aggregate sustainability impact digital indicator retrieved to the validity threshold defined and a step (325) of providing, upon a computer interface, an indicator representative of the result of the step of comparing.

The computer-implemented fragrance or flavour composition method (300), comprises: a step (305) of defining, upon a computer interface, a value representative of a sustainability impact digital index or of an aggregate sustainability impact digital indicator validity threshold for at least one fragrance or flavour ingredient in the fragrance or flavour composition, said fragrance or flavour ingredient being associated to a fragrance or flavour ingredient digital identifier, or to a fragrance or flavour composition digital identifier, a step (310) of selecting, upon a computer interface, at least one fragrance or flavour ingredient digital identifier, a step (315) of retrieval, by a computing device, from a fragrance or flavour ingredient physical parameter database of a sustainability impact digital index or of an aggregate sustainability impact digital indicator as a function of at least one said fragrance or flavour ingredient digital identifier, a step (320) of comparing, by a computing device, as a function of at least one selected fragrance or flavour ingredient digital identifier, a sustainability impact digital index or of an aggregate sustainability impact digital indicator retrieved to the validity threshold defined and a step (325) of providing, upon a computer interface, an indicator representative of the result of the step of comparing.