(#Under maintenance) Your AI-powered assistant for food science research

Data resources on food-risk components

Artificial intelligence in smart seafood safety across the supply chains

Elimination of deoxynivalenol (DON) via microbial and enzymatic strategies

Advancements in machine learning for exploring food flavour complexity

Data-driven elucidation of flavor chemistry

Enhanced deep learning model for carbon footprints of chemicals

Positive Unlabeled learning-based enzyme promiscuity prediction

High-throughput prediction of enzyme promiscuity based on substrate–product pairs

Coassembly of hybrid microscale biomaterials for robust and sustainable bioplastics

A comprehensive food risk component database with scaffold analysis tool

Screening potential illegal additives using molecular fingerprints and similarity

A comprehensive bioinformatics knowledge-base for food additive chemicals

A data-driven integrative platform for prediction of toxin biotransformation

Predicting chemical's activities to stimulate muscle growth via β2-adrenoceptor

A data-driven platform for investigating masked forms of mycotoxins

An AI-driven platform for next-gen sweetener discovery

Analysis of public opinion on food safety with big data and machine learning

Mapping research landscape on synthetic biology with text mining

Data-driven prediction of molecular biotransformations in food fermentation