Published in Nature Communications
Scientists from the Structural Bioinformatics and Network Biology laboratory, led by ICREA researcher Dr. Patrick Aloy, have developed a computational tool called Bioteque that seeks to integrate and harmonise the vast amount of biological data available. The tool considers relationships between 12 biological entities and generates descriptors using artificial intelligence algorithms to capture different levels of functional complexity.
The Bioteque, which includes over 30 million functional interactions, is based on a knowledge graph that provides information on how biological entities are related to each other. The tool works by integrating different levels of biological complexity, making it possible to predict, for example, the sensitivity or resistance of a given cell to a specific drug.
The researchers worked with information from 150 databases and integrated it into a single language. They then converted that knowledge into numerical descriptors that could be interpreted by algorithms. The computational tool was published in the journal Nature Communications. The Bioteque is in open access.