Aravind Venkatesan

The paper introduces a framework for extracting biological evidence from literature to aid drug discovery, identifying millions of associations between targets, diseases, and drugs.

The paper introduces a human-annotated full-text corpus for biomedical entities, including genes, proteins, diseases, and organisms, to support deep learning approaches in NLP.

The paper assesses the value and sustainability of ELIXIR Core Data Resources, showing their critical role in preserving biological data and highlighting funding challenges.

The paper introduces AgroLD, a knowledge-based system integrating omics data from plant species to enable integrative biology research in agronomy.