The role of computational tools in drug discovery and development is becoming increasingly
important due to the rapid development of computing power and advancements in …

The categorization of human diseases is mainly based on the affected organ system and
phenotypic characteristics. This is limiting the view to the pathological manifestations, while …

The drug discovery pipelines require enormous time and cost, albeit their infamously high
risk of failures. Reducing such risk has therefore been the utmost goal in the process …

More than half of all drug clinical trials fail due to lack of efficacy, highlighting gaps in our
understanding of disease-target relationships. While it is widely believed that scientific …

The limited amount of data available renders it challenging to characterize which biological
processes are relevant to a rare disease. Hence, there is a need to leverage the knowledge …