Use case: Identification of new targets for therapeutic indications
Challenges in the use case
The process of identifying targets for a disease is a time consuming, laborious process that involves the interrogation of several databases, the scientific literature, and collating and analyzing all the information in a manner that supports to make decisions on the association between a target and a disease. This process often requires bioinformatic and data mining expertise to be able to extract and integrate information from disparate resources. There is ample support that the use of genomic data in drug discovery programs increases the probability of success by at least 2-fold.
How DISGENET plus can help
DISGENET plus brings in a single platform information from authoritative resources in disease genomics plus up-to-date information from the literature, making possible the interrogation of several databases in a single click. In addition, it offers advanced tools for data prioritization and filtering. This can greatly facilitate the process of searching and prioritizing information on targets associated to diseases, speeding up the whole process of target identification.
Advantages of DISGENET plus
Up-to-date information from the literature to keep pace with latest findings in this area. The provenance of the information allows to inspect the details of particular findings, expediting the decision making process. Scoring tools enable to rank the most relevant information. The Disease Specificity Index can be used to prioritize targets that are more specific for a particular therapeutic indication.
