In silico modeling laboratory

Computational genomics laboratory

In silico molecular modeling and computational genomics studies will be performed using the latest generation dedicated server for artificial intelligence, and a high-speed filing system.

Module CF1 will be engaged in the development of advanced computational methods utilizing machine learning algorithms, in particular deep learning, which will contribute to:

  • identification and validation of new therapeutic targets in the CNS,
  • design of prototype drugs,
  • planning of reaction pathways,
  • optimization of drug candidate efficacy, toxicity and ADME parameters,
  • prediction of the impact of gene polymorphisms of drug effects,
  • meta-analysis of clinical and omics data to uncover the etiology of CNS diseases.