New AI tech reduces research bottlenecks

Source: Outsourcing

Antonio Sze-To, research associate at the University of Waterloo and co-inventor of P2K told us that the platform was developed to predict interacting sites between bio-sequences without 3D structures, making it an economical and efficient option for preclinical research.

Sze-To said,“Biosequence interaction is important since it reveals cell fate and the molecular basis of diseases .” Identifying the interacting sites between bio-sequences was traditionally a time-consuming and expensive process involving extensive wet-lab experiments.

read more..

This article highlights the scope for developing therapeutics with new innovative, alternative approaches. The current trillion dollars pharmaceutical industry is in peril where the current drug development pipeline is slow, inefficient and incapable of being extended to multi-combination drug therapies as well as minimally focused on prevention. The complex modeling of diseases and biological functions has been limited because of the inability to integrate large scale molecular pathways.

Watch this Video to understand how recent advances provide breakthrough technology for doing scalable modeling of complex molecular systems to dramatically accelerate drug discovery and development.

Cytosolve On Twitter