Method of prediction of the phenotypic effects of molecular agents with therapeutic potential through their interaction with biological targets.

We offer a method that allows us to predict in advance the effects that a drug or therapeutic compound may cause in the body, both beneficial and secondary or adverse. To do this, the system analyzes large networks of information that relate molecules, proteins, genes, diseases and symptoms. From these connections, the method identifies what effects might appear when an agent interacts with certain biological targets, thus offering a useful tool to help understand and anticipate the behavior of a drug before conducting complex trials.

This method reduces costs and time in the development of new drugs by predicting possible side effects in advance, limiting and focusing subsequent experimental and clinical trials. It increases safety by allowing possible risks to be anticipated, and also helps to discover new therapeutic applications of already known drugs. In addition, it provides useful information on the biological mechanisms involved, which facilitates decision-making in research and development.