La Fundación ”la Caixa” organiza el jueves 27 de abril un Debate CaixaResearch que dará a conocer el estado de la investigación actual sobre la enfermedad de Párkinson.

Párkinson: una enfermedad sin cura, pero con tratamientos

Debate CaixaResearch

Jueves 27 de abril, a las 19 h

Streaming: Para apuntarse al streaming, es necesario rellenar el formulario siguiente, como muy tarde, una hora antes del inicio del debate:

https://caixaresearch.org/es/debates-caixaresearch-tratamientos-parkinson

Dr. Patrick Aloy, Institut for Research in Biomedicine (IRB Barcelona)

Thursday 16th February, 15.30h.

Location: Room IBB (Institut de Biotecnologia i Biomedicina)

Organized by *MSc in Bioinformatics*

Abstract:

Big Data analytical techniques and AI have the potential to transform drug discovery, as they are reshaping other areas of science and technology, but we need to blend biology and chemistry in a format that is amenable for modern machine learning. In this talk, I will present the Chemical Checker (CC), a resource that provides processed, harmonized and integrated bioactivity data on small molecules. The CC divides data into five levels of increasing complexity, ranging from the chemical properties of compounds to their clinical outcomes. In between, it considers targets, off-targets, perturbed biological networks and several cell-based assays such as gene expression, growth inhibition and morphological profiles. I will also present the Bioteque, a resource of unprecedented size and scope that contains pre-calculated biomedical embeddings around 11 biological entities (e.g. genes, cells, tissues, disease, etc), derived from a gigantic knowledge graph, so that each entity can be described considering different contexts (e.g. interactions, expression, etc).

With small molecule and biological bioactivity descriptors in hand, we now face a new scenario for chemical and biological entities where they both are translated into a common numerical format. In this computational framework, complex connections between entities can be unveiled by means of simple arithmetic operations. Indeed, we demonstrate and experimentally validate that these descriptors can be used to reverse and mimic biological signatures of disease models and genetic perturbations in vitro and in vivo, options that are otherwise impossible using chemical information alone.