Pau Badia-i-Mompel

TL;DR: In this article , the authors provide clinical, histopathological, molecular and bioinformatic evidence for the hepatic tropism of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) showing tropism towards several organs, including the heart and kidney.

TL;DR: In this paper, a collection of deep neural networks are used to infer bioactivity signatures for any compound of interest, even when little or no experimental information is available for them, which can be used as drop-in replacements for chemical descriptors in day-to-day chemoinformatics tasks.

TL;DR: PANACEA (PANcancer Analysis of Chemical Entity Activity) as mentioned in this paper is a collection of dose-response curves and perturbational profiles for 400 clinical oncology drugs in cell lines selected to optimally represent 19 cancer subtypes.

TL;DR: This work implements a battery of signature-activity relationship (SigAR) models and shows a substantial improvement in performance, with respect to chemistry-based classifiers, across a series of biophysics and physiology activity prediction benchmarks.

TL;DR: An online resource, based on small-molecule bioactivity signatures and natural language processing, to expand the portfolio of compounds with potential to treat COVID-19 by comparing the set of drugs reported to be potentially active against SARS-CoV-2 to a universe of 1 million bioactive molecules.