Given the high attrition rates, substantial costs and slow pace of new drug discovery and
development, repurposing of'old'drugs to treat both common and rare diseases is …

Machine learning, a collection of data-analytical techniques aimed at building predictive
models from multi-dimensional datasets, is becoming integral to modern biological research …

Much of the complexity within cells arises from functional and regulatory interactions among
proteins. The core of these interactions is increasingly known, but novel interactions …

Cellular life depends on a complex web of functional associations between biomolecules.
Among these associations, protein–protein interactions are particularly important due to their …

Omics techniques generate large, multidimensional data that are amenable to analysis by
new informatics approaches alongside conventional statistical methods. Systems theories …

New technologies have enabled the investigation of biology and human health at an
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …

Gene co-expression networks can be used to associate genes of unknown function with
biological processes, to prioritize candidate disease genes or to discern transcriptional …

Motivation Understanding functions of proteins in specific human tissues is essential for
insights into disease diagnostics and therapeutics, yet prediction of tissue-specific cellular …

Abstract The Biological General Repository for Interaction Datasets (BioGRID:
https://thebiogrid. org) is an open access database dedicated to the annotation and archival …

Advances in the biological sciences have led to an ongoing paradigm shift in toxicity testing
based on expanded application of high-throughput in vitro screening and in silico methods …