Object With the development of deep learning, the number of training samples for medical
image-based diagnosis and treatment models is increasing. Generative Adversarial …

Despite the fact that deep learning has achieved remarkable success in various domains
over the past decade, its application in molecular informatics and drug discovery is still …

Target discovery is one of the essential steps in modern drug development, and the
identification of promising targets is fundamental for develo** first-in-class drug. A variety …

COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …

Abstract Knowledge of therapeutic targets and early drug candidates is useful for improved
drug discovery. In particular, information about target regulators and the patented …

IgA nephropathy (IgAN) is a progressive form of kidney disease defined by glomerular
deposition of IgA. Here we performed a genome-wide association study of 10,146 kidney …

Drug combinations, offering increased therapeutic efficacy and reduced toxicity, play an
important role in treating multiple complex diseases. Yet, our ability to identify and validate …

The efficacy and safety of drugs are widely known to be determined by their interactions with
multiple molecules of pharmacological importance, and it is therefore essential to …

Mass spectrometry-based proteomic technique has become indispensable in current
exploration of complex and dynamic biological processes. Instrument development has …

Here we identify hundreds of new drug-disease associations for over 900 FDA-approved
drugs by quantifying the network proximity of disease genes and drug targets in the human …