Disease modeling and target identification are the most crucial initial steps in drug
discovery, and influence the probability of success at every step of drug development …

The remarkable flexibility and adaptability of ensemble methods and deep learning models
have led to the proliferation of their application in bioinformatics research. Traditionally …

Idiopathic pulmonary fibrosis (IPF) is an aggressive interstitial lung disease with a high
mortality rate. Putative drug targets in IPF have failed to translate into effective therapies at …

Generative models are becoming a tool of choice for exploring the molecular space. These
models learn on a large training dataset and produce novel molecular structures with similar …

Amyotrophic lateral sclerosis (ALS) is a severe neurodegenerative disease with ill-defined
pathogenesis, calling for urgent developments of new therapeutic regimens. Herein, we …

The applications of modern artificial intelligence (AI) algorithms within the field of aging
research offer tremendous opportunities. Aging is an almost universal unifying feature …

Aging biology is a promising and burgeoning research area that can yield dual-purpose
pathways and protein targets that may impact multiple diseases, while retarding or possibly …

COX7A1, a subunit of cytochrome c oxidase, holds an important position in the super-
assembly which integrates into multi-unit heteromeric complexes peripherally in the …

PandaOmics is a cloud-based software platform that applies artificial intelligence and
bioinformatics techniques to multimodal omics and biomedical text data for therapeutic …

While many efforts have been made to pave the way toward human space colonization, little
consideration has been given to the methods of protecting spacefarers against harsh cosmic …