Objective Accurate prediction of treatment responses in rheumatoid arthritis ( RA ) patients
can provide valuable information on effective drug selection. Anti–tumor necrosis factor (anti‐ …

Motivation: G protein-coupled receptors (GPCRs) are probably the most attractive drug target
membrane proteins, which constitute nearly half of drug targets in the contemporary drug …

We tested two pipelines developed for template‐free protein structure prediction in the
CASP11 experiment. First, the QUARK pipeline constructs structure models by reassembling …

Tumor DNA sequencing data can be interpreted by computational methods that analyze
genomic heterogeneity to infer evolutionary dynamics. A growing number of studies have used …

Spinocerebellar ataxia Type 3 (SCA3), the most common dominantly inherited ataxia, is a
polyglutamine neurodegenerative disease for which there is no disease-modifying therapy. …

We report the structure prediction results of a new composite pipeline for template‐based
modeling (TBM) in the 11th CASP experiment. Starting from multiple structure templates …

Autism spectrum disorder (ASD) is a neuropsychiatric disorder with strong evidence of genetic
contribution, and increased research efforts have resulted in an ever-growing list of ASD …

Phylogenetic inference is of fundamental importance to evolutionary as well as other fields
of biology, and molecular sequences have emerged as the primary data for this task. …

Dissecting tumor heterogeneity is a key to understanding the complex mechanisms
underlying drug resistance in cancers. The rich literature of pioneering studies on tumor …

The accurate identification and quantitation of RNA isoforms present in the cancer
transcriptome is key for analyses ranging from the inference of the impacts of somatic variants to …