The traditional computational modeling of protein structure, dynamics, and interactions
remains difficult for many protein systems. It is mostly due to the size of protein …

Intrinsically disordered proteins (IDPs) are unable to adopt a unique 3D structure under
physiological conditions and thus exist as highly dynamic conformational ensembles. IDPs …

Identification of intrinsic disorder in proteins relies in large part on computational predictors,
which demands that their accuracy should be high. Since intrinsic disorder carries out a …

Gene expression is controlled by transcription factors (TFs) that consist of DNA-binding
domains (DBDs) and activation domains (ADs). The DBDs have been well characterized …

Molecular communication in biology is mediated by protein interactions. According to the
current paradigm, the specificity and affinity required for these interactions are encoded in …

Transcription factors (TFs) that bind common DNA motifs in vitro occupy distinct sets of
promoters in vivo, raising the question of how binding specificity is achieved. TFs are …

Protein intrinsic disorder is found in all kingdoms of life and is known to underpin numerous
physiological and pathological processes. Computational methods play an important role in …

I‐TASSER is a hierarchical protocol for automated protein structure prediction and structure‐
based function annotation. Starting from the amino acid sequence of target proteins, I …

Following Alzheimer's, Parkinson's disease (PD) is the second-most common
neurodegenerative disorder, sharing an unclear pathophysiology, a multifactorial profile …

Proteins and synthetic polymers that undergo aqueous phase transitions mediate self-
assembly in nature and in man-made material systems. Yet little is known about how the …