Results 121 to 130 of about 66,315 (318)
Phase Separation Studies of Complexes of Intrinsically Disordered Protein Tau and Anionic Liposomes [PDF]
Christine Tchounwou +5 more
openalex +1 more source
Deciphering the 'fuzzy' interaction of FG nucleoporins and transport factors using SANS
The largely intrinsically disordered phenylalanine-glycine-rich nucleoporins (FG Nups) underline a selectivity mechanism, which enables the rapid translocation of transport factors (TFs) through the nuclear pore complexes (NPCs).
Cowburn, David +3 more
core +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...
Chenxiao Chu +14 more
wiley +1 more source
CHARMM36m: An improved force field for folded and intrinsically disordered proteins.
The all-atom additive CHARMM36 protein force field is widely used in molecular modeling and simulations. We present its refinement, CHARMM36m (http://mackerell.umaryland.edu/charmm_ff.shtml), with improved accuracy in generating polypeptide backbone ...
de Groot, B. +7 more
core +1 more source
The Prediction of Intrinsically Disordered Proteins Based on Feature Selection
Intrinsically disordered proteins perform a variety of important biological functions, which makes their accurate prediction useful for a wide range of applications.
Hao He, Jiaxiang Zhao, Guiling Sun
doaj +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Many proteins which sense membrane curvature contain intrinsically disordered domains. Here the authors use Monte Carlo simulations combined with experimental approaches and report that disordered domains are potent sensors of membrane curvature.
Wade F. Zeno +7 more
doaj +1 more source
How Do Intrinsically Disordered Viral Proteins Hijack the Cell? [PDF]
H. Jane Dyson, Peter E. Wright
openalex +1 more source

