Results 121 to 130 of about 2,744,502 (279)

CSF Cytokine Network Organization Predicts Progression Independent of Relapse and MRI Activity in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno   +19 more
wiley   +1 more source

Diffuse MRI Edema Predicts Relapse in Cerebral Amyloid Angiopathy–Related Inflammation

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify MRI predictors of relapse and quantify relapse and mortality risk in cerebral amyloid angiopathy–related inflammation (CAA‐RI). A secondary objective was to assess the association between mycophenolate mofetil use and relapse risk. Methods We performed a retrospective cohort study of 36 patients with CAA‐RI treated at the
G. Abbas Kharal   +10 more
wiley   +1 more source

Biophysical characteristics of NFkappaB-IkappaBalpha’s Intrinsically Disordered Regions [PDF]

open access: yes
In this study we will present a full biophysical characterization of the NFκB-IκBα tertiary complex with a focus on intrinsically disordered regions.
OLIVA, LUIS
core   +1 more source

Zero-shot segmentation using embeddings from a protein language model identifies functional regions in the human proteome.

open access: yesPLoS Computational Biology
The biological function of a protein is often determined by its distinct functional units, such as folded domains and intrinsically disordered regions.
Ami G Sangster   +5 more
doaj   +1 more source

A Scoping Review and Meta‐Analysis of Proportions of Central Nervous System Manifestations Reported in Patients with Sjögren's Disease

open access: yesArthritis Care &Research, EarlyView.
Objective The objective of this scoping review was to synthesize evidence on the proportion of individuals living with Sjögren's disease who experience central nervous system (CNS) manifestations. Methods We searched MEDLINE (via PubMed) and Embase from 1980 through January 29, 2026, and the ECRI Guidelines Trust from 2020 through January 29, 2026 ...
Arun Varadhachary   +21 more
wiley   +1 more source

Flexural Behavior of 3D‐Printed Porous Bouligand‐Structured Polymers: Influence of Pitch Angle and Porosity

open access: yesAdvanced Engineering Materials, EarlyView.
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil   +2 more
wiley   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

open access: yesAdvanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich   +3 more
wiley   +1 more source

Why do eukaryotic proteins contain more intrinsically disordered regions?

open access: yes, 2018
Intrinsic disorder is much more abundant in eukaryotic than in prokaryotic proteins. However, the reason behind this is unclear. It has been proposed that the disordered regions are functionally important for regulation in eukaryotes, but it has also ...
Claudio Bassot   +3 more
core   +1 more source

Modeling intrinsically disordered regions from AlphaFold2 to AlphaFold3

open access: yesProtein Science
Abstract AlphaFold2 has demonstrated a remarkable success in predicting the structures of globular proteins and folded domains with near‐experimental accuracy. However, it typically represents intrinsically disordered regions (IDRs), protein segments that lack a stable 3D structure under physiological conditions, as long extended ...
Mahta Mehdiabadi   +2 more
openaire   +2 more sources

Deep learning tools predict variants in disordered regions with lower sensitivity

open access: yesBMC Genomics
Background The recent AI breakthrough of AlphaFold2 has revolutionized 3D protein structural modeling, proving crucial for protein design and variant effects prediction.
Federica Luppino   +3 more
doaj   +1 more source

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