Results 131 to 140 of about 418,398 (323)
Application of Support Vector Machine in Prediction Secondary Structure Protein [PDF]
, 2019 Nahla Ibraheem Jabbar
openalex +1 more source
SNUPN‐Related Muscular Dystrophy: Novel Phenotypic, Pathological and Functional Protein Insights
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective SNUPN‐related muscular dystrophy or LGMDR29 is a new entity that covers from a congenital or childhood onset pure muscular dystrophy to more complex phenotypes combining neurodevelopmental features, cataracts, or spinocerebellar ataxia. So far, 12 different variants have been described.
Nuria Muelas +18 more
wiley +1 more source
Complete sequential assignment and secondary structure prediction of the cannulae forming protein CanA from the hyperthermophilic archaeon Pyrodictium abyssi [PDF]
, 2020 Raphael Kreitner +6 more
openalex +1 more source
Prediction of Secondary Protein Structure
, 2022 This project aims to show its readers an effort for the solution of the prediction problem of the protein secondary structure using deep residual neural networks and other methods. Proteins are one of the most vital components of every living being. They play a quite important role as they define the functions of an organism.
openaire +1 more source
Decreased Serum 5‐HT: Clinical Correlates and Regulatory Role in NMJ of MG
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Although 5‐Hydroxytryptamine (5‐HT) indirectly stimulates muscle contraction and participates in regulating Acetylcholine receptor (AChR) cluster homeostasis in cellular, animal, and clinical studies, evidence regarding its potential to modulate muscle contraction in myasthenia gravis (MG) remains limited.
Xinru Shen +18 more
wiley +1 more source
Frailty Exacerbates Disability in Progressive Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks +10 more
wiley +1 more source
Computational and Structural Biotechnology JournalNumerous sequence-based predictors of the amino acid (AA)-level solvent accessibility (SA) and secondary structure (SS) of proteins have been developed.
Jing Yu, Bi Zhao, Lukasz Kurgan
doaj +1 more source
Protein Secondary Structure Prediction Using Transformers [PDF]
Predicting protein secondary structures such as alpha helices, beta sheets, and coils from amino acid sequences is essential for understanding protein function. This work presents a transformer-based model that applies attention mechanisms to protein sequence data to predict structural motifs. A sliding-window data augmentation technique is used on the
Maxime, Manzi Kevin
openalex +3 more sources
DeepSS2GO: protein function prediction from secondary structure
Briefings in BioinformaticsPredicting protein function is crucial for understanding biological life processes, preventing diseases, and developing new drug targets. In recent years, methods based on sequence, structure, and biological networks for protein function annotation have been extensively researched.
Fu V Song +6 more
openaire +2 more sources
Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source