AIMC Topic: Amyloidogenic Proteins

Clear Filters Showing 1 to 9 of 9 articles

AmorProt: Amino Acid Molecular Fingerprints Repurposing-Based Protein Fingerprint.

Biochemistry Aug 25, 2023
As protein therapeutics play an important role in almost all medical fields, numerous studies have been conducted on proteins using artificial intelligence. Artificial intelligence has enabled data-driven predictions without the need for expensive ex...
Amyloidogenic Proteins Artificial Intelligence Algorithms Amino Acids Peptide Mapping
View on PubMed DOI

Rational design of functional amyloid fibrillar assemblies.

Chemical Society reviews Jul 17, 2023
Amyloid fibrillar assemblies, originally identified as pathological entities in neurodegenerative diseases, have been widely adopted by various proteins to fulfill diverse biological functions in living organisms. Due to their unique features, such a...
Amyloid Amyloidogenic Proteins Artificial Intelligence
View on PubMed DOI

Mapping the association between tau-PET and Aβ-amyloid-PET using deep learning.

Scientific reports Aug 30, 2022
In Alzheimer's disease, the molecular pathogenesis of the extracellular Aβ-amyloid (Aβ) instigation of intracellular tau accumulation is poorly understood. We employed a high-resolution PET scanner, with low detection thresholds, to examine the Aβ-ta...
Cognitive Dysfunction Amyloid beta-Peptides Tomography, X-Ray Computed Deep Learning Amyloid Amyloidosis tau Proteins Alzheimer Disease Positron-Emission Tomography Humans Brain Amyloidogenic Proteins
View on PubMed DOI

MILAMP: Multiple Instance Prediction of Amyloid Proteins.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
Amyloid proteins are implicated in several diseases such as Parkinson's, Alzheimer's, prion diseases, etc. In order to characterize the amyloidogenicity of a given protein, it is important to locate the amyloid forming hotspot regions within the prot...
Sequence Analysis, Protein Amyloidogenic Proteins Computational Biology Databases, Protein Humans Machine Learning
View on PubMed DOI

PredAmyl-MLP: Prediction of Amyloid Proteins Using Multilayer Perceptron.

Computational and mathematical methods in medicine Nov 20, 2020
Amyloid is generally an aggregate of insoluble fibrin; its abnormal deposition is the pathogenic mechanism of various diseases, such as Alzheimer's disease and type II diabetes. Therefore, accurately identifying amyloid is necessary to understand its...
Humans Neural Networks, Computer Machine Learning Computational Biology Algorithms Amino Acids Mathematical Concepts Support Vector Machine Diabetes Mellitus, Type 2 Amino Acid Sequence Amyloidogenic Proteins Alzheimer Disease
View on PubMed DOI

The Classifying Autoencoder: Gaining Insight into Amyloid Assembly of Peptides and Proteins.

The journal of physical chemistry. B Jun 13, 2019
Despite the importance of amyloid formation in disease pathology, the understanding of the primary structure?activity relationship for amyloid-forming peptides remains elusive. Here we use a new neural-network based method of analysis: the classifyin...
Amyloidogenic Proteins Protein Aggregates Dimerization Amyloid Databases, Factual Hydrophobic and Hydrophilic Interactions Machine Learning Peptides Amino Acids
View on PubMed DOI

RFAmyloid: A Web Server for Predicting Amyloid Proteins.

International journal of molecular sciences Jul 16, 2018
Amyloid is an insoluble fibrous protein and its mis-aggregation can lead to some diseases, such as Alzheimer's disease and Creutzfeldt⁻Jakob's disease. Therefore, the identification of amyloid is essential for the discovery and understanding of disea...
Internet Algorithms Sequence Analysis, Protein Reproducibility of Results Support Vector Machine Computational Biology Databases, Protein Amyloidogenic Proteins
View on PubMed DOI

Prediction of Peptide and Protein Propensity for Amyloid Formation.

PloS one Aug 4, 2015
Understanding which peptides and proteins have the potential to undergo amyloid formation and what driving forces are responsible for amyloid-like fiber formation and stabilization remains limited. This is mainly because proteins that can undergo str...
Amyloidogenic Proteins Amyloid Neural Networks, Computer Protein Structure, Secondary Amino Acid Sequence
View on PubMed DOI

Synthesizing images of tau pathology from cross-modal neuroimaging using deep learning.

Brain : a journal of neurology Mar 1, 2024
Given the prevalence of dementia and the development of pathology-specific disease-modifying therapies, high-value biomarker strategies to inform medical decision-making are critical. In vivo tau-PET is an ideal target as a biomarker for Alzheimer's ...
Artificial Intelligence Biomarkers Humans Neuroimaging Amyloidogenic Proteins Tauopathies Deep Learning Fluorodeoxyglucose F18
View on PubMed DOI
Popular Topics
Recent Journals