AIMC Topic: Caspases

Clear Filters Showing 1 to 10 of 16 articles

Protein model accuracy estimation empowered by deep learning and inter-residue distance prediction in CASP14.

Scientific reports May 25, 2021
The inter-residue contact prediction and deep learning showed the promise to improve the estimation of protein model accuracy (EMA) in the 13th Critical Assessment of Protein Structure Prediction (CASP13). To further leverage the improved inter-resid...
Deep Learning Computational Biology Models, Molecular Caspases Protein Conformation
View on PubMed DOI

CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction.

Nature communications May 5, 2021
Residue co-evolution has become the primary principle for estimating inter-residue distances of a protein, which are crucially important for predicting protein structure. Most existing approaches adopt an indirect strategy, i.e., inferring residue co...
Models, Molecular Mutation Caspases Sequence Alignment Machine Learning Computational Biology Proteins Humans Neural Networks, Computer Protein Structure, Tertiary
View on PubMed DOI

Analyzing effect of quadruple multiple sequence alignments on deep learning based protein inter-residue distance prediction.

Scientific reports Apr 7, 2021
Protein 3D structure prediction has advanced significantly in recent years due to improving contact prediction accuracy. This improvement has been largely due to deep learning approaches that predict inter-residue contacts and, more recently, distanc...
Neural Networks, Computer Deep Learning Proteins Protein Structure, Tertiary Models, Molecular Sequence Analysis, Protein Caspases Protein Interaction Domains and Motifs Sequence Alignment
View on PubMed DOI

Improved protein structure refinement guided by deep learning based accuracy estimation.

Nature communications Feb 26, 2021
We develop a deep learning framework (DeepAccNet) that estimates per-residue accuracy and residue-residue distance signed error in protein models and uses these predictions to guide Rosetta protein structure refinement. The network uses 3D convolutio...
Computational Biology Proteins Models, Molecular Protein Conformation Models, Biological Caspases Software Algorithms Deep Learning
View on PubMed DOI

[A giant step towards elucidating the function of proteins].

Medecine sciences : M/S Feb 16, 2021
Caspases X-Ray Diffraction Caspase 1 Algorithms Deep Learning Proteins Crystallography Protein Folding Protein Structure, Tertiary Myoglobin Artificial Intelligence
View on PubMed DOI

Myricitrin inhibits vascular endothelial growth factor-induced angiogenesis of human umbilical vein endothelial cells and mice.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Sep 17, 2020
In the present study, the protective effects of myricitrin against vascular endothelial growth factor (VEGF)-induced angiogenesis of vascular endothelial cells were characterized. Cells were induced with 50 ng/mL VEGF in the presence or absence of va...
Neovascularization, Physiologic Vascular Endothelial Growth Factors Disease Models, Animal Cell Line, Tumor Xenograft Model Antitumor Assays Humans Apoptosis Mice Biomarkers Angiogenesis Inhibitors Human Umbilical Vein Endothelial Cells Flavonoids Matrix Metalloproteinases Animals Caspases Neovascularization, Pathologic
View on PubMed DOI

Improved protein structure prediction using potentials from deep learning.

Nature Jan 15, 2020
Protein structure prediction can be used to determine the three-dimensional shape of a protein from its amino acid sequence. This problem is of fundamental importance as the structure of a protein largely determines its function; however, protein str...
Datasets as Topic Protein Conformation Protein Folding Software Deep Learning Amino Acid Sequence Caspases Proteins Models, Molecular
View on PubMed DOI

CaspNeuroD: a knowledgebase of predicted caspase cleavage sites in human proteins related to neurodegenerative diseases.

Database : the journal of biological databases and curation Dec 26, 2016
BACKGROUND: A variety of neurodegenerative diseases (NDs) have been associated with deregulated caspase activation that leads to neuronal death. Caspases appear to be involved in the molecular pathology of NDs by directly cleaving important proteins....
Caspases Databases, Protein Nerve Tissue Proteins Neurodegenerative Diseases Humans Machine Learning Polymorphism, Single Nucleotide
View on PubMed DOI

Anticancer activity of biologically synthesized silver and gold nanoparticles on mouse myoblast cancer cells and their toxicity against embryonic zebrafish.

Materials science & engineering. C, Materials for biological applications Dec 23, 2016
The aim of this study was to evaluate the anticancer activity of bioinspired silver nanoparticles (AgNPs) and gold nanoparticles (AuNPs) against mouse myoblast cancer cells (CC). Both AgNPs and AuNPs were biologically synthesized using Spinacia olera...
X-Ray Diffraction Embryo, Nonmammalian Acridine Orange Animals Photoacoustic Techniques Antineoplastic Agents Spinacia oleracea Cell Line, Tumor Caspases Cell Shape Metal Nanoparticles Myoblasts Ethidium Apoptosis Silver Toxicity Tests Mice Plant Leaves Cell Survival Zebrafish Staining and Labeling Gold Plant Extracts
View on PubMed DOI

AI-based Apoptosis Cell Classification Using Phase-contrast Images of K562 Cells.

Anticancer research Mar 1, 2024
BACKGROUND/AIM: This study aimed to automate the classification of cells, particularly in identifying apoptosis, using artificial intelligence (AI) in conjunction with phase-contrast microscopy. The objective was to reduce reliance on manual observat...
Apoptosis Caspases K562 Cells Microscopy, Phase-Contrast Humans Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals