AIMC Topic: Caspases

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ZoomQA: residue-level protein model accuracy estimation with machine learning on sequential and 3D structural features.

Briefings in bioinformatics Jan 17, 2022
MOTIVATION: The Estimation of Model Accuracy problem is a cornerstone problem in the field of Bioinformatics. As of CASP14, there are 79 global QA methods, and a minority of 39 residue-level QA methods with very few of them working on protein complex...
Humans Machine Learning COVID-19 SARS-CoV-2 Models, Molecular Caspases Viral Proteins Protein Structure, Tertiary Sequence Analysis, Protein Protein Structure, Quaternary
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'It will change everything': DeepMind's AI makes gigantic leap in solving protein structures.

Nature Dec 1, 2020
Deep Learning Time Factors Proteins Models, Molecular Caspases Crystallography, X-Ray Protein Conformation
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DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites.

Bioinformatics (Oxford, England) Feb 15, 2020
MOTIVATION: Proteases are enzymes that cleave target substrate proteins by catalyzing the hydrolysis of peptide bonds between specific amino acids. While the functional proteolysis regulated by proteases plays a central role in the 'life and death' c...
Software Deep Learning Caspases Substrate Specificity Metalloproteases
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DNCON2: improved protein contact prediction using two-level deep convolutional neural networks.

Bioinformatics (Oxford, England) May 1, 2018
MOTIVATION: Significant improvements in the prediction of protein residue-residue contacts are observed in the recent years. These contacts, predicted using a variety of coevolution-based and machine learning methods, are the key contributors to the ...
Neural Networks, Computer Machine Learning Computational Biology Caspases Protein Conformation Sequence Analysis, Protein
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Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks.

Bioinformatics (Oxford, England) Mar 1, 2017
MOTIVATION: Capturing long-range interactions between structural but not sequence neighbors of proteins is a long-standing challenging problem in bioinformatics. Recently, long short-term memory (LSTM) networks have significantly improved the accurac...
Neural Networks, Computer Machine Learning Algorithms Computational Biology Proteins Caspases Protein Conformation Genetic Diseases, Inborn
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[Sensitization of human colon cancer HT-29 cells to TRAIL-induced apoptosis by gambognic acid].

Yao xue xue bao = Acta pharmaceutica Sinica Oct 1, 2015
To investigate the effects of gambognic acid (GA) on TRAIL-induced apoptosis of cancer cells, human colon HT-29 cancer cells were treated with GA to promote apoptosis. Inhibition of the cell proliferation was measured with MTT assay and cell apoptosi...
Humans Cell Line, Tumor Cell Proliferation Apoptosis Reactive Oxygen Species Colonic Neoplasms Xanthones Caspases Down-Regulation Up-Regulation HT29 Cells Apoptosis Regulatory Proteins TNF-Related Apoptosis-Inducing Ligand
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