AIMC Topic: Tumor Suppressor Protein p53

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Artificial Intelligence Approach to Find Lead Compounds for Treating Tumors.

The journal of physical chemistry letters Jul 22, 2019
It has been demonstrated that MMP13 enzyme is related to most cancer cell tumors. The world's largest traditional Chinese medicine database was applied to screen for structure-based drug design and ligand-based drug design. To predict drug activity, ...
Drug Design Antineoplastic Agents Deep Learning Cyclin-Dependent Kinase Inhibitor p16 Proteins Machine Learning Algorithms Peptides Tumor Suppressor Protein p53 Binding Sites Proto-Oncogene Proteins c-mdm2 Cyclin-Dependent Kinase 6 Databases, Pharmaceutical Matrix Metalloproteinase 13 Databases, Protein Models, Molecular Mutation Ligands Proto-Oncogene Proteins c-bcl-2
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Analysis of the Deleterious Single Nucleotide Polymorphisms Impact on Estrogen Receptor Alpha-p53 Interaction: A Machine Learning Approach.

International journal of molecular sciences Jun 18, 2019
Breast cancer is a leading cancer type and one of the major health issues faced by women around the world. Some of its major risk factors include body mass index, hormone replacement therapy, family history and germline mutations. Of these risk facto...
Estrogen Receptor alpha Protein Interaction Domains and Motifs Neural Networks, Computer Machine Learning Molecular Docking Simulation Protein Binding Polymorphism, Single Nucleotide Humans Molecular Dynamics Simulation Computational Biology Tumor Suppressor Protein p53 Structure-Activity Relationship Protein Conformation Mutation
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Setting Up a Surface-Enhanced Raman Scattering Database for Artificial-Intelligence-Based Label-Free Discrimination of Tumor Suppressor Genes.

Analytical chemistry Dec 4, 2018
The quality of input data in deep learning is tightly associated with the ultimate performance of the machine learner. Taking advantage of the unique merits of surface-enhanced Raman scattering (SERS) methodology in the collection and construction of...
Artificial Intelligence Databases, Factual Tumor Suppressor Proteins Silicon Lab-On-A-Chip Devices Spectrum Analysis, Raman DNA Metal Nanoparticles Silver Tumor Suppressor Protein p53
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iSEE: Interface structure, evolution, and energy-based machine learning predictor of binding affinity changes upon mutations.

Proteins Dec 3, 2018
Quantitative evaluation of binding affinity changes upon mutations is crucial for protein engineering and drug design. Machine learning-based methods are gaining increasing momentum in this field. Due to the limited number of experimental data, using...
Machine Learning Protein Binding Computational Biology Tumor Suppressor Protein p53 Thermodynamics Evolution, Molecular Binding, Competitive Proteins Proto-Oncogene Proteins c-mdm2 Models, Molecular Mutation Protein Domains
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Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning.

IEEE/ACM transactions on computational biology and bioinformatics Apr 26, 2018
Control of gene regulatory networks (GRNs) to shift gene expression from undesirable states to desirable ones has received much attention in recent years. Most of the existing methods assume that the cost of intervention at each state and time point,...
Tumor Suppressor Protein p53 Proto-Oncogene Proteins c-mdm2 Wnt-5a Protein Computational Biology Gene Expression Regulation, Neoplastic Models, Genetic Bayes Theorem Models, Biological Humans Machine Learning Software Algorithms Melanoma Skin Neoplasms Gene Expression Profiling Gene Regulatory Networks
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From word models to executable models of signaling networks using automated assembly.

Molecular systems biology Nov 24, 2017
Word models (natural language descriptions of molecular mechanisms) are a common currency in spoken and written communication in biomedicine but are of limited use in predicting the behavior of complex biological networks. We present an approach to b...
Proto-Oncogene Proteins B-raf Vemurafenib Indoles Enzyme Inhibitors Drug Resistance, Neoplasm Tumor Suppressor Protein p53 Proto-Oncogene Proteins p21(ras) Models, Genetic Signal Transduction Natural Language Processing DNA Damage Sulfonamides Humans Neural Networks, Computer Computer Simulation Antineoplastic Agents Cell Line, Tumor Gene Expression Regulation, Neoplastic Language Melanoma Skin Neoplasms
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A novel algorithm to improve specificity in ovarian cancer detection.

Cancer treatment and research communications Nov 10, 2017
BACKGROUND: Measurement of autoantibodies (AAbs) to tumor associated antigens has been proposed to aid in the early detection of ovarian cancer with high specificity. Here we describe a multiplex approach to evaluate selected peptide epitopes of p53 ...
Immunoassay Epitopes Tumor Suppressor Protein p53 Middle Aged CA-125 Antigen Early Detection of Cancer Ovarian Neoplasms Autoantibodies Neoplasm Staging Humans Female Aged Sensitivity and Specificity Biomarkers, Tumor
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MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.

NeuroImage. Clinical Oct 29, 2017
BACKGROUND: P53 mutation status is a pivotal biomarker for gliomas. Here, we developed a machine-learning model to predict p53 status in lower-grade gliomas based on radiomic features extracted from conventional magnetic resonance (MR) images.
Child, Preschool Child Humans ROC Curve Magnetic Resonance Imaging Machine Learning Adult Image Processing, Computer-Assisted Retrospective Studies Mutation Brain Neoplasms Glioma Female Tumor Suppressor Protein p53 Male Aged Middle Aged Young Adult Adolescent
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Achyranthes bidentate saponins protect rat articular chondrocytes against interleukin-1β-induced inflammation and apoptosis in vitro.

The Kaohsiung journal of medical sciences Dec 30, 2016
Achyranthes bidentate Blume (Niuxi) is often employed for treatment of arthritis in Traditional Chinese Medicine and possesses anti-inflammatory properties. Phytochemical and pharmacological studies proved the oleanane-type saponins to be the main bi...
Gene Expression Regulation Proliferating Cell Nuclear Antigen Cyclooxygenase 2 Cartilage, Articular Matrix Metalloproteinase 3 bcl-X Protein Primary Cell Culture Achyranthes bcl-Associated Death Protein Matrix Metalloproteinase 9 bcl-2-Associated X Protein Caspase 3 Chondrocytes Plant Extracts Anti-Inflammatory Agents, Non-Steroidal Saponins Rats Plant Roots Tumor Suppressor Protein p53 Inflammation Interleukin-1beta Signal Transduction Animals NF-kappa B Rats, Sprague-Dawley Male Apoptosis
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Genotoxic mode of action predictions from a multiplexed flow cytometric assay and a machine learning approach.

Environmental and molecular mutagenesis Jan 13, 2016
Several endpoints associated with cellular responses to DNA damage as well as overt cytotoxicity were multiplexed into a miniaturized, "add and read" type flow cytometric assay. Reagents included a detergent to liberate nuclei, RNase and propidium io...
Histones Humans Aneugens Machine Learning DNA Damage Algorithms Flow Cytometry Automation, Laboratory Tumor Suppressor Protein p53 Biomarkers Mutagens Reproducibility of Results Mutagenicity Tests Cell Line
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