AIMC Topic: Nuclear Proteins

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Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning-Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status.

AJR. American journal of roentgenology Jan 2, 2019
OBJECTIVE: The purpose of this study is to evaluate the potential value of machine learning (ML)-based high-dimensional quantitative CT texture analysis in predicting the mutation status of the gene encoding the protein polybromo-1 (PBRM1) in patient...
Predictive Value of Tests Mutation Radiographic Image Interpretation, Computer-Assisted DNA-Binding Proteins Kidney Neoplasms Male Middle Aged Nuclear Proteins Transcription Factors Contrast Media Carcinoma, Renal Cell Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged
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A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

Nature communications Jan 3, 2018
Cancers that appear pathologically similar often respond differently to the same drug regimens. Methods to better match patients to drugs are in high demand. We demonstrate a promising approach to identify robust molecular markers for targeted treatm...
Humans Machine Learning Algorithms Precision Medicine Etoposide Nuclear Proteins Biomarkers, Tumor Topoisomerase II Inhibitors Transcription Factors Leukemia, Myeloid, Acute Cell Line Antineoplastic Agents Datasets as Topic DNA Helicases Drug Resistance, Neoplasm
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Comparison of Selected Parameters of Redox Homeostasis in Patients with Ataxia-Telangiectasia and Nijmegen Breakage Syndrome.

Oxidative medicine and cellular longevity Dec 31, 2017
This study compared the antioxidant status and major lipophilic antioxidants in patients with ataxia-telangiectasia (AT) and Nijmegen breakage syndrome (NBS). Total antioxidant status (TAS), total oxidant status (TOS), oxidative stress index (OSI), a...
Ubiquinone Cell Cycle Proteins Humans Child Homeostasis Oxidative Stress Female Vitamin E Nijmegen Breakage Syndrome Nuclear Proteins Male Ataxia Telangiectasia Oxidation-Reduction Adolescent Ataxia Telangiectasia Mutated Proteins Vitamin A
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Machine-Learning-Assisted Approach for Discovering Novel Inhibitors Targeting Bromodomain-Containing Protein 4.

Journal of chemical information and modeling Jul 10, 2017
Bromodomain-containing protein 4 (BRD4) is implicated in the pathogenesis of a number of different cancers, inflammatory diseases and heart failure. Much effort has been dedicated toward discovering novel scaffold BRD4 inhibitors (BRD4is) with differ...
Machine Learning Molecular Docking Simulation Drug Discovery Nuclear Proteins Transcription Factors Humans Cell Cycle Proteins Cell Line Structure-Activity Relationship Drug Evaluation, Preclinical Molecular Targeted Therapy Protein Conformation
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Correcting the impact of docking pose generation error on binding affinity prediction.

BMC bioinformatics Sep 22, 2016
BACKGROUND: Pose generation error is usually quantified as the difference between the geometry of the pose generated by the docking software and that of the same molecule co-crystallised with the considered protein. Surprisingly, the impact of this e...
Ligands Protein Conformation Protein Binding Nuclear Proteins Transcription Factors Pyrazines Humans Software Molecular Docking Simulation
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Genes with high penetrance for syndromic and non-syndromic autism typically function within the nucleus and regulate gene expression.

Molecular autism Mar 15, 2016
BACKGROUND: Intellectual disability (ID), autism, and epilepsy share frequent yet variable comorbidities with one another. In order to better understand potential genetic divergence underlying this variable risk, we studied genes responsible for mono...
Humans Autism Spectrum Disorder Comorbidity Protein Interaction Maps Genetic Association Studies Epigenomics Nuclear Proteins Databases, Genetic Body Patterning Chromatin Assembly and Disassembly Penetrance Nerve Tissue Proteins Autistic Disorder Epilepsy Risk Syndrome Gene Ontology Cell Nucleus Neurogenesis Gene Expression Regulation Intellectual Disability
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Loss of the integral nuclear envelope protein SUN1 induces alteration of nucleoli.

Nucleus (Austin, Tex.) Mar 10, 2016
A supervised machine learning algorithm, which is qualified for image classification and analyzing similarities, is based on multiple discriminative morphological features that are automatically assembled during the learning processes. The algorithm ...
RNA, Neoplasm Cell Nucleolus Nuclear Envelope Nuclear Proteins Neoplasm Proteins Microtubule-Associated Proteins RNA, Ribosomal Humans Machine Learning Algorithms Female Breast Neoplasms Cell Line, Tumor Membrane Proteins
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Mixed Integer Linear Programming based machine learning approach identifies regulators of telomerase in yeast.

Nucleic acids research Feb 22, 2016
Understanding telomere length maintenance mechanisms is central in cancer biology as their dysregulation is one of the hallmarks for immortalization of cancer cells. Important for this well-balanced control is the transcriptional regulation of the te...
Mediator Complex Programming, Linear Telomerase Reproducibility of Results Gene Regulatory Networks Nuclear Proteins Mutation Sirtuin 2 Saccharomyces cerevisiae Gene Expression Regulation, Fungal Histones Repressor Proteins Saccharomyces cerevisiae Proteins Machine Learning Software
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RNA splicing. The human splicing code reveals new insights into the genetic determinants of disease.

Science (New York, N.Y.) Dec 18, 2014
To facilitate precision medicine and whole-genome annotation, we developed a machine-learning technique that scores how strongly genetic variants affect RNA splicing, whose alteration contributes to many diseases. Analysis of more than 650,000 intron...
MutL Protein Homolog 1 RNA Splice Sites Humans Child Development Disorders, Pervasive Colorectal Neoplasms, Hereditary Nonpolyposis Artificial Intelligence Muscular Atrophy, Spinal Computer Simulation Adaptor Proteins, Signal Transducing Exons Introns Genome-Wide Association Study DNA Genetic Code Mutation, Missense Polymorphism, Single Nucleotide Genetic Markers Quantitative Trait Loci RNA-Binding Proteins Genetic Variation RNA Splicing Models, Genetic Molecular Sequence Annotation Nuclear Proteins
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Intratumoral Resolution of Driver Gene Mutation Heterogeneity in Renal Cancer Using Deep Learning.

Cancer research Aug 3, 2022
UNLABELLED: Intratumoral heterogeneity arising from tumor evolution poses significant challenges biologically and clinically. Dissecting this complexity may benefit from deep learning (DL) algorithms, which can infer molecular features from ubiquitou...
Mutation Tumor Suppressor Proteins Kidney Neoplasms Carcinoma, Renal Cell Ubiquitin Thiolesterase Humans Animals Deep Learning Nuclear Proteins
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