AIMC Topic: Cell Cycle Proteins

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Single-Cell Sequencing Analysis and Multiple Machine Learning Methods Identified G0S2 and HPSE as Novel Biomarkers for Abdominal Aortic Aneurysm.

Frontiers in immunology Jun 13, 2022
Identifying biomarkers for abdominal aortic aneurysms (AAA) is key to understanding their pathogenesis, developing novel targeted therapeutics, and possibly improving patients outcomes and risk of rupture. Here, we identified AAA biomarkers from publ...
Glucuronidase Aortic Aneurysm, Abdominal Heparin Lyase Cell Cycle Proteins Humans Machine Learning Macrophages Biomarkers
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Deep learning tools and modeling to estimate the temporal expression of cell cycle proteins from 2D still images.

PLoS computational biology Mar 14, 2022
Automatic characterization of fluorescent labeling in intact mammalian tissues remains a challenge due to the lack of quantifying techniques capable of segregating densely packed nuclei and intricate tissue patterns. Here, we describe a powerful deep...
Mammals Cell Nucleus Cell Cycle Cell Cycle Proteins Animals Deep Learning Image Processing, Computer-Assisted Mice
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Biologically informed deep neural network for prostate cancer discovery.

Nature Sep 22, 2021
The determination of molecular features that mediate clinically aggressive phenotypes in prostate cancer remains a major biological and clinical challenge. Recent advances in interpretability of machine learning models as applied to biomedical proble...
Prostatic Neoplasms Drug Resistance, Neoplasm Tumor Suppressor Protein p53 Receptors, Androgen Humans Reproducibility of Results Male Deep Learning Cell Cycle Proteins Proto-Oncogene Proteins Receptor, Fibroblast Growth Factor, Type 1
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Artificial intelligence grading of breast cancer: a promising method to refine prognostic classification for management precision.

Histopathology May 6, 2021
AIM: Artificial intelligence (AI)-based breast cancer grading may help to overcome perceived limitations of human assessment. Here, the potential value of AI grade was evaluated at the molecular level and in predicting patient outcome.
Image Interpretation, Computer-Assisted Databases as Topic Cell Cycle Proteins ATPases Associated with Diverse Cellular Activities Cohort Studies Treatment Outcome Neoplasm Grading Survival Analysis Humans Artificial Intelligence Prognosis Precision Medicine Female Breast Neoplasms Biomarkers, Tumor
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Predicting 3D genome folding from DNA sequence with Akita.

Nature methods Oct 12, 2020
In interphase, the human genome sequence folds in three dimensions into a rich variety of locus-specific contact patterns. Cohesin and CTCF (CCCTC-binding factor) are key regulators; perturbing the levels of either greatly disrupts genome-wide foldin...
Cohesins Genome, Human Cell Cycle Proteins CCCTC-Binding Factor Chromosomal Proteins, Non-Histone Sequence Analysis, DNA DNA-Binding Proteins Humans Gene Expression Regulation Neural Networks, Computer Models, Genetic
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DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure.

Genome biology Mar 26, 2020
Non-coding variants have been shown to be related to disease by alteration of 3D genome structures. We propose a deep learning method, DeepMILO, to predict the effects of variants on CTCF/cohesin-mediated insulator loops. Application of DeepMILO on v...
Chromatin CCCTC-Binding Factor Cohesins Cell Line, Tumor Chromosomal Proteins, Non-Histone Mutation Humans Insulator Elements Whole Genome Sequencing Neoplasms Cell Cycle Proteins Deep Learning
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FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms.

Cancer medicine Jan 1, 2020
Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensitive to FOLFOX (5-FU, leucovorin and oxaliplatin) therapy is very important. We performed microarray meta-analysis to identify differentially expressed ...
Fluorouracil Protein Kinases Datasets as Topic Organoplatinum Compounds Cell Cycle Proteins Oligonucleotide Array Sequence Analysis Intracellular Signaling Peptides and Proteins Response Evaluation Criteria in Solid Tumors Gene Expression Profiling Gene Expression Regulation, Neoplastic Humans Antineoplastic Combined Chemotherapy Protocols Prognosis Machine Learning Neoplasm Recurrence, Local Colorectal Neoplasms Leucovorin Biomarkers, Tumor
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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...
Nijmegen Breakage Syndrome Oxidation-Reduction Adolescent Humans Vitamin E Child Female Vitamin A Oxidative Stress Ataxia Telangiectasia Male Ubiquinone Nuclear Proteins Ataxia Telangiectasia Mutated Proteins Homeostasis Cell Cycle Proteins
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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...
Molecular Docking Simulation Drug Discovery Nuclear Proteins Transcription Factors Humans Machine Learning Protein Conformation Cell Line Cell Cycle Proteins Structure-Activity Relationship Drug Evaluation, Preclinical Molecular Targeted Therapy
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Computer-aided drug discovery of a dual-target inhibitor for ovarian cancer: therapeutic intervention targeting CDK1/TTK signaling pathway and structural insights in the NCI-60.

Computers in biology and medicine Jul 1, 2025
Ovarian cancer remains the third most prevalent and deadliest gynecologic malignancy worldwide, with most patients eventually developing resistance to platinum-based chemotherapy. This highlights a critical unmet need for innovative multitargeted the...
Humans Female Drug Discovery Antineoplastic Agents Ovarian Neoplasms Protein Kinase Inhibitors Cell Cycle Proteins CDC2 Protein Kinase Cell Line, Tumor Signal Transduction Protein-Tyrosine Kinases Protein Serine-Threonine Kinases
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