AIMC Topic: Cell Cycle Proteins

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UBTD2 protein molecules emerges as a key prognostic protein marker in glioma: Insights from integrated omics and machine learning analysis of GRM7, NCAPG, CEP55, and other biomarkers.

International journal of biological macromolecules Apr 24, 2025
Glioma is a malignant brain tumor with poor prognosis, and there is an urgent need to find effective biomarkers for early diagnosis and treatment. The aim of this study was to explore the potential of UBTD2 as a key prognostic protein marker for glio...
Humans Machine Learning Prognosis Computational Biology Gene Expression Regulation, Neoplastic Cell Proliferation Glioma Biomarkers, Tumor Brain Neoplasms Gene Expression Profiling Cell Line, Tumor Cell Cycle Proteins Gene Ontology
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Pan-cancer analysis of CDC7 in human tumors: Integrative multi-omics insights and discovery of novel marine-based inhibitors through machine learning and computational approaches.

Computers in biology and medicine Mar 22, 2025
Cancer remains a significant global health challenge, with the Cell Division Cycle 7 (CDC7) protein emerging as a potential therapeutic target due to its critical role in tumor proliferation, survival, and resistance. However, a comprehensive analysi...
Cell Cycle Proteins Multiomics Protein Serine-Threonine Kinases Molecular Dynamics Simulation Humans Machine Learning Biomarkers, Tumor Neoplasms Molecular Docking Simulation Drug Discovery Antineoplastic Agents Computational Biology
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Inhibition of CDC27 O-GlcNAcylation coordinates the antitumor efficacy in multiple myeloma through the autophagy-lysosome pathway.

Acta pharmacologica Sinica Feb 21, 2025
Multiple myeloma (MM) is a prevalent hematologic malignancy characterized by abnormal proliferation of cloned plasma cells. Given the aggressive nature and drug resistance of MM cells, identification of novel genes could provide valuable insights for...
Autophagy Animals Pyrans Lysosomes Humans Antineoplastic Agents Thiazoles Cell Cycle Proteins Cell Line, Tumor Multiple Myeloma Mice N-Acetylglucosaminyltransferases Bortezomib
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Key genes and pathways in the molecular landscape of pancreatic ductal adenocarcinoma: A bioinformatics and machine learning study.

Computational biology and chemistry Oct 24, 2024
Pancreatic ductal adenocarcinoma (PDAC) is recognized for its aggressive nature, dismal prognosis, and a notably low five-year survival rate, underscoring the critical need for early detection methods and more effective therapeutic approaches. This r...
Carcinoma, Pancreatic Ductal Cell Cycle Proteins Kinesins CDC2 Protein Kinase Protein Serine-Threonine Kinases Receptors, G-Protein-Coupled Pancreatic Neoplasms Humans Machine Learning Biomarkers, Tumor Protein Interaction Maps Computational Biology
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Enhancing the Predictive Power of Machine Learning Models through a Chemical Space Complementary DEL Screening Strategy.

Journal of medicinal chemistry Oct 23, 2024
DNA-encoded library (DEL) technology is an effective method for small molecule drug discovery, enabling high-throughput screening against target proteins. While DEL screening produces extensive data, it can reveal complex patterns not easily recogniz...
Small Molecule Libraries Transcription Factors E1A-Associated p300 Protein DNA Bromodomain Containing Proteins Humans High-Throughput Screening Assays Machine Learning Drug Discovery Cell Cycle Proteins
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Wee1 inhibitor optimization through deep-learning-driven decision making.

European journal of medicinal chemistry Sep 29, 2024
Deep learning has gained increasing attention in recent years, yielding promising results in hit screening and molecular optimization. Herein, we employed an efficient strategy based on multiple deep learning techniques to optimize Wee1 inhibitors, w...
Dose-Response Relationship, Drug Protein-Tyrosine Kinases Decision Making Drug Screening Assays, Antitumor Structure-Activity Relationship Molecular Structure Protein Kinase Inhibitors Cell Cycle Proteins Antineoplastic Agents Deep Learning Cell Line, Tumor Cell Proliferation Humans
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Comprehensive Bioinformatics Analysis and Machine Learning of TTK as a Transhepatic Arterial Chemoembolization Resistance Target in Hepatocellular Carcinoma.

Molecular biotechnology Jul 2, 2024
Transhepatic arterial chemoembolization (TACE) is the standard treatment for intermediate-stage hepatocellular carcinoma (HCC). However, a significant proportion of patients are non-responders or poor responders to TACE. Therefore, our aim is to iden...
Biomarkers, Tumor Gene Expression Profiling Liver Neoplasms Carcinoma, Hepatocellular Humans Machine Learning Prognosis Drug Resistance, Neoplasm Chemoembolization, Therapeutic Kaplan-Meier Estimate Cell Cycle Proteins Protein Interaction Maps Computational Biology Gene Expression Regulation, Neoplastic Databases, Genetic
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Binding Mechanism of Inhibitors to BRD4 and BRD9 Decoded by Multiple Independent Molecular Dynamics Simulations and Deep Learning.

Molecules (Basel, Switzerland) Apr 19, 2024
Bromodomain 4 and 9 (BRD4 and BRD9) have been regarded as important targets of drug designs in regard to the treatment of multiple diseases. In our current study, molecular dynamics (MD) simulations, deep learning (DL) and binding free energy calcula...
Azepines Bromodomain Containing Proteins Humans Molecular Docking Simulation Deep Learning Triazoles Protein Binding Cell Cycle Proteins Nuclear Proteins Binding Sites Transcription Factors Thermodynamics Molecular Dynamics Simulation
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Nested epistasis enhancer networks for robust genome regulation.

Science (New York, N.Y.) Aug 11, 2022
Mammalian genomes have multiple enhancers spanning an ultralong distance (>megabases) to modulate important genes, but it is unclear how these enhancers coordinate to achieve this task. We combine multiplexed CRISPRi screening with machine learning t...
Enhancer Elements, Genetic Humans K562 Cells Genome-Wide Association Study Machine Learning Cell Cycle Proteins Nuclear Proteins Epistasis, Genetic Transcription Factors Disease
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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...
Cell Cycle Proteins Biomarkers Humans Glucuronidase Machine Learning Aortic Aneurysm, Abdominal Macrophages Heparin Lyase
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