AIMC Topic: Cell Line, Tumor
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Machine-Learning-Based Analysis in Genome-Edited Cells Reveals the Efficiency of Clathrin-Mediated Endocytosis.
Cell reports
Sep 17, 2015
Cells internalize various molecules through clathrin-mediated endocytosis (CME). Previous live-cell imaging studies suggested that CME is inefficient, with about half of the events terminated. These CME efficiency estimates may have been confounded b...
Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles.
Molecular & cellular proteomics : MCP
Aug 26, 2015
Characterization of tumors at the molecular level has improved our knowledge of cancer causation and progression. Proteomic analysis of their signaling pathways promises to enhance our understanding of cancer aberrations at the functional level, but ...
Lymphoma, Large B-Cell, Diffuse
Cell Line, Tumor
Gene Expression Regulation, Neoplastic
Proteomics
Humans
Neprilysin
Formaldehyde
Machine Learning
Proteome
Apoptosis Regulatory Proteins
Phosphoprotein Phosphatases
Biomarkers, Tumor
Signal Transduction
Isotope Labeling
Tissue Embedding
Neoplasm Proteins
Tissue Fixation
GTPase-Activating Proteins
Principal Component Analysis
Genomic signatures for paclitaxel and gemcitabine resistance in breast cancer derived by machine learning.
Molecular oncology
Aug 22, 2015
Increasingly, the effectiveness of adjuvant chemotherapy agents for breast cancer has been related to changes in the genomic profile of tumors. We investigated correspondence between growth inhibitory concentrations of paclitaxel and gemcitabine (GI5...
Computational assignment of cell-cycle stage from single-cell transcriptome data.
Methods (San Diego, Calif.)
Jul 2, 2015
The transcriptome of single cells can reveal important information about cellular states and heterogeneity within populations of cells. Recently, single-cell RNA-sequencing has facilitated expression profiling of large numbers of single cells in para...
Classification of lung cancer using ensemble-based feature selection and machine learning methods.
Molecular bioSystems
Dec 16, 2014
Lung cancer is one of the leading causes of death worldwide. There are three major types of lung cancers, non-small cell lung cancer (NSCLC), small cell lung cancer (SCLC) and carcinoid. NSCLC is further classified into lung adenocarcinoma (LADC), sq...
Accurate Diagnosis of Colorectal Cancer Using a Combination of Lectin-Induced Recombinase Polymerase Amplification and CRISPR/Cas12a Assay on a Point-of-Care Testing Platform with Deep Learning Assistant.
Analytical chemistry
Jul 1, 2025
Specific glycosylation patterns on exosome surfaces represent novel diagnostic biomarkers for cancer liquid biopsy. Lectins can induce exosome aggregation through multiple bindings with exosomal glycoproteins. In this work, we developed a one-pot lec...
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...
Integrating AI/ML and multi-omics approaches to investigate the role of TNFRSF10A/TRAILR1 and its potential targets in pancreatic cancer.
Computers in biology and medicine
Jul 1, 2025
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with a five-year survival of under 10 % despite current therapies. Aggressive tumor biology, a desmoplastic stroma that limits drug delivery and immune cell infiltra...
Machine learning-driven insights into retention mechanism in IAM chromatography of anticancer sulfonamides: Implications for biological efficacy.
Journal of chromatography. A
Jun 21, 2025
Machine learning (ML) tools offer new opportunities in drug discovery, especially for enhancing our understanding of molecular interactions with biological systems. This study develops a comprehensive quantitative structure-retention relationship (QS...
Structure-based artificial intelligence-aided design of MYC-targeting degradation drugs for cancer therapy.
Biochemical and biophysical research communications
Jun 20, 2025
The MYC protein is an oncoprotein that plays a crucial role in various cancers. Although its significance has been well recognized in research, the development of drugs targeting MYC remains relatively slow. In this study, we developed a novel MYC pe...
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