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Receptors, CXCR4

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A systematic approach to prioritize drug targets using machine learning, a molecular descriptor-based classification model, and high-throughput screening of plant derived molecules: a case study in oral cancer.

Molecular bioSystems 26467789
Systems-biology inspired identification of drug targets and machine learning-based screening of small molecules which modulate their activity have the potential to revolutionize modern drug discovery by complementing conventional methods. To utilize ...
Antineoplastic Agents, Phytogenic Binding Sites Cell Line, Tumor Computational Biology Drug Discovery Gene Expression Regulation, Neoplastic Gene Regulatory Networks High-Throughput Screening Assays Humans Machine Learning Models, Molecular Molecular Conformation Mouth Neoplasms Protein Binding Protein Interaction Mapping Receptors, CXCR4 ROC Curve
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Breast cancer-associated high-order SNP-SNP interaction of CXCL12/CXCR4-related genes by an improved multifactor dimensionality reduction (MDR-ER).

Oncology reports 27461876
In association studies, the combined effects of single nucleotide polymorphism (SNP)-SNP interactions and the problem of imbalanced data between cases and controls are frequently ignored. In the present study, we used an improved multifactor dimensio...
Algorithms Breast Neoplasms Chemokine CXCL12 Epistasis, Genetic Female Genetic Predisposition to Disease Humans Models, Genetic Multifactor Dimensionality Reduction Polymorphism, Single Nucleotide Receptors, CXCR4
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A genotypic method for determining HIV-2 coreceptor usage enables epidemiological studies and clinical decision support.

Retrovirology 27998283
BACKGROUND: CCR5-coreceptor antagonists can be used for treating HIV-2 infected individuals. Before initiating treatment with coreceptor antagonists, viral coreceptor usage should be determined to ensure that the virus can use only the CCR5 corecepto...
CCR5 Receptor Antagonists Decision Support Systems, Clinical Genotype Genotyping Techniques HIV Envelope Protein gp120 HIV Infections HIV-2 Humans Internet Peptide Fragments Receptors, CCR5 Receptors, CXCR4 Support Vector Machine
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Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods.

Contrast media & molecular imaging 29531504
The identification of bone lesions is crucial in the diagnostic assessment of multiple myeloma (MM). Ga-Pentixafor PET/CT can capture the abnormal molecular expression of CXCR-4 in addition to anatomical changes. However, whole-body detection of doze...
Bone Neoplasms Coordination Complexes Deep Learning Gallium Radioisotopes Humans Multiple Myeloma Neural Networks, Computer Peptides, Cyclic Phantoms, Imaging Positron Emission Tomography Computed Tomography Receptors, CXCR4 Whole Body Imaging
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