AIMC Topic: Membrane Proteins

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The utility of sentinel lymph node mapping in the management of endometrial atypical hyperplasia.

Gynecologic oncology Dec 28, 2017
OBJECTIVES: To determine the risk of endometrial cancer (EC) and lymph node involvement in patients with a preoperative diagnosis of "AH-only" versus "AH - cannot rule out carcinoma" and to study the value of SLN mapping.
Myometrium Sentinel Lymph Node Biopsy Membrane Proteins Lymphatic Metastasis Neoplasm Invasiveness Endometrial Neoplasms Lymph Node Excision CA-125 Antigen Predictive Value of Tests Carcinoma, Endometrioid Neoplasm Staging Endometrial Hyperplasia Neoplasm Grading Pelvis Humans Female Aged Aged, 80 and over Adult Sensitivity and Specificity Middle Aged
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Evaluation of CNTNAP2 gene rs2107856 polymorphism in Turkish population with pseudoexfoliation syndrome.

International ophthalmology Dec 19, 2017
PURPOSE: To investigate rs2107856 single-nucleotide polymorphism (SNP) of CNTNAP2 gene in Turkish population with pseudoexfoliation and to correlate clinical characteristics with the genotypic profile.
Retinal Ganglion Cells Polymerase Chain Reaction Polymorphism, Genetic Exfoliation Syndrome Visual Acuity Tomography, Optical Coherence DNA Turkey Genotype Membrane Proteins Nerve Tissue Proteins Humans Prospective Studies Intraocular Pressure Male Female Middle Aged Aged Incidence Aged, 80 and over Cross-Sectional Studies
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Bi-PSSM: Position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins.

Journal of theoretical biology Sep 18, 2017
Mycobacterium is a pathogenic bacterium, which is a causative agent of tuberculosis (TB) and leprosy. These diseases are very crucial and become the cause of death of millions of people every year in the world. So, the characterize structure of membr...
Bacterial Proteins Artificial Intelligence Amino Acid Sequence Computational Biology Mycobacterium Membrane Proteins Position-Specific Scoring Matrices Evolution, Molecular
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Predicting the helix-helix interactions from correlated residue mutations.

Proteins Aug 24, 2017
Helix-helix interactions are crucial in the structure assembly, stability and function of helix-rich proteins including many membrane proteins. In spite of remarkable progresses over the past decades, the accuracy of predicting protein structures fro...
Amino Acid Sequence Binding Sites Protein Interaction Domains and Motifs Protein Conformation, alpha-Helical Machine Learning Protein Binding Computational Biology Membrane Proteins
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TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions.

PLoS computational biology Jul 27, 2017
UNLABELLED: Although deep learning approaches have had tremendous success in image, video and audio processing, computer vision, and speech recognition, their applications to three-dimensional (3D) biomolecular structural data sets have been hindered...
Machine Learning Image Processing, Computer-Assisted Protein Binding Computational Biology Neural Networks, Computer Membrane Proteins Models, Statistical Molecular Dynamics Simulation Protein Folding
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Membrane protein contact and structure prediction using co-evolution in conjunction with machine learning.

PloS one May 24, 2017
De novo membrane protein structure prediction is limited to small proteins due to the conformational search space quickly expanding with length. Long-range contacts (24+ amino acid separation)-residue positions distant in sequence, but in close proxi...
Algorithms Membrane Proteins Models, Molecular Amino Acid Sequence Protein Structure, Secondary Protein Folding Humans Machine Learning
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and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.

The Journal of biological chemistry May 23, 2017
Tumor exomes provide comprehensive information on mutated, overexpressed genes and aberrant splicing, which can be exploited for personalized cancer immunotherapy. Of particular interest are mutated tumor antigen T-cell epitopes, because neoepitope-s...
Computational Biology Cancer Vaccines Antigens, Neoplasm Vaccines, Synthetic Cells, Cultured Melanoma Reproducibility of Results Animals Epitopes HLA-A2 Antigen Protein Stability Expert Systems Membrane Proteins Neoplasm Proteins Mice, Knockout Peptide Fragments Humans Artificial Intelligence Models, Immunological Protein Refolding T-Lymphocytes, Cytotoxic Oligopeptides Immunogenicity, Vaccine Mice, Transgenic
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Peripheral FLT-3 ligand levels as a pathobiological parameter duringthe clinical course of acute myeloid leukemia.

Turkish journal of medical sciences Dec 20, 2016
BACKGROUND/AIM: FLT-3 ligand is a growth factor affecting the hematopoietic lineage. The aim of this study was to evaluate the variability of peripheral FLT-3 ligand during the clinical course of acute myeloid leukemia (AML) patients.
Humans Leukemia, Myeloid, Acute Male Membrane Proteins
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Antihemolytic and antioxidant properties of pearl powder against 2,2'-azobis(2-amidinopropane) dihydrochloride-induced hemolysis and oxidative damage to erythrocyte membrane lipids and proteins.

Journal of food and drug analysis Dec 1, 2016
Pearl powder, a well-known traditional mineral medicine, is reported to be used for well-being and to treat several diseases from centuries in Taiwan and China. We investigated the in vitro antihemolytic and antioxidant properties of pearl powder tha...
Humans Animals China Oxidative Stress Pinctada Hemolysis Membrane Lipids Amidines Erythrocyte Membrane Antioxidants Membrane Proteins Powders Erythrocytes
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TMSEG: Novel prediction of transmembrane helices.

Proteins Sep 16, 2016
Transmembrane proteins (TMPs) are important drug targets because they are essential for signaling, regulation, and transport. Despite important breakthroughs, experimental structure determination remains challenging for TMPs. Various methods have bri...
Datasets as Topic Protein Conformation, alpha-Helical Membrane Proteins Databases, Protein Hydrophobic and Hydrophilic Interactions Humans Machine Learning Sensitivity and Specificity
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