AIMC Topic: Adaptor Proteins, Signal Transducing

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Loop-mediated isothermal amplification (LAMP) and machine learning application for early pregnancy detection using bovine vaginal mucosal membrane.

Biochemical and biophysical research communications Jul 10, 2021
An early and accurate pregnancy diagnosis method is required to improve the reproductive performance of cows. Here we developed an easy pregnancy detection method using vaginal mucosal membrane (VMM) with application of Reverse Transcription-Loop-med...
Machine Learning Cytokines Biomarkers Sensitivity and Specificity Animals Cattle Pregnancy Female Reproducibility of Results Gene Expression Mucous Membrane Vagina CA-125 Antigen Ubiquitins Membrane Proteins Nucleic Acid Amplification Techniques Adaptor Proteins, Signal Transducing RNA-Binding Proteins Molecular Diagnostic Techniques
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Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia.

Nature neuroscience Jan 11, 2021
Retrotransposons can cause somatic genome variation in the human nervous system, which is hypothesized to have relevance to brain development and neuropsychiatric disease. However, the detection of individual somatic mobile element insertions present...
Retroelements Mutagenesis, Insertional HeLa Cells Embryonic Development Genome Neuroglia Humans Cation Transport Proteins Machine Learning Neurons Mental Disorders Schizophrenia Pregnancy High-Throughput Nucleotide Sequencing Female Long Interspersed Nucleotide Elements Adult Adaptor Proteins, Signal Transducing
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Classification of adaptor proteins using recurrent neural networks and PSSM profiles.

BMC genomics Dec 24, 2019
BACKGROUND: Adaptor proteins are carrier proteins that play a crucial role in signal transduction. They commonly consist of several modular domains, each having its own binding activity and operating by forming complexes with other intracellular-sign...
Adaptor Proteins, Signal Transducing Position-Specific Scoring Matrices Deep Learning ROC Curve
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RNA splicing. The human splicing code reveals new insights into the genetic determinants of disease.

Science (New York, N.Y.) Dec 18, 2014
To facilitate precision medicine and whole-genome annotation, we developed a machine-learning technique that scores how strongly genetic variants affect RNA splicing, whose alteration contributes to many diseases. Analysis of more than 650,000 intron...
Molecular Sequence Annotation Introns Mutation, Missense Genetic Markers Genetic Variation Colorectal Neoplasms, Hereditary Nonpolyposis Muscular Atrophy, Spinal RNA Splice Sites Exons Quantitative Trait Loci Computer Simulation Genetic Code RNA-Binding Proteins Nuclear Proteins RNA Splicing Genome-Wide Association Study MutL Protein Homolog 1 Models, Genetic Humans Adaptor Proteins, Signal Transducing Child Development Disorders, Pervasive Polymorphism, Single Nucleotide DNA Artificial Intelligence
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A flexible machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition.

American journal of human genetics Jun 5, 2025
Mendelian randomization (MR) enables the estimation of causal effects while controlling for unmeasured confounding factors. However, traditional MR's reliance on strong parametric assumptions can introduce bias if these are violated. We describe a ma...
Humans Osteoporosis Female Male Mendelian Randomization Analysis Machine Learning Cardiovascular Diseases Cholesterol, LDL Bone Density Genetic Markers Polymorphism, Single Nucleotide Adaptor Proteins, Signal Transducing
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Exciting developments in the field of acute kidney injury.

Nature reviews. Nephrology Feb 1, 2020
Mice Humans Postoperative Complications Adaptor Proteins, Signal Transducing Acute Kidney Injury Deep Learning Animals Myocardium Risk Assessment
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