AIMC Topic: Mutation

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Digital/Computational Technology for Molecular Cytology Testing: A Short Technical Note with Literature Review.

Acta cytologica Apr 30, 2021
This short article describes the method of digital cytopathology using Z-stack scanning with or without extended focusing. This technology is suitable to observe such thick clusters as adenocarcinoma on cytologic specimens. Artificial intelligence (A...
Molecular Diagnostic Techniques Reproducibility of Results DNA Mutational Analysis Humans Predictive Value of Tests ErbB Receptors Artificial Intelligence Mutation Diagnosis, Computer-Assisted Automation, Laboratory Adenocarcinoma of Lung Image Processing, Computer-Assisted Pathology, Molecular Lung Neoplasms
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Histopathological characteristics and artificial intelligence for predicting tumor mutational burden-high colorectal cancer.

Journal of gastroenterology Apr 28, 2021
BACKGROUND: Tumor mutational burden-high (TMB-H), which is detected with gene panel testing, is a promising biomarker for immune checkpoint inhibitors (ICIs) in colorectal cancer (CRC). However, in clinical practice, not every patient is tested for T...
Humans Artificial Intelligence Colorectal Neoplasms Mutation Japan DNA Mutational Analysis Pathology
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Increasing prediction accuracy of pathogenic staging by sample augmentation with a GAN.

PloS one Apr 27, 2021
Accurate prediction of cancer stage is important in that it enables more appropriate treatment for patients with cancer. Many measures or methods have been proposed for more accurate prediction of cancer stage, but recently, machine learning, especia...
Prognosis Neoplasms Image Processing, Computer-Assisted Principal Component Analysis Humans Neural Networks, Computer Machine Learning Neoplasm Staging Mutation
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Protein design and variant prediction using autoregressive generative models.

Nature communications Apr 23, 2021
The ability to design functional sequences and predict effects of variation is central to protein engineering and biotherapeutics. State-of-art computational methods rely on models that leverage evolutionary information but are inadequate for importa...
Phenotype Genotype Computational Biology Proteins Humans Neural Networks, Computer Algorithms Protein Engineering Mutation Antibodies Amino Acid Sequence Antigens
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Machine learning-based investigation of the cancer protein secretory pathway.

PLoS computational biology Apr 5, 2021
Deregulation of the protein secretory pathway (PSP) is linked to many hallmarks of cancer, such as promoting tissue invasion and modulating cell-cell signaling. The collection of secreted proteins processed by the PSP, known as the secretome, is ofte...
Humans Machine Learning Algorithms Mutation Cell Transformation, Neoplastic Genes, p53 Biomarkers, Tumor Secretory Pathway Neoplasms Cell Line, Tumor Neoplasm Proteins
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Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas.

World neurosurgery Apr 2, 2021
OBJECTIVE: H3K27M mutation in gliomas has prognostic implications. Previous magnetic resonance imaging (MRI) studies have reported variable rates of tumoral enhancement, necrotic changes, and peritumoral edema in H3K27M-mutant gliomas, with no distin...
Humans Machine Learning Algorithms Histones Predictive Value of Tests Area Under Curve Middle Aged Mutation Adolescent Cohort Studies Child ROC Curve Image Processing, Computer-Assisted Glioma Magnetic Resonance Imaging Adult Sensitivity and Specificity Female Brain Neoplasms Reproducibility of Results Male Young Adult
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Deciphering Complex Mechanisms of Resistance and Loss of Potency through Coupled Molecular Dynamics and Machine Learning.

Journal of chemical theory and computation Mar 30, 2021
Drug resistance threatens many critical therapeutics through mutations in the drug target. The molecular mechanisms by which combinations of mutations, especially those remote from the active site, alter drug binding to confer resistance are poorly u...
HIV Protease HIV Protease Inhibitors Machine Learning Mutation Molecular Dynamics Simulation Drug Resistance, Viral
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Disentangling the Contribution of Each Descriptive Characteristic of Every Single Mutation to Its Functional Effects.

Journal of chemical information and modeling Mar 23, 2021
Mutational effects predictions continue to improve in accuracy as advanced artificial intelligence (AI) algorithms are trained on exhaustive experimental data. The next natural questions to ask are if it is possible to gain insights into which attrib...
Algorithms Proteins Mutation Position-Specific Scoring Matrices Artificial Intelligence
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Systematic characterization of mutations altering protein degradation in human cancers.

Molecular cell Feb 9, 2021
The ubiquitin-proteasome system (UPS) is the primary route for selective protein degradation in human cells. The UPS is an attractive target for novel cancer therapies, but the precise UPS genes and substrates important for cancer growth are incomple...
Mutation HEK293 Cells Proteolysis Deep Learning Humans Cell Line, Tumor Neoplasms Models, Genetic Neoplasm Proteins
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An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study.

Scientific reports Feb 5, 2021
The rampant spread of COVID-19, an infectious disease caused by SARS-CoV-2, all over the world has led to over millions of deaths, and devastated the social, financial and political entities around the world. Without an existing effective medical the...
Molecular Docking Simulation Drug Design Deep Learning COVID-19 Vaccines Spike Glycoprotein, Coronavirus Computational Biology Models, Molecular Mutation Humans COVID-19 Epitopes, B-Lymphocyte SARS-CoV-2 Solubility Vaccines, Subunit Epitopes, T-Lymphocyte Immunogenicity, Vaccine T-Lymphocytes, Cytotoxic T-Lymphocytes, Helper-Inducer RNA, Viral Codon Usage Protein Conformation Molecular Dynamics Simulation Allergens
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