AIMC Topic: Mutation

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Using Machine Learning for Predicting the Effect of Mutations in the Initiation Codon.

IEEE journal of biomedical and health informatics Nov 10, 2022
The effect of mutations has been traditionally predicted by studying what may happen due to the substitution of one amino acid for another one. This approach may be effective for mutations with impact in the function of the protein, but ineffective f...
Codon, Initiator Mutation Codon Humans Machine Learning
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Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks.

BMC medical informatics and decision making Nov 9, 2022
BACKGROUND: Epilepsy is the fourth-most common neurological disorder, affecting an estimated 50 million patients globally. Nearly 40% of patients have uncontrolled seizures yet incur 80% of the cost. Anti-epileptic drugs commonly result in resistance...
Humans Epilepsy Mutation Neurons Computer Simulation Support Vector Machine Bayes Theorem Machine Learning Algorithms
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Pharmacological, Non-Pharmacological Policies and Mutation: An Artificial Intelligence Based Multi-Dimensional Policy Making Algorithm for Controlling the Casualties of the Pandemic Diseases.

IEEE transactions on pattern analysis and machine intelligence Nov 7, 2022
Fighting against the pandemic diseases with unique characters requires new sophisticated approaches like the artificial intelligence. This paper develops an artificial intelligence algorithm to produce multi-dimensional policies for controlling and m...
Humans Artificial Intelligence Policy Mutation Policy Making Pandemics Algorithms
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D3AI-Spike: A deep learning platform for predicting binding affinity between SARS-CoV-2 spike receptor binding domain with multiple amino acid mutations and human angiotensin-converting enzyme 2.

Computers in biology and medicine Oct 25, 2022
The number of SARS-CoV-2 spike Receptor Binding Domain (RBD) with multiple amino acid mutations is huge due to random mutations and combinatorial explosions, making it almost impossible to experimentally determine their binding affinities to human an...
Angiotensin-Converting Enzyme 2 Mutation Amino Acids COVID-19 SARS-CoV-2 Protein Binding Spike Glycoprotein, Coronavirus Deep Learning Humans
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Deep mutational scanning and machine learning reveal structural and molecular rules governing allosteric hotspots in homologous proteins.

eLife Oct 13, 2022
A fundamental question in protein science is where allosteric hotspots - residues critical for allosteric signaling - are located, and what properties differentiate them. We carried out deep mutational scanning (DMS) of four homologous bacterial allo...
Machine Learning Signal Transduction Molecular Dynamics Simulation Allosteric Regulation Proteins Mutation
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Deep Learning Approaches for Detection of Breast Adenocarcinoma Causing Carcinogenic Mutations.

International journal of molecular sciences Sep 29, 2022
Genes are composed of DNA and each gene has a specific sequence. Recombination or replication within the gene base ends in a permanent change in the nucleotide collection in a DNA called mutation and some mutations can lead to cancer. Breast adenocar...
Breast Neoplasms Male Deep Learning Humans Female Nucleotides Adenocarcinoma Mutation Carcinogens
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Deep-Learning to Predict BRCA Mutation and Survival from Digital H&E Slides of Epithelial Ovarian Cancer.

International journal of molecular sciences Sep 26, 2022
BRCA 1/2 genes mutation status can already determine the therapeutic algorithm of high grade serous ovarian cancer patients. Nevertheless, its assessment is not sufficient to identify all patients with genomic instability, since BRCA 1/2 mutations ar...
Female Deep Learning Germ-Line Mutation Humans Mutation Ovarian Neoplasms Eosine Yellowish-(YS) BRCA1 Protein Carcinoma, Ovarian Epithelial Hematoxylin
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Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer.

BMC cancer Sep 21, 2022
BACKGROUND: Despite the fact that tumor microenvironment (TME) and gene mutations are the main determinants of progression of the deadliest cancer in the world - lung cancer, their interrelations are not well understood. Digital pathology data provid...
Hematoxylin Receptor, Platelet-Derived Growth Factor beta Adenocarcinoma of Lung Eosine Yellowish-(YS) Tumor Microenvironment Deep Learning Humans Carcinoma, Non-Small-Cell Lung Lung Neoplasms Mutation
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Detection of Breast Cancer Lump and BRCA1/2 Genetic Mutation under Deep Learning.

Computational intelligence and neuroscience Sep 19, 2022
To diagnose and cure breast cancer early, thus reducing the mortality of patients with breast cancer, a method was provided to judge threshold of image segmentation by wavelet transform (WT). It was used to obtain information about the general area o...
Mutation Breast Neoplasms Humans High-Throughput Nucleotide Sequencing BRCA1 Protein Deep Learning Female
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-Complex-Based Machine Learning (HCML) for the Prediction of Protein-Protein Binding Affinity Changes upon Mutation.

Journal of chemical information and modeling Aug 30, 2022
Protein-protein interactions (PPIs) are involved in almost all biological processes in the cell. Understanding protein-protein interactions holds the key for the understanding of biological functions, diseases and the development of therapeutics. Rec...
SARS-CoV-2 Humans Protein Binding Artificial Intelligence Machine Learning Mutation COVID-19
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