AIMC Journal:
International journal of molecular sciences

Showing 231 to 240 of 423 articles

PD-BertEDL: An Ensemble Deep Learning Method Using BERT and Multivariate Representation to Predict Peptide Detectability.

International journal of molecular sciences Oct 16, 2022
Peptide detectability is defined as the probability of identifying a peptide from a mixture of standard samples, which is a key step in protein identification and analysis. Exploring effective methods for predicting peptide detectability is helpful f...
Proteins Deep Learning Peptides
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Omics Data and Data Representations for Deep Learning-Based Predictive Modeling.

International journal of molecular sciences Oct 14, 2022
Medical discoveries mainly depend on the capability to process and analyze biological datasets, which inundate the scientific community and are still expanding as the cost of next-generation sequencing technologies is decreasing. Deep learning (DL) i...
Drug Discovery Deep Learning Biotechnology
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PINC: A Tool for Non-Coding RNA Identification in Plants Based on an Automated Machine Learning Framework.

International journal of molecular sciences Oct 5, 2022
There is evidence that non-coding RNAs play significant roles in the regulation of nutrient homeostasis, development, and stress responses in plants. Accurate identification of ncRNAs is the first step in determining their function. While a number of...
Plants RNA, Untranslated Machine Learning
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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...
Nucleotides Female Carcinogens Mutation Breast Neoplasms Male Adenocarcinoma Humans Deep Learning
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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...
Germ-Line Mutation Hematoxylin BRCA1 Protein Carcinoma, Ovarian Epithelial Eosine Yellowish-(YS) Deep Learning Mutation Ovarian Neoplasms Humans Female
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Precision Medicine Approaches with Metabolomics and Artificial Intelligence.

International journal of molecular sciences Sep 24, 2022
Recent technological innovations in the field of mass spectrometry have supported the use of metabolomics analysis for precision medicine. This growth has been allowed also by the application of algorithms to data analysis, including multivariate and...
Artificial Intelligence Algorithms Support Vector Machine Precision Medicine Machine Learning
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Interpretable Machine Learning Models for Molecular Design of Tyrosine Kinase Inhibitors Using Variational Autoencoders and Perturbation-Based Approach of Chemical Space Exploration.

International journal of molecular sciences Sep 24, 2022
In the current study, we introduce an integrative machine learning strategy for the autonomous molecular design of protein kinase inhibitors using variational autoencoders and a novel cluster-based perturbation approach for exploration of the chemica...
src-Family Kinases Space Flight Machine Learning Protein Kinase Inhibitors Molecular Structure
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Modeling DTA by Combining Multiple-Instance Learning with a Private-Public Mechanism.

International journal of molecular sciences Sep 22, 2022
The prediction of the strengths of drug-target interactions, also called drug-target binding affinities (DTA), plays a fundamental role in facilitating drug discovery, where the goal is to find prospective drug candidates. With the increase in the nu...
Drug Discovery Algorithms Proteins Drug Development Machine Learning
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DLm6Am: A Deep-Learning-Based Tool for Identifying N6,2'-O-Dimethyladenosine Sites in RNA Sequences.

International journal of molecular sciences Sep 20, 2022
N6,2'-O-dimethyladenosine (mAm) is a post-transcriptional modification that may be associated with regulatory roles in the control of cellular functions. Therefore, it is crucial to accurately identify transcriptome-wide mAm sites to understand under...
Deep Learning RNA, Messenger Algorithms Base Sequence Nucleotides
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Evaluation of Disability Progression in Multiple Sclerosis via Magnetic-Resonance-Based Deep Learning Techniques.

International journal of molecular sciences Sep 13, 2022
Short-term disability progression was predicted from a baseline evaluation in patients with multiple sclerosis (MS) using their three-dimensional T1-weighted (3DT1) magnetic resonance images (MRI). One-hundred-and-eighty-one subjects diagnosed with M...
Humans Brain Multiple Sclerosis Disability Evaluation Deep Learning Disease Progression Magnetic Resonance Imaging
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