AIMC Journal:
International journal of molecular sciences

Showing 161 to 170 of 423 articles

Enzyme Databases in the Era of Omics and Artificial Intelligence.

International journal of molecular sciences Nov 29, 2023
Enzyme research is important for the development of various scientific fields such as medicine and biotechnology. Enzyme databases facilitate this research by providing a wide range of information relevant to research planning and data analysis. Over...
Kinetics Databases, Factual Reproducibility of Results Algorithms Artificial Intelligence
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Shedding Light on Colorectal Cancer: An In Vivo Raman Spectroscopy Approach Combined with Deep Learning Analysis.

International journal of molecular sciences Nov 21, 2023
Raman spectroscopy has emerged as a powerful tool in medical, biochemical, and biological research with high specificity, sensitivity, and spatial and temporal resolution. Recent advanced Raman systems, such as portable Raman systems and fiber-optic ...
Mice Spectrum Analysis, Raman Deep Learning Neural Networks, Computer Animals Colorectal Neoplasms
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Ensemble Learning with Supervised Methods Based on Large-Scale Protein Language Models for Protein Mutation Effects Prediction.

International journal of molecular sciences Nov 18, 2023
Machine learning has been increasingly utilized in the field of protein engineering, and research directed at predicting the effects of protein mutations has attracted increasing attention. Among them, so far, the best results have been achieved by r...
Proteins Amino Acid Sequence Reproducibility of Results Machine Learning Linear Models
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The Impact of Data on Structure-Based Binding Affinity Predictions Using Deep Neural Networks.

International journal of molecular sciences Nov 9, 2023
Artificial intelligence (AI) has gained significant traction in the field of drug discovery, with deep learning (DL) algorithms playing a crucial role in predicting protein-ligand binding affinities. Despite advancements in neural network architectur...
Protein Binding Neural Networks, Computer Algorithms Ligands Artificial Intelligence
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A Weakly Supervised Learning Method for Cell Detection and Tracking Using Incomplete Initial Annotations.

International journal of molecular sciences Nov 7, 2023
The automatic detection of cells in microscopy image sequences is a significant task in biomedical research. However, routine microscopy images with cells, which are taken during the process whereby constant division and differentiation occur, are no...
Supervised Machine Learning Neural Networks, Computer Image Processing, Computer-Assisted
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Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models.

International journal of molecular sciences Nov 1, 2023
The data explosion driven by advancements in genomic research, such as high-throughput sequencing techniques, is constantly challenging conventional methods used in genomics. In parallel with the urgent demand for robust algorithms, deep learning has...
Algorithms Genomics Deep Learning Intelligence Language
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LSTM4piRNA: Efficient piRNA Detection in Large-Scale Genome Databases Using a Deep Learning-Based LSTM Network.

International journal of molecular sciences Oct 27, 2023
Piwi-interacting RNAs (piRNAs) are a new class of small, non-coding RNAs, crucial in the regulation of gene expression. Recent research has revealed links between piRNAs, viral defense mechanisms, and certain human cancers. Due to their clinical pote...
Piwi-Interacting RNA Sequence Analysis, RNA Algorithms RNA, Small Untranslated Deep Learning Humans RNA, Small Interfering
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Effective Local and Secondary Protein Structure Prediction by Combining a Neural Network-Based Approach with Extensive Feature Design and Selection without Reliance on Evolutionary Information.

International journal of molecular sciences Oct 27, 2023
Protein structure prediction continues to pose multiple challenges despite outstanding progress that is largely attributable to the use of novel machine learning techniques. One of the widely used representations of local 3D structure-protein blocks ...
Neural Networks, Computer Algorithms Amino Acid Sequence Amino Acids Proteins Protein Structure, Secondary
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Deep Learning Approach for Differentiating Etiologies of Pediatric Retinal Hemorrhages: A Multicenter Study.

International journal of molecular sciences Oct 12, 2023
Retinal hemorrhages in pediatric patients can be a diagnostic challenge for ophthalmologists. These hemorrhages can occur due to various underlying etiologies, including abusive head trauma, accidental trauma, and medical conditions. Accurate identif...
ROC Curve Child Retinal Hemorrhage Fundus Oculi Artificial Intelligence Deep Learning Humans
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A Machine-Learning-Based Approach to Prediction of Biogeographic Ancestry within Europe.

International journal of molecular sciences Oct 11, 2023
Data obtained with the use of massive parallel sequencing (MPS) can be valuable in population genetics studies. In particular, such data harbor the potential for distinguishing samples from different populations, especially from those coming from adj...
DNA Europe Humans Machine Learning Genetics, Population Support Vector Machine
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