AIMC Journal:
International journal of molecular sciences

Showing 191 to 200 of 423 articles

3D Visualization, Skeletonization and Branching Analysis of Blood Vessels in Angiogenesis.

International journal of molecular sciences Apr 23, 2023
Angiogenesis is the process of new blood vessels growing from existing vasculature. Visualizing them as a three-dimensional (3D) model is a challenging, yet relevant, task as it would be of great help to researchers, pathologists, and medical doctors...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Morphogenesis Cardiovascular Physiological Phenomena
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DeepSTABp: A Deep Learning Approach for the Prediction of Thermal Protein Stability.

International journal of molecular sciences Apr 18, 2023
Proteins are essential macromolecules that carry out a plethora of biological functions. The thermal stability of proteins is an important property that affects their function and determines their suitability for various applications. However, curren...
Deep Learning Proteome Protein Stability
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Enhancing Conformational Sampling for Intrinsically Disordered and Ordered Proteins by Variational Autoencoder.

International journal of molecular sciences Apr 7, 2023
Intrinsically disordered proteins (IDPs) account for more than 50% of the human proteome and are closely associated with tumors, cardiovascular diseases, and neurodegeneration, which have no fixed three-dimensional structure under physiological condi...
Molecular Dynamics Simulation Humans Intrinsically Disordered Proteins Protein Conformation Artificial Intelligence Magnetic Resonance Spectroscopy
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Artificial Intelligence That Predicts Sensitizing Potential of Cosmetic Ingredients with Accuracy Comparable to Animal and In Vitro Tests-How Does the Infotechnomics Compare to Other "Omics" in the Cosmetics Safety Assessment?

International journal of molecular sciences Apr 6, 2023
The aim of the current study was to develop an in silico model to predict the sensitizing potential of cosmetic ingredients based on their physicochemical characteristics and to compare the predictions with historical animal data and results from "om...
Animals Haptens In Vitro Techniques Consumer Product Safety Artificial Intelligence Computer Simulation Bayes Theorem Cosmetics
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A Systematic Review of Deep Learning Methodologies Used in the Drug Discovery Process with Emphasis on In Vivo Validation.

International journal of molecular sciences Mar 31, 2023
The discovery and development of new drugs are extremely long and costly processes. Recent progress in artificial intelligence has made a positive impact on the drug development pipeline. Numerous challenges have been addressed with the growing explo...
Drug Discovery Artificial Intelligence Deep Learning Algorithms Neural Networks, Computer
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Integrating AI/ML Models for Patient Stratification Leveraging Omics Dataset and Clinical Biomarkers from COVID-19 Patients: A Promising Approach to Personalized Medicine.

International journal of molecular sciences Mar 26, 2023
The COVID-19 pandemic has presented an unprecedented challenge to the healthcare system. Identifying the genomics and clinical biomarkers for effective patient stratification and management is critical to controlling the spread of the disease. Omics ...
COVID-19 Biomarkers Machine Learning Pandemics Precision Medicine Humans Artificial Intelligence
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Accurate Prediction of Transcriptional Activity of Single Missense Variants in HIV Tat with Deep Learning.

International journal of molecular sciences Mar 24, 2023
Tat is an essential gene for increasing the transcription of all HIV genes, and affects HIV replication, HIV exit from latency, and AIDS progression. The Tat gene frequently mutates in vivo and produces variants with diverse activities, contributing ...
Transcriptional Activation Mutation, Missense tat Gene Products, Human Immunodeficiency Virus Transcription, Genetic Deep Learning Humans Acquired Immunodeficiency Syndrome
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A Dynamic Recurrent Neural Network for Predicting Higher Heating Value of Biomass.

International journal of molecular sciences Mar 17, 2023
The higher heating value (HHV) is the main property showing the energy amount of biomass samples. Several linear correlations based on either the proximate or the ultimate analysis have already been proposed for predicting biomass HHV. Since the HHV ...
Neural Networks, Computer Algorithms Biomass Carbon Heating
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Deep Learning of Phase-Contrast Images of Cancer Stem Cells Using a Selected Dataset of High Accuracy Value Using Conditional Generative Adversarial Networks.

International journal of molecular sciences Mar 10, 2023
Artificial intelligence (AI) technology for image recognition has the potential to identify cancer stem cells (CSCs) in cultures and tissues. CSCs play an important role in the development and relapse of tumors. Although the characteristics of CSCs h...
Neoplastic Stem Cells Artificial Intelligence Neoplasms Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted
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A Unified Deep Learning Framework for Single-Cell ATAC-Seq Analysis Based on ProdDep Transformer Encoder.

International journal of molecular sciences Mar 1, 2023
Recent advances in single-cell sequencing assays for the transposase-accessibility chromatin (scATAC-seq) technique have provided cell-specific chromatin accessibility landscapes of cis-regulatory elements, providing deeper insights into cellular sta...
Transcription Factors Gene Expression Regulation Chromatin Chromatin Immunoprecipitation Sequencing Deep Learning Single-Cell Analysis
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