AIMC Journal:
International journal of molecular sciences

Showing 221 to 230 of 423 articles

3-Dimensional Immunostaining and Automated Deep-Learning Based Analysis of Nerve Degeneration.

International journal of molecular sciences Nov 26, 2022
Multiple sclerosis (MS) is an autoimmune and neurodegenerative disease driven by inflammation and demyelination in the brain, spinal cord, and optic nerve. Optic neuritis, characterized by inflammation and demyelination of the optic nerve, is a sympt...
Mice, Inbred C57BL Disease Models, Animal Multiple Sclerosis Neurodegenerative Diseases Animals Mice Inflammation Deep Learning Optic Neuritis Encephalomyelitis, Autoimmune, Experimental Nerve Degeneration
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A Graph Neural Network Approach for the Analysis of siRNA-Target Biological Networks.

International journal of molecular sciences Nov 17, 2022
Many biological systems are characterised by biological entities, as well as their relationships. These interaction networks can be modelled as graphs, with nodes representing bio-entities, such as molecules, and edges representing relations among th...
Base Sequence Machine Learning Neural Networks, Computer RNA, Small Interfering Algorithms
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A New Hybrid Neural Network Deep Learning Method for Protein-Ligand Binding Affinity Prediction and De Novo Drug Design.

International journal of molecular sciences Nov 11, 2022
Accurately predicting ligand binding affinity in a virtual screening campaign is still challenging. Here, we developed hybrid neural network (HNN) machine deep learning methods, HNN-denovo and HNN-affinity, by combining the 3D-CNN (convolutional neur...
Ligands Drug Design Proteins Deep Learning Neural Networks, Computer Molecular Docking Simulation
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Systems Drug Design for Muscle Invasive Bladder Cancer and Advanced Bladder Cancer by Genome-Wide Microarray Data and Deep Learning Method with Drug Design Specifications.

International journal of molecular sciences Nov 10, 2022
Bladder cancer is the 10th most common cancer worldwide. Due to the lack of understanding of the oncogenic mechanisms between muscle-invasive bladder cancer (MIBC) and advanced bladder cancer (ABC) and the limitations of current treatments, novel the...
Humans Drug Design Microarray Analysis Muscles Urinary Bladder Neoplasms Deep Learning
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Application of Computational Biology and Artificial Intelligence in Drug Design.

International journal of molecular sciences Nov 5, 2022
Traditional drug design requires a great amount of research time and developmental expense. Booming computational approaches, including computational biology, computer-aided drug design, and artificial intelligence, have the potential to expedite the...
Computational Biology Computer-Aided Design Artificial Intelligence Drug Discovery Drug Design
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RNADSN: Transfer-Learning 5-Methyluridine (mU) Modification on mRNAs from Common Features of tRNA.

International journal of molecular sciences Nov 4, 2022
One of the most abundant non-canonical bases widely occurring on various RNA molecules is 5-methyluridine (m5U). Recent studies have revealed its influences on the development of breast cancer, systemic lupus erythematosus, and the regulation of stre...
Uridine RNA, Transfer RNA, Messenger Neural Networks, Computer
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PollenDetect: An Open-Source Pollen Viability Status Recognition System Based on Deep Learning Neural Networks.

International journal of molecular sciences Nov 3, 2022
Pollen grains, the male gametophytes for reproduction in higher plants, are vulnerable to various stresses that lead to loss of viability and eventually crop yield. A conventional method for assessing pollen viability is manual counting after stainin...
Software Pollen Plant Breeding Hot Temperature Deep Learning
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Convolutional Neural Network Model Based on 2D Fingerprint for Bioactivity Prediction.

International journal of molecular sciences Oct 30, 2022
Determining and modeling the possible behaviour and actions of molecules requires investigating the basic structural features and physicochemical properties that determine their behaviour during chemical, physical, biological, and environmental proce...
Neural Networks, Computer Algorithms Machine Learning
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What Is a Digital Twin? Experimental Design for a Data-Centric Machine Learning Perspective in Health.

International journal of molecular sciences Oct 29, 2022
The idea of a digital twin has recently gained widespread attention. While, so far, it has been used predominantly for problems in engineering and manufacturing, it is believed that a digital twin also holds great promise for applications in medicine...
Big Data Humans Research Design Machine Learning
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Addressing Noise and Estimating Uncertainty in Biomedical Data through the Exploration of Chemical Space.

International journal of molecular sciences Oct 26, 2022
Noise is a basic ingredient in data, since observed data are always contaminated by unwanted deviations, i.e., noise, which, in the case of overdetermined systems (with more data than model parameters), cause the corresponding linear system of equati...
Artificial Intelligence Uncertainty Drug Repositioning Phenotype Drug Discovery
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