AIMC Journal:
International journal of molecular sciences

Showing 391 to 400 of 423 articles

Skin Sensitization Testing-What's Next?

International journal of molecular sciences Feb 4, 2019
There is an increasing demand for alternative in vitro methods to replace animal testing, and, to succeed, new methods are required to be at least as accurate as existing in vivo tests. However, skin sensitization is a complex process requiring coord...
Humans Hypersensitivity, Immediate Skin Tests Hypersensitivity, Delayed Machine Learning Genomics
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Network-Based Assessment of Adverse Drug Reaction Risk in Polypharmacy Using High-Throughput Screening Data.

International journal of molecular sciences Jan 17, 2019
The risk of adverse drug reactions increases in a polypharmacology setting. High-throughput drug screening with transcriptomics applied to human cells has shown that drugs have effects on several molecular pathways, and these affected pathways may be...
High-Throughput Screening Assays Humans Data Interpretation, Statistical Polypharmacy Neural Networks, Computer Drug-Related Side Effects and Adverse Reactions Algorithms Risk Assessment Drug Design
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Dual Convolutional Neural Network Based Method for Predicting Disease-Related miRNAs.

International journal of molecular sciences Nov 23, 2018
Identification of disease-related microRNAs (disease miRNAs) is helpful for understanding and exploring the etiology and pathogenesis of diseases. Most of recent methods predict disease miRNAs by integrating the similarities and associations of miRNA...
Humans Neural Networks, Computer ROC Curve Gene Regulatory Networks Genetic Predisposition to Disease Algorithms Reproducibility of Results Genetic Association Studies MicroRNAs Databases, Genetic Disease Susceptibility
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Comparative Evaluation of Machine Learning Strategies for Analyzing Big Data in Psychiatry.

International journal of molecular sciences Oct 29, 2018
The requirement of innovative big data analytics has become a critical success factor for research in biological psychiatry. Integrative analyses across distributed data resources are considered essential for untangling the biological complexity of m...
Big Data Schizophrenia Data Mining Algorithms Transcriptome Humans Machine Learning
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Decision-Tree Based Meta-Strategy Improved Accuracy of Disorder Prediction and Identified Novel Disordered Residues Inside Binding Motifs.

International journal of molecular sciences Oct 7, 2018
Using computational techniques to identify intrinsically disordered residues is practical and effective in biological studies. Therefore, designing novel high-accuracy strategies is always preferable when existing strategies have a lot of room for im...
Sequence Analysis, Protein Software Intrinsically Disordered Proteins Humans Neural Networks, Computer
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A Hybrid Deep Learning Model for Predicting Protein Hydroxylation Sites.

International journal of molecular sciences Sep 18, 2018
Protein hydroxylation is one type of post-translational modifications (PTMs) playing critical roles in human diseases. It is known that protein sequence contains many uncharacterized residues of proline and lysine. The question that needs to be answe...
Proteins Models, Biological Hydroxylation Hydroxylysine Neural Networks, Computer Hydroxyproline Humans Deep Learning Protein Processing, Post-Translational
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Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis.

International journal of molecular sciences Aug 10, 2018
Toxicity prediction is very important to public health. Among its many applications, toxicity prediction is essential to reduce the cost and labor of a drug's preclinical and clinical trials, because a lot of drug evaluations (cellular, animal, and c...
Humans Machine Learning Gene Expression Profiling Transcriptome Animals Natural Language Processing
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RFAmyloid: A Web Server for Predicting Amyloid Proteins.

International journal of molecular sciences Jul 16, 2018
Amyloid is an insoluble fibrous protein and its mis-aggregation can lead to some diseases, such as Alzheimer's disease and Creutzfeldt⁻Jakob's disease. Therefore, the identification of amyloid is essential for the discovery and understanding of disea...
Reproducibility of Results Computational Biology Algorithms Sequence Analysis, Protein Support Vector Machine Databases, Protein Amyloidogenic Proteins Internet
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SeqSVM: A Sequence-Based Support Vector Machine Method for Identifying Antioxidant Proteins.

International journal of molecular sciences Jun 15, 2018
Antioxidant proteins can be beneficial in disease prevention. More attention has been paid to the functionality of antioxidant proteins. Therefore, identifying antioxidant proteins is important for the study. In our work, we propose a computational m...
Humans Sequence Analysis, Protein Software Oxidative Stress Support Vector Machine Animals Protein Domains
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MetStabOn-Online Platform for Metabolic Stability Predictions.

International journal of molecular sciences Mar 30, 2018
Metabolic stability is an important parameter to be optimized during the complex process of designing new active compounds. Tuning this parameter with the simultaneous maintenance of a desired compound's activity is not an easy task due to the extrem...
Databases, Factual Software Bayes Theorem Humans Computer Simulation Animals Algorithms Machine Learning
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