AI Medical Compendium Journal:
Journal of bioinformatics and computational biology

Showing 41 to 50 of 73 articles

Integrating network topology, gene expression data and GO annotation information for protein complex prediction.

Journal of bioinformatics and computational biology Oct 30, 2018
The prediction of protein complexes based on the protein interaction network is a fundamental task for the understanding of cellular life as well as the mechanisms underlying complex disease. A great number of methods have been developed to predict p...
Transcriptome Protein Interaction Maps Computational Biology Algorithms Protein Interaction Mapping Saccharomyces cerevisiae Proteins Multiprotein Complexes Cluster Analysis Databases, Protein Gene Ontology
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Protein function prediction from protein-protein interaction network using gene ontology based neighborhood analysis and physico-chemical features.

Journal of bioinformatics and computational biology Sep 19, 2018
Protein Function Prediction from Protein-Protein Interaction Network (PPIN) and physico-chemical features using the Gene Ontology (GO) classification are indeed very useful for assigning biological or biochemical functions to a protein. They also lea...
Gene Ontology Saccharomyces cerevisiae Proteins Protein Interaction Maps Computational Biology Proteins Databases, Protein Amino Acid Sequence Saccharomyces cerevisiae Humans
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Boosted neural networks scoring functions for accurate ligand docking and ranking.

Journal of bioinformatics and computational biology Feb 4, 2018
Predicting the native poses of ligands correctly is one of the most important steps towards successful structure-based drug design. Binding affinities (BAs) estimated by traditional scoring functions (SFs) are typically used to score and rank-order p...
Neural Networks, Computer Drug Design Protein Binding Proteins Machine Learning Algorithms Molecular Docking Simulation Escherichia coli Proteins tRNA Methyltransferases Databases, Protein Structure-Activity Relationship Ligands
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Recurrent neural network-based modeling of gene regulatory network using elephant swarm water search algorithm.

Journal of bioinformatics and computational biology Jun 13, 2017
Correct inference of genetic regulations inside a cell from the biological database like time series microarray data is one of the greatest challenges in post genomic era for biologists and researchers. Recurrent Neural Network (RNN) is one of the mo...
Escherichia coli Proteins Gene Expression Regulation, Bacterial Computational Biology Models, Genetic Escherichia coli Neural Networks, Computer Algorithms Gene Regulatory Networks
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A novel model-based on FCM-LM algorithm for prediction of protein folding rate.

Journal of bioinformatics and computational biology Apr 25, 2017
The prediction of protein folding rates is of paramount importance in describing the protein folding mechanism, which has broad applications in fields such as enzyme engineering and protein engineering. Therefore, predicting protein folding rates usi...
Proteins Protein Conformation Protein Folding Neural Networks, Computer Algorithms Computational Biology Humans
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V-ELMpiRNAPred: Identification of human piRNAs by the voting-based extreme learning machine (V-ELM) with a new hybrid feature.

Journal of bioinformatics and computational biology Jan 9, 2017
Piwi-interacting RNAs (piRNAs) were recently discovered as endogenous small noncoding RNAs. Some recent research suggests that piRNAs may play an important role in cancer. So the precise identification of human piRNAs is a significant work. In this p...
RNA, Small Interfering Nucleotide Motifs Humans Machine Learning Algorithms Databases, Genetic
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The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning.

Journal of bioinformatics and computational biology Nov 29, 2016
Breast cancer histologic grade represents the morphological assessment of the tumor's malignancy and aggressiveness, which is vital in clinically planning treatment and estimating prognosis for patients. Therefore, the prediction of breast cancer gra...
Humans Machine Learning Algorithms Databases, Factual DNA Methylation Gene Expression Regulation, Neoplastic Neoplasm Grading Female Signal Transduction Support Vector Machine Breast Neoplasms Genomics
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Classification of the fragrant styles and evaluation of the aromatic quality of flue-cured tobacco leaves by machine-learning methods.

Journal of bioinformatics and computational biology Sep 9, 2016
During commercial transactions, the quality of flue-cured tobacco leaves must be characterized efficiently, and the evaluation system should be easily transferable across different traders. However, there are over 3000 chemical compounds in flue-cure...
Volatile Organic Compounds Nicotiana Plant Leaves Gas Chromatography-Mass Spectrometry Odorants Machine Learning Algorithms Support Vector Machine
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An improved method for predicting interactions between virus and human proteins.

Journal of bioinformatics and computational biology Jul 10, 2016
The interaction of virus proteins with host proteins plays a key role in viral infection and consequent pathogenesis. Many computational methods have been proposed to predict protein-protein interactions (PPIs), but most of the computational methods ...
Support Vector Machine Databases, Protein Amino Acids Humans Viral Proteins Hepacivirus Reproducibility of Results Protein Interaction Mapping Host-Pathogen Interactions Computational Biology Alphapapillomavirus Gene Ontology
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A machine-learning approach for predicting palmitoylation sites from integrated sequence-based features.

Journal of bioinformatics and computational biology Jun 14, 2016
Palmitoylation is the covalent attachment of lipids to amino acid residues in proteins. As an important form of protein posttranslational modification, it increases the hydrophobicity of proteins, which contributes to the protein transportation, orga...
Algorithms Databases, Protein Support Vector Machine Colorectal Neoplasms Amino Acids Protein Processing, Post-Translational Lipoylation Computational Biology Proteins Humans Machine Learning
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