AIMC Topic: Sequence Analysis, Protein

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Exploiting multi-layered vector spaces for signal peptide detection.

International journal of data mining and bioinformatics Jan 1, 2015
Analysing and classifying sequences based on similarities and differences is a mathematical problem of escalating relevance and importance in many scientific disciplines. One of the primary challenges in applying machine learning algorithms to sequen...
Sequence Alignment Databases, Protein Amino Acid Sequence Sequence Analysis, Protein Data Mining Pattern Recognition, Automated Molecular Sequence Data Peptides Support Vector Machine Algorithms Protein Sorting Signals
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Granular support vector machine to identify unknown structural classes of protein.

International journal of data mining and bioinformatics Jan 1, 2015
To date, classification of structural class using local protein structure rather than the whole structure has been gaining widespread attention. It is noted that the structural class lies in local composition or arrangement of secondary structure, wh...
Protein Structure, Secondary Sequence Analysis, Protein Databases, Protein Support Vector Machine Proteins Algorithms
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A novel fractal approach for predicting G-protein-coupled receptors and their subfamilies with support vector machines.

Bio-medical materials and engineering Jan 1, 2015
G-protein-coupled receptors (GPCRs) are seven membrane-spanning proteins and regulate many important physiological processes, such as vision, neurotransmission, immune response and so on. GPCRs-related pathways are the targets of a large number of ma...
Fractals Algorithms Support Vector Machine Databases, Protein Receptors, G-Protein-Coupled Pattern Recognition, Automated Molecular Sequence Data Sequence Alignment Amino Acid Sequence Sequence Analysis, Protein Structure-Activity Relationship Data Mining
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Sequence-based protein superfamily classification using computational intelligence techniques: a review.

International journal of data mining and bioinformatics Jan 1, 2015
Protein superfamily classification deals with the problem of predicting the family membership of newly discovered amino acid sequence. Although many trivial alignment methods are already developed by previous researchers, but the present trend demand...
Computational Biology Proteins Amino Acid Sequence Sequence Analysis, Protein Artificial Intelligence Algorithms
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Meta-learning framework applied in bioinformatics inference system design.

International journal of data mining and bioinformatics Jan 1, 2015
This paper describes a meta-learner inference system development framework which is applied and tested in the implementation of bioinformatic inference systems. These inference systems are used for the systematic classification of the best candidates...
Algorithms Computer Simulation Artificial Intelligence Metabolome Meta-Analysis as Topic Bacteria Signal Transduction Sequence Analysis, Protein Bacterial Proteins Models, Biological Pattern Recognition, Automated
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Artificial neural networks for dihedral angles prediction in enzyme loops: a novel approach.

International journal of bioinformatics research and applications Jan 1, 2015
Structure prediction of proteins is considered a limiting step and determining factor in drug development and in the introduction of new therapies. Since the 3D structures of proteins determine their functionalities, prediction of dihedral angles rem...
Pattern Recognition, Automated Protein Conformation Models, Chemical Amino Acid Sequence Enzymes Sequence Analysis, Protein Molecular Sequence Data Neural Networks, Computer Protein Structure, Tertiary Computer Simulation Models, Molecular
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