AI Medical Compendium Topic:
Amino Acid Sequence

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Sequence based human leukocyte antigen gene prediction using informative physicochemical properties.

International journal of data mining and bioinformatics Jan 1, 2015
Prediction of different classes within the human leukocyte antigen (HLA) gene family can provide insight into the human immune system and its response to viral pathogens. Therefore, it is desirable to develop an efficient and easily interpretable met...
Structure-Activity Relationship Support Vector Machine Sequence Analysis, Protein Leukocytes Databases, Protein Pattern Recognition, Automated HLA-A Antigens Humans Molecular Sequence Data Amino Acid Sequence Algorithms Data Mining
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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 Support Vector Machine Sequence Analysis, Protein Databases, Protein Protein Sorting Signals Algorithms Pattern Recognition, Automated Peptides Amino Acid Sequence Molecular Sequence Data Data Mining
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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 Sequence Alignment Amino Acid Sequence Algorithms Sequence Analysis, Protein Data Mining Pattern Recognition, Automated Molecular Sequence Data Receptors, G-Protein-Coupled Structure-Activity Relationship Support Vector Machine Databases, Protein
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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...
Sequence Analysis, Protein Algorithms Computational Biology Proteins Amino Acid Sequence Artificial Intelligence
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Computer-Aided Virtual Screening and Designing of Cell-Penetrating Peptides.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Cell-penetrating peptides (CPPs) have proven their potential as versatile drug delivery vehicles. Last decade has witnessed an unprecedented growth in CPP-based research, demonstrating the potential of CPPs as therapeutic candidates. In the past, man...
Machine Learning Computer Simulation Humans Support Vector Machine Drug Carriers Animals Computer-Aided Design Amino Acid Motifs Cell-Penetrating Peptides Molecular Sequence Data Proteins Amino Acid Sequence
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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 Computer Simulation Protein Structure, Tertiary Neural Networks, Computer Models, Molecular
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