AIMC Topic: Peptides

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The quantitative prediction of HLA-B*2705 peptide binding affinities using Support Vector Regression to gain insights into its role for the Spondyloarthropathies.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Computational methods are increasingly utilised in many immunoinformatics problems such as the prediction of binding affinity of peptides. The peptides could provide valuable insight into the drug design and development such as vaccines. Moreover, th...
Humans Peptides Protein Binding Computational Biology Support Vector Machine Alleles HLA-B27 Antigen Spondylarthropathies
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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...
Algorithms Peptides Support Vector Machine Databases, Protein Amino Acid Sequence Data Mining Pattern Recognition, Automated Molecular Sequence Data Sequence Alignment Sequence Analysis, Protein Protein Sorting Signals
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Computer-based prediction of mitochondria-targeting peptides.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Computational methods are invaluable when protein sequences, directly derived from genomic data, need functional and structural annotation. Subcellular localization is a feature necessary for understanding the protein role and the compartment where t...
Humans Artificial Intelligence Peptides Genomics Computational Biology Internet Models, Biological Mitochondria Datasets as Topic Protein Transport Mitochondrial Proteins
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Prediction of bioactive peptides using artificial neural networks.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Peptides are molecules of varying complexity, with different functions in the organism and with remarkable therapeutic interest. Predicting peptide activity by computational means can help us to understand their mechanism of action and deliver powerf...
Neural Networks, Computer Software Anti-Infective Agents Peptides Drug Design Computational Biology Models, Chemical Databases, Pharmaceutical
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