AIMC Topic: Amino Acid Sequence

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Sequence-based predictive modeling to identify cancerlectins.

Oncotarget Apr 25, 2017
Lectins are a diverse type of glycoproteins or carbohydrate-binding proteins that have a wide distribution to various species. They can specially identify and exclusively bind to a certain kind of saccharide groups. Cancerlectins are a group of lecti...
Humans Algorithms Reproducibility of Results Databases, Protein Amino Acid Sequence Lectins Neoplasms ROC Curve Support Vector Machine
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Structural classification of protein sequences based on signal processing and support vector machines.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The function of any protein depends directly on its secondary and tertiary structure. Proteins can fold into a three-dimensional shape, which is primarily depended on the arrangement of amino acids in the primary structure. In recent years, with the ...
Signal Processing, Computer-Assisted Amino Acid Sequence Protein Structure, Secondary Computational Biology Support Vector Machine Proteins
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The importance of physicochemical characteristics and nonlinear classifiers in determining HIV-1 protease specificity.

Bioengineered Apr 2, 2016
This paper reviews recent research relating to the application of bioinformatics approaches to determining HIV-1 protease specificity, outlines outstanding issues, and presents a new approach to addressing these issues. Leading machine learning theor...
Support Vector Machine Amino Acid Sequence Sequence Analysis, Protein Artificial Intelligence Algorithms
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CAMELOT: A machine learning approach for coarse-grained simulations of aggregation of block-copolymeric protein sequences.

The Journal of chemical physics Dec 28, 2015
We report the development and deployment of a coarse-graining method that is well suited for computer simulations of aggregation and phase separation of protein sequences with block-copolymeric architectures. Our algorithm, named CAMELOT for Coarse-g...
Humans Machine Learning Computer Simulation Huntingtin Protein Nerve Tissue Proteins Amino Acid Sequence Molecular Sequence Data
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Crystallization and X-ray diffraction of an ectoine hydroxylase from Bacillus pseudofirmus OF4.

Wei sheng wu xue bao = Acta microbiologica Sinica Nov 4, 2015
OBJECTIVE: To study crystallization and X-Ray diffraction of ectoine hydroxylase from Bacillus pseudofirmus OF4.
Molecular Sequence Data Crystallization Sequence Alignment Bacterial Proteins Amino Acid Sequence Bacillus Amino Acids, Diamino X-Ray Diffraction Mixed Function Oxygenases
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[Alkaline-adapted beta-mannanase of Bacillus pumilus: gene heterologous expression and enzyme characterization].

Wei sheng wu xue bao = Acta microbiologica Sinica Nov 4, 2015
OBJECTIVE: We expressed a novel alkaline-adapted beta-mannanase gene and characterized the enzyme for potential industrial applications.
Amino Acid Sequence Cloning, Molecular Enzyme Stability Phylogeny Gene Expression Escherichia coli Bacterial Proteins Kinetics Base Sequence Bacillus beta-Mannosidase Molecular Sequence Data Sequence Alignment Alkalies
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AVP-IC50 Pred: Multiple machine learning techniques-based prediction of peptide antiviral activity in terms of half maximal inhibitory concentration (IC50).

Biopolymers Nov 1, 2015
Peptide-based antiviral therapeutics has gradually paved their way into mainstream drug discovery research. Experimental determination of peptides' antiviral activity as expressed by their IC50 values involves a lot of effort. Therefore, we have deve...
Peptides Antiviral Agents Internet Machine Learning Algorithms Amino Acid Sequence Inhibitory Concentration 50 Molecular Sequence Data
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Predicting Protein-Protein Interaction Sites with a Novel Membership Based Fuzzy SVM Classifier.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2015
Predicting residues that participate in protein-protein interactions (PPI) helps to identify, which amino acids are located at the interface. In this paper, we show that the performance of the classical support vector machine (SVM) algorithm can furt...
Sequence Analysis, Protein Amino Acid Sequence Pattern Recognition, Automated Binding Sites Protein Interaction Mapping Molecular Sequence Data Sequence Alignment Fuzzy Logic Models, Statistical Models, Chemical Algorithms Computer Simulation Humans Protein Binding
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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...
Amino Acid Sequence Data Mining Pattern Recognition, Automated Molecular Sequence Data Sequence Analysis, Protein HLA-A Antigens Databases, Protein Structure-Activity Relationship Leukocytes Humans Algorithms Support Vector Machine
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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...
Pattern Recognition, Automated Molecular Sequence Data Sequence Alignment Sequence Analysis, Protein Algorithms Protein Sorting Signals Databases, Protein Peptides Amino Acid Sequence Support Vector Machine Data Mining
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