ResourceLife Sciences
Precise Predictions of Linear B Cell Epitopes in Protean 3D
11 Jun 2013B cell epitopes - the part of an antigen recognized by an antibody are conformational in nature; however, accurately predicting these epitopes is difficult for proteins with- out a known three-dimensional (3D) structure. In this white paper, DNASTAR presents the NeoClone method, a machine learning approach that improves the ability to predict linear B cell epitopes (a pep- tide segment) using only sequence-based information. This method provides better overall predictive accuracy than COBEpro and Epitopia, two leading epitope prediction methods.
Links
Tags
Genome AnalysisGenomics, the study of genomes, includes functional genomics, evolutionary genomics and comparative genomics. There are many genomic technologies such as DNA sequencing of whole genomes, computational biology and bioinformatics. DNA and nucleic acids must be isolated and concentrated from cells for analysis with kits, automated analyzers and software. Other useful technologies for studying genomics include PCR, microarrays and electrophoresis.ProteomicsProteomics is the systemic bioinformatics study of proteins and amino acids, including their structure, size, function and identification. Tools used in proteomics include chromatography, blotting and gels, protein arrays, mass spectrometry and ELISA and associated analysis software. Analyzers and proteomic systems should be sensitive, high resolution, fast and may be automated for high-throughput.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.Epitope