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Side chain substitution benchmark for peptide/MHC interaction.

ABSTRACT: The prediction of T-cell epitopes is an essential part in virtual immunology. Apart from sequence-based techniques, which achieve good results but fail to give insight into the binding behavior of a certain peptide binding to a major histocompatibility complex, structure-based approaches are another important technique. An essential step is the correct placement of the side chains for a given peptide in cases where no experimental data for the structure are available. To our knowledge, no benchmark for side chain substitution in the area of HLA has been reported in the literature. Here, we present a comparison of five different tools (SCWRL, SCATD, SPDBV, SCit, IRECS) applicable for side chain substitution. Each tool is tested on 29 different HLA-A2 structures with experimentally known side chain positions. Parts of the benchmark are correctness, reliability, runtime, and usability. For validation, the root mean square deviations between X-ray structures and predicted structures are used. All tools show different strengths and weaknesses.

SUBMITTER: Knapp B

PROVIDER: S-EPMC2386744 | biostudies-literature | 2008 Jun

REPOSITORIES: biostudies-literature

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Side chain substitution benchmark for peptide/MHC interaction.

Knapp Bernhard B Omasits Ulrich U Schreiner Wolfgang W

Protein science : a publication of the Protein Society 20080423 6

The prediction of T-cell epitopes is an essential part in virtual immunology. Apart from sequence-based techniques, which achieve good results but fail to give insight into the binding behavior of a certain peptide binding to a major histocompatibility complex, structure-based approaches are another important technique. An essential step is the correct placement of the side chains for a given peptide in cases where no experimental data for the structure are available. To our knowledge, no benchm ...[more]

PMID: 18434501

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Project description:The DNA-templated polymerization of synthetic building blocks provides a potential route to the laboratory evolution of sequence-defined polymers with structures and properties not necessarily limited to those of natural biopolymers. We previously reported the efficient and sequence-specific DNA-templated polymerization of peptide nucleic acid (PNA) aldehydes. Here, we report the enzyme-free, DNA-templated polymerization of side-chain-functionalized PNA tetramer and pentamer aldehydes. We observed that polymerization of tetramer and pentamer PNA building blocks with a single lysine-based side chain at various positions in the building block could proceed efficiently and sequence specifically. In addition, DNA-templated polymerization also proceeded efficiently and in a sequence-specific manner with pentamer PNA aldehydes containing two or three lysine side chains in a single building block to generate more densely functionalized polymers. To further our understanding of side-chain compatibility and expand the capabilities of this system, we also examined the polymerization efficiencies of 20 pentamer building blocks each containing one of five different side-chain groups and four different side-chain regio- and stereochemistries. Polymerization reactions were efficient for all five different side-chain groups and for three of the four combinations of side-chain regio- and stereochemistries. Differences in the efficiency and initial rate of polymerization correlate with the apparent melting temperature of each building block, which is dependent on side-chain regio- and stereochemistry but relatively insensitive to side-chain structure among the substrates tested. Our findings represent a significant step toward the evolution of sequence-defined synthetic polymers and also demonstrate that enzyme-free nucleic acid-templated polymerization can occur efficiently using substrates with a wide range of side-chain structures, functionalization positions within each building block, and functionalization densities.

Dataset Information

Side chain substitution benchmark for peptide/MHC interaction.

Publications

Side chain substitution benchmark for peptide/MHC interaction.

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