Biomedical subjects

Z Dosztányi

Publications and source records attributed to Z Dosztányi.

5 recordsLinked to original sources

PubMed2001

Amino acid similarity matrices based on force fields.

MOTIVATION: We propose a general method for deriving amino acid substitution matrices from low resolution force fields. Unlike current popular methods, the approach does not rely on evolutionary arguments or alignment of sequences or structures. Instead, residues are computationally mutated and their contribution to the total energy/score is collected. The average of these values over each position within a set of proteins results in a substitution matrix. RESULTS: Example substitution matrices have been calculated from force fields based on different philosophies and their performance compared with conventional substitution matrices. Although this can produce useful substitution matrices, the methodology highlights the virtues, deficiencies and biases of the source force fields. It also allows a rather direct comparison of sequence alignment methods with the score functions underlying protein sequence to structure threading. AVAILABILITY: Example substitution matrices are available from http://www.rsc.anu.edu.au/~zsuzsa/suppl/matrices.html. SUPPLEMENTARY INFORMATION: The list of proteins used for data collection and the optimized parameters for the alignment are given as supplementary material at http://www.rsc.anu.edu.au/~zsuzsa/suppl/matrices.html.

Amino Acid Substitution↗

PubMed2000

A repetitive sequence of Epstein-Barr virus nuclear antigen 6 comprises overlapping T cell epitopes which induce HLA-DR-restricted CD4(+) T lymphocytes.

Most human adults carry the Epstein-Barr virus (EBV) and develop immunological memory against the structural and the virus-encoded cellular proteins. The EBV nuclear antigen 6 (EBNA6) elicits cytotoxic T cell responses and it also maintains a persistent antibody response. The majority of sera from EBV-seropositive individuals reacts with a synthetic peptide, p63, comprising 21 amino acids of a repetitive region of EBNA6. CD4(+) T lymphocytes, with specificity for p63, could be recalled from the T cell repertoire of EBV carriers that expressed certain HLA-DR allotypes which were identified as good binders of p63 by an in vitro flow cytometric assay. Analysis of the HLA-DR/p63 interaction by molecular mechanics calculations indicated the presence of multiple overlapping epitopes which were predicted to bind in a HLA-DRB1 allo- and subtype-specific manner. Specific activation of p63-selected long-term CD4(+) T cell cultures resulted in a proliferative response, in the production of IL-2 and in the secretion of high levels of tumor necrosis factor as measured by bioassays. Proliferation and cytokine production of p63-specific T cells could be induced by p63-loaded HLA-DR-matched antigen-presenting cells and by B cells co-expressing relevant HLA-DR molecules and EBNA6. Our results show that peptides of an EBNA6 repeat region induce CD4(+) T cells which can react with EBNA6-carrying cells in many individuals. We suggest that these T(h) cells may be important in conditioning dendritic cells for initiation potent virus-specific immune responses, provide help for EBV-specific B cells, drive IgG isotype switch and support the sustained effector function of memory cytotoxic T lymphocytes.

Adult↗

PubMed1997

Stabilization centers in proteins: identification, characterization and predictions.

Methods are presented to locate residues, stabilization center elements, which are expected to stabilize protein structures by preventing their decay with their cooperative long range interactions. Artificial neural network-based algorithms were developed to predict these residues from the primary structure of single proteins and from the amino acid sequences of homologous proteins. The prediction accuracy using only single sequence information is 65%, but the incorporation of evolutionary information in the form of multiple alignments and conservation scores raises the efficiency by 3%. The composition, relative accessibility, number and type of interactions, conservation and the X-ray thermal factor of the identified stabilization center residues are different, not only from the whole data set but from the rest of the long range interacting residues as well. The most frequent stabilization center residues are usually found at buried positions and have a hydrophobic or aromatic side-chain, but some polar or charged residues also play an important role in the stabilization. The stabilization centers show significant difference in the composition and in the type of linked secondary structural elements compared with the rest of the residues. The performed structural and sequential conservation analysis showed the higher conservation of stabilization centers over protein families. The relation of the proposed stabilization centers to folding nuclei is also discussed.

Algorithms↗

PubMed1997

The role of long-range interactions in defining the secondary structure of proteins is overestimated.

MOTIVATION: Secondary structure predictions based on the properties of individual residues, and sometimes on local interactions, usually fail to exceed 65% efficiency. Therefore, non-local, long-range interactions seem to be a significant cause of this limitation. RESULTS: In this paper, we apply approaches to localize highly interacting residues and clusters of residues involved in multiple non-local interactions, and test various secondary structure predictions on this separate subset to assess the effect of long-range interactions on the prediction efficiencies. It was found that only a marginal part of the failure of secondary structure predictions results from the presence of long-range interactions. Alternative possibilities are also discussed.

Algorithms↗

PubMed1997

Interresidue interactions in protein classes.

The free energy difference between folded and unfolded state is about the same for most proteins and it is not more than the energy of a few noncovalent interactions. In addition to the numerous noncovalent interactions, some proteins contain one or more disulfide bonds, which, as covalent crosslinks, significantly stabilize their tertiary structure. Correlation between the presence of disulfide bond(s), and the number noncovalent interresidue interactions of various kinds is analyzed here. The number of interactions per residue is almost the same for all protein. Also the number of long-range interactions per residue is the same in all proteins. Proteins with S--S bond(s) (extracellular proteins) have more medium-range and fewer short-range interactions than those without S--S bonds. However, the difference is independent of the number of these covalent crosslinks. We concluded that the different distributions of the various kinds of noncovalent interaction reflect the needs of proteins in the different environments, the extracellular and the intracellular ones, rather than the presence of the disulfide bond(s). We also pointed out that the observed differences in the distributions of short- and medium-range interactions are in good agreement with different secondary structure compositions of extracellular and intracellular proteins.

Amino Acids↗