SEARCH · Search PubMed

Results for “sequences”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

SourceResearch connectionFrom yearThrough year

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 415 records · Page 23Linked to original sources

PubMed2005

SPIDER: software for protein identification from sequence tags with de novo sequencing error.

For the identification of novel proteins using MS/MS, de novo sequencing software computes one or several possible amino acid sequences (called sequence tags) for each MS/MS spectrum. Those tags are then used to match, accounting amino acid mutations, the sequences in a protein database. If the de novo sequencing gives correct tags, the homologs of the proteins can be identified by this approach and software such as MS-BLAST is available for the matching. However, de novo sequencing very often gives only partially correct tags. The most common error is that a segment of amino acids is replaced by another segment with approximately the same masses. We developed a new efficient algorithm to match sequence tags with errors to database sequences for the purpose of protein and peptide identification. A software package, SPIDER, was developed and made available on Internet for free public use. This paper describes the algorithms and features of the SPIDER software.

Algorithms↗

PubMed1999

Modeling three-dimensional protein structures for amino acid sequences of the CASP3 experiment using sequence-derived predictions.

Homology or comparative modeling is aimed at modeling the three-dimensional structure of a target sequence of unknown structure using the framework of an already known fold. Traditionally, homology modeling has been applied to targets with clear sequence similarity to proteins of known structure. Because methods to identify increasingly distant relationships have been developed, homology models can now be built for a wider range of targets. The first challenge in homology modeling is to obtain an initial, accurate, sequence-structure alignment with the most compatible fold. In CASP3, the abilities of fold-recognition methods to fulfill this challenge were evaluated with a number of target sequences of unknown structure. Sequence-structure alignments for 33 of the CASP3 targets using the fold-recognition method SDP were submitted (Fischer and Eisenberg, Protein Sci 1996; 5:947-955). After the three-dimensional structures of the sequences were subsequently released, the quality of the predictions were evaluated. Here I describe three of the predictions for targets with little sequence similarity to proteins of known structure that were judged by the assessors to be of higher quality. For two of these predictions, the sequence-structure alignment corresponded perfectly to the structural alignment (zero average shift), and for the third, the average shift was 0.1. This alignment accuracy entails an ideal starting point for homology modeling.

Amino Acid Sequence↗

PubMed1996

High sensitivity of the single-strand conformation polymorphism method for detecting sequence variations in the low-density lipoprotein receptor gene validated by DNA sequencing.

We designed oligonucleotide primer pairs to amplify the promoter region, the translated exon sequences, and the flanking intron sequences of all 18 exons of the LDL receptor gene to compare the ability of the PCR single-strand conformation polymorphism (PCR-SSCP) method with semiautomated solid-phase genomic DNA sequencing to detect sequence variations. In 20 apparently unrelated Danish patients with a clinical diagnosis of heterozygous familial hypercholesterolemia (FH), we identified 13 different mutations in the LDL receptor gene: two silent (C331C, N494 N); five missense (W66G, E119K, T383P, W556S, T7051); one nonsense (W23X); three splice-site (313 + 1G-->A, 1061-8T-->C, 1846-1G-->A); and two frameshift (335del10, 1650delG) mutations. Four of these mutations, N494 N, T383P, 1061-8T-->C, and W556S, have not been reported earlier. The pathogenicity of the T383P, 1061-8T-->C, and W556S mutations remains to be established by in vitro mutagenesis and transfection studies. One patient had three mutations (335del10, 1061-8T-->C, and T705I) on the same allele. Further, nine well-known polymorphisms were detectable with this methodological setup. Direct DNA sequencing of the PCR products used for the SSCP analysis did not reveal any sequence variations not detected by the PCR-SSCP method. In two patients we did not detect any mutation by either method. We conclude that the PCR-SSCP analysis, performed as described here, is as sensitive and efficient as DNA sequencing in the ability to identify the sequence variations in the LDL receptor gene of the patients with heterozygous FH of this study.

Base Sequence↗

PubMed2006

Novel alpha-conotoxins identified by gene sequencing from cone snails native to Hainan, and their sequence diversity.

Conotoxins (CTX) from the venom of marine cone snails (genus Conus) represent large families of proteins, which show a similar precursor organization with surprisingly conserved signal sequence of the precursor peptides, but highly diverse pharmacological activities. By using the conserved sequences found within the genes that encode the alpha-conotoxin precursors, a technique based on RT-PCR was used to identify, respectively, two novel peptides (LiC22, LeD2) from the two worm-hunting Conus species Conus lividus, and Conus litteratus, and one novel peptide (TeA21) from the snail-hunting Conus species Conus textile, all native to Hainan in China. The three peptides share an alpha4/7 subfamily alpha-conotoxins common cysteine pattern (CCX(4)CX(7)C, two disulfide bonds), which are competitive antagonists of nicotinic acetylcholine receptor (nAChRs). The cDNA of LiC22N encodes a precursor of 40 residues, including a propeptide of 19 residues and a mature peptide of 21 residues. The cDNA of LeD2N encodes a precursor of 41 residues, including a propeptide of 21 residues and a mature peptide of 16 residues with three additional Gly residues. The cDNA of TeA21N encodes a precursor of 38 residues, including a propeptide of 20 residues and a mature peptide of 17 residues with an additional residue Gly. The additional residue Gly of LeD2N and TeA21N is a prerequisite for the amidation of the preceding C-terminal Cys. All three sequences are processed at the common signal site -X-Arg- immediately before the mature peptide sequences. The properties of the alpha4/7 conotoxins known so far were discussed in detail. Phylogenetic analysis of the new conotoxins in the present study and the published homologue of alpha4/7 conotoxins from the other Conus species were performed systematically. Patterns of sequence divergence for the three regions of signal, proregion, and mature peptides, both nucleotide acids and residue substitutions in DNA and peptide levels, as well as Cys codon usage were analyzed, which suggest how these separate branches originated. Percent identities of the DNA and amino acid sequences of the signal region exhibited high conservation, whereas the sequences of the mature peptides ranged from almost identical to highly divergent between inter- and intra-species. Notably, the diversity of the proregion was also high, with an intermediate percentage of divergence between that observed in the signal and in the toxin regions. The data presented are new and are of importance, and should attract the interest of researchers in this field. The elucidated cDNAs of these toxins will facilitate a better understanding of the relationship of their structure and function, as well as the process of their evolutionary relationships.

Amino Acid Sequence↗

PubMed1972