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Bjarne Knudsen

Publications and source records attributed to Bjarne Knudsen.

6 recordsLinked to original sources

Pfold: RNA secondary structure prediction using stochastic context-free grammars.

RNA secondary structures are important in many biological processes and efficient structure prediction can give vital directions for experimental investigations. Many available programs for RNA secondary structure prediction only use a single sequence at a time. This may be sufficient in some applications, but often it is possible to obtain related RNA sequences with conserved secondary structure. These should be included in structural analyses to give improved results. This work presents a practical way of predicting RNA secondary structure that is especially useful when related sequences can be obtained. The method improves a previous algorithm based on an explicit evolutionary model and a probabilistic model of structures. Predictions can be done on a web server at http://www.daimi.au.dk/~compbio/pfold.

Algorithms↗

tmRDB (tmRNA database).

Maintained at the University of Texas Health Science Center at Tyler, Texas, the tmRNA database (tmRDB) is accessible at the URL http://psyche.uthct.edu/dbs/tmRDB/tmRDB.html with mirror sites located at Auburn University, Auburn, Alabama (http://www.ag.auburn.edu/mirror/tmRDB/) and the Bioinformatics Research Center, Aarhus, Denmark (http://www.bioinf.au.dk/tmRDB/). The tmRDB collects and distributes information relevant to the study of tmRNA. In trans-translation, this molecule combines properties of tRNA and mRNA and binds several proteins to form the tmRNP. Related RNPs are likely to be functional in all bacteria. In this release of tmRDB, 186 new entries from 10 bacterial groups for a total of 274 tmRNA sequences have been added. Lists of the tmRNAs and the corresponding tmRNA-encoded tag-peptides are presented in alphabetical and phylogenetic order. The tmRNA sequences are aligned manually, assisted by computational tools, to determine base pairs supported by comparative sequence analysis. The tmRNA alignment, available in a variety of formats, provides the basis for the secondary and tertiary structure of each tmRNA molecule. Three-dimensional models of the tmRNAs and their associated proteins in PDB format give evidence for the recent progress that has been made in the understanding of tmRNP structure and function.

Bacteria↗

SRPDB: Signal Recognition Particle Database.

The Signal Recognition Particle Database (SRPDB) at http://psyche.uthct.edu/dbs/SRPDB/SRPDB.html and http://bio.lundberg.gu.se/dbs/SRPDB/SRPDB.html assists in the better understanding of the structure and function of the signal recognition particle (SRP), a ribonucleoprotein complex that recognizes signal sequences as they emerge from the ribosome. SRPDB provides alphabetically and phylogenetically ordered lists of SRP RNA and SRP protein sequences. The SRP RNA alignment emphasizes base pairs supported by comparative sequence analysis to derive accurate SRP RNA secondary structures for each species. This release includes a total of 181 SRP RNA sequences, 7 protein SRP9, 11 SRP14, 31 SRP19, 113 SRP54 (Ffh), 9 SRP68 and 12 SRP72 sequences. There are 44 new sequences of the SRP receptor alpha subunit and its FtsY homolog (a total of 99 entries). Additional data are provided for polypeptides with established or potential roles in SRP-mediated protein targeting, such as the beta subunit of SRP receptor, Flhf, Hbsu and cpSRP43. Also available are motifs for the identification of new SRP RNA sequences, 2D representations, three-dimensional models in PDB format, and links to the high-resolution structures of several SRP components. New to this version of SRPDB is the introduction of a relational database system and a SRP RNA prediction server (SRP-Scan) which allows the identification of SRP RNAs within genome sequences and also generates secondary structure diagrams.

Amino Acid Sequence↗

Evolution of the thyrotropin receptor: a G protein coupled receptor with an intrinsic capacity to dimerize.

The rapidly escalating number of genome sequences has emphasized the basic tenants of the schema of life. By the same token comparisons according to specialized function or niche within nature expose genomic strategies to optimize the use of resources and ensure biological success. Increasing complexity may result from diversification, shuffling, and re-arrangement of an otherwise limited functional genomic complement. To further test the concept of relative structural plasticity of the TSH receptor we sequenced the TSHR gene of two Old World monkey species Macaca mulatta and Cercopithecus aethiops, evolutionary removed from Homo sapiens by >20Myr. Both genes encoded a protein of 764 residues. This structure was 99% homologous between the two species of Old World monkeys while C. aethiops was 97% and M. mulatta was 96% homologous to H. sapiens. TSHR sequence comparisons were sought for an additional eight mammals as well as four (two Salmon, Tilapia, and Sea Bass) from teleosts. The amino-acid sequences of the 14 TSH receptors were similar. The most variable sequences were those of the intracellular tail and the distal cysteine-rich C-terminus flanking region of the ectodomain, whereas the trans-membrane domain was most preserved. Some sequences were decidedly H. sapiens specific, while others were primate specific or showed the changes expected of evolutionary descent. Others, however, exhibited "cross-species polymorphism," sometimes at quite remarkable evolutionary distances. As opposed to H. sapiens the sequence differences may have subtle influences on TSHR function or may affect long-range compensation for radical changes in adducts. The two Old World monkeys share with other lower mammals the absence of a glycosylation site at 113-115. Sea Bass and Tilapia have four glycosylation sites, whereas the two salmon receptors have only three. Changes in some critical residues raise questions about variation in function: thus S281 is conserved in all mammals and an important determinant of negative agonist function of TSHR is replaced by R in Sea Bass. Likewise the K183, found at an important transitional region at LRR 6 conserved in all mammals, is represented by M in fish and may contribute to TSHR lutenization in fish. There is no evidence that evolutionary changes in primate receptors are more rapid than that in other mammals and the separation times of different mammals based on silent nucleotide changes of TSHR are closely parallel to archaeological estimates. Results of correlated mutation analysis, referenced to the rhodopsin crystal structure, affirms dimerization of TSHR transmembrane helices. In addition, it suggests the involvement of critical lipid-facing residues in the helices in receptor dimerization and oligomerization. We highlight the value of evolutionary informatics and set the stage for dissecting out potential subtle differences in TSHR function associated with structural variations.

Amino Acid Motifs↗

Using evolutionary rates to investigate protein functional divergence and conservation. A case study of the carbonic anhydrases.

Functional constraints on proteins limit their evolutionary rates at specific sites. These constraints allow for the interpretation of conserved residues and sites with a rate change as those most likely underlying the functional similarities and differences among protein subfamilies, respectively. This study describes new likelihood-ratio tests (LRTs) that complement existing ones for the identification of both conserved and rate change sites. These identifications are validated by the recovery of residues that are known from existing biochemical and structural information to be critical for the functional similarities and differences among carbonic anhydrases (CAs). In combination with this other information, these LRTs also support a unique antioxidant defense role for the puzzling CA III. As illustrated by the CAs, these LRTs, in combination with other biological evidence, offer a powerful and cost-effective approach for testing hypotheses, making predictions, and designing experiments in protein functional studies.

Amino Acid Sequence↗

Transcriptional regulation of the stem cell leukemia gene (SCL)--comparative analysis of five vertebrate SCL loci.

The stem cell leukemia (SCL) gene encodes a bHLH transcription factor with a pivotal role in hematopoiesis and vasculogenesis and a pattern of expression that is highly conserved between mammals and zebrafish. Here we report the isolation and characterization of the zebrafish SCL locus together with the identification of three neighboring genes, IER5, MAP17, and MUPP1. This region spans 68 kb and comprises the longest zebrafish genomic sequence currently available for comparison with mammalian, chicken, and pufferfish sequences. Our data show conserved synteny between zebrafish and mammalian SCL and MAP17 loci, thus suggesting the likely genomic domain necessary for the conserved pattern of SCL expression. Long-range comparative sequence analysis/phylogenetic footprinting was used to identify noncoding conserved sequences representing candidate transcriptional regulatory elements. The SCL promoter/enhancer, exon 1, and the poly(A) region were highly conserved, but no homology to other known mouse SCL enhancers was detected in the zebrafish sequence. A combined homology/structure analysis of the poly(A) region predicted consistent structural features, suggesting a conserved functional role in mRNA regulation. Analysis of the SCL promoter/enhancer revealed five motifs, which were conserved from zebrafish to mammals, and each of which is essential for the appropriate pattern or level of SCL transcription.

5' Untranslated Regions↗