Biomedical subjects

F H van Batenburg

Publications and source records attributed to F H van Batenburg.

6 recordsLinked to original sources

PubMed2000

PseudoBase: a database with RNA pseudoknots.

PseudoBase is a database containing structural, functional and sequence data related to RNA pseudo-knots. It can be reached at http://wwwbio. Leiden Univ.nl/ approximately Batenburg/PKB.html. This page will direct the user to a retrieval page from where a particular pseudoknot can be chosen, or to a submission page which enables the user to add pseudoknot information to the database or to an informative page that elaborates on the various aspects of the database. For each pseudoknot, 12 items are stored, e.g. the nucleotides of the region that contains the pseudoknot, the stem positions of the pseudoknot, the EMBL accession number of the sequence that contains this pseudoknot and the support that can be given regarding the reliability of the pseudoknot. Access is via a small number of steps, using 16 different categories. The development process was done by applying the evolutionary methodology for software development rather than by applying the methodology of the classical waterfall model or the more modern spiral model.

Base Sequence↗

PubMed1999

An approximation of loop free energy values of RNA H-pseudoknots.

A set of free energy values is suggested for RNA H-pseudoknot loops. The parameters are adjusted to be consistent with the theory of polymer thermodynamics and known data on pseudoknots. The values can be used for estimates of pseudoknot stabilities and computer predictions of RNA structures.

Computer Simulation↗

PubMed1998

Dynamic competition between alternative structures in viroid RNAs simulated by an RNA folding algorithm.

The folding pathways of viroid RNAs were studied using computer simulations by the genetic algorithm for RNA folding. The folding simulations were performed for PSTVd RNAs of both polarities, using the wild-type sequence and some previously known mutants with suggested changes in the stable or metastable structures. It is shown that metastable multihairpin foldings in the minus strand replicative intermediates are established due to the specific folding pathway that ensures the absence of the most stable rod-like structure. Simulations of the PSTVd minus strand folding during transcription reveal a metastable hairpin, formed in the left terminal domain region of the PSTVd. Despite high sequence variability, this hairpin is conserved in all known large viroids of both subgroups of PSTVd type, and is presumably necessary to guide the folding of the HPII hairpin which is functional in the minus strand. The folding simulations are able to demonstrate the changes in the balance between metastable and stable structures in mutant PSTVd RNAs. The stable rod-like structure of the circular viroid (+) RNA is also folded via a dynamic folding pathway. Furthermore, the simulations show that intermediate steps in the forced evolution of a shortened PSTVd replicon may be reconstructed by a mechanistic model of different folding pathway requirements in plus- and minus-strand RNAs. Thus the formation of viroid RNA structure strongly depends on dynamics of competition between alternative RNA structures. This also suggests that the replication efficiency of viroid sequences may be estimated by a simulation of the folding process.

Algorithms↗

PubMed1995

The influence of a metastable structure in plasmid primer RNA on antisense RNA binding kinetics.

Replication of the ColE1 group plasmids is kinetically regulated by the interaction between plasmid-encoded primer RNA II and antisense RNA I. The binding is dependent on alternative RNA II conformations, formed during the transcription, and effectively inhibits the primer function within some time interval. In this paper, the folding pathways for the wild type and copy number mutants of ColE1 RNA II are studied using simulations by a genetic algorithm. The simulated pathways reveal a transient formation of a metastable structure, which is stabilized by copy number mutations. The folding kinetics of the proposed conformational transitions is calculated using a model of a multistep refolding process with elementary steps of double-helical stem formation or disruption. The approximation shows that the lifetime of the metastable structure is relatively long and is considerably increased in the mutants, resulting in a delay of the formation of the stable RNA II structure, which is the most sensitive to the inhibition by the antisense RNA I. Thus the effect of copy number mutations can be interpreted as a compression of the time window of effective inhibition due to an increased time spent by the RNA II in the metastable state. The implications of metastable foldings in RNA functioning are discussed.

Algorithms↗

PubMed1995

The computer simulation of RNA folding pathways using a genetic algorithm.

A procedure for simulating the RNA folding process using the principles of genetic algorithm is proposed. The method allows one to simulate a folding pathway of RNA, including such processes as disruption of temporarily formed structures, the folding of a molecule during its synthesis and pseudoknot formation. The simulations are able to predict functional metastable foldings and kinetically driven transitions to more stable structures. The analysis of free energies for intermediate foldings allows estimation of the ranges of kinetic refolding barriers and suggests that in some RNAs the selective evolutionary pressure suppresses the possibilities for alternative structures that could form in the course of transcription. It is shown that the folding pathway simulation can result in structure predictions that are more consistent with phylogenetically proven structures than minimum energy solutions. This suggest that RNA folding kinetics is very important for the formation of functional RNA structures. Therefore, apart form its value for predictions of RNA structures, the proposed computer simulations can be a powerful tool in the studies of RNA folding features.

Algorithms↗

PubMed1995

An APL-programmed genetic algorithm for the prediction of RNA secondary structure.

The possibilities of using a genetic algorithm for the prediction of RNA secondary structure were investigated. The algorithm, using the procedure of stepwise selection of the most fit structures (similarly to natural evolution), allows different models of fitness or driving forces determining RNA structure to be easily introduced. This can be used for simulation of the RNA folding process and for the investigation of possible folding pathways. Such an algorithm needs several modifications before it can predict RNA secondary structures. After modification, a fair number of correct stems are predicted, even when using computationally quick, but very crude, fitness criteria such as stem length and stacking energy, including elements of tertiary structure (pseudoknots). The fact that genetic algorithm simulation includes both stem formations and stem disruption allows one to observe intermediate structures that may be used in combination with phylogenetic or experimental research.

Algorithms↗