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Zdenek Moravek

Publications and source records attributed to Zdenek Moravek.

2 recordsLinked to original sources

Rational design of DNA sequences for nanotechnology, microarrays and molecular computers using Eulerian graphs.

Nucleic acids are molecules of choice for both established and emerging nanoscale technologies. These technologies benefit from large functional densities of 'DNA processing elements' that can be readily manufactured. To achieve the desired functionality, polynucleotide sequences are currently designed by a process that involves tedious and laborious filtering of potential candidates against a series of requirements and parameters. Here, we present a complete novel methodology for the rapid rational design of large sets of DNA sequences. This method allows for the direct implementation of very complex and detailed requirements for the generated sequences, thus avoiding 'brute force' filtering. At the same time, these sequences have narrow distributions of melting temperatures. The molecular part of the design process can be done without computer assistance, using an efficient 'human engineering' approach by drawing a single blueprint graph that represents all generated sequences. Moreover, the method eliminates the necessity for extensive thermodynamic calculations. Melting temperature can be calculated only once (or not at all). In addition, the isostability of the sequences is independent of the selection of a particular set of thermodynamic parameters. Applications are presented for DNA sequence designs for microarrays, universal microarray zip sequences and electron transfer experiments.

Algorithms↗

Efficient RNA interference depends on global context of the target sequence: quantitative analysis of silencing efficiency using Eulerian graph representation of siRNA.

Several aspects of gene silencing by small interfering RNA duplexes (siRNA) influence the efficiency of the silencing. They can be divided into two categories, one covering the cell-specific factors and the other covering molecular factors of the RNA interference (RNAi). A prerequisite for sequence-based siRNA design is that hybridization thermodynamics is the dominant factor. Our assumption is that cell-specific parameters (cell line, degradation, cross-hybridization, target conformation, etc.) can be pooled into an average cellular factor. Our hypothesis is that the molecular basis of the positional dependence of siRNA-induced gene silencing is the uniqueness of context of a corresponding target sequence segment relative to all other such segments along the attacked RNA. We encode this context into descriptors derived from Eulerian graph representation of siRNAs and show that the descriptor based upon the contextual similarity and predicted thermodynamic stability correlates with the experimentally observed silencing efficiency of human lamin A/C gene. We further show that information encoded in this regression function is generalizable and can be used as a predictor of siRNA efficiency in unrelated genes (CD54 and PTEN). In summary, our method represents an evolution of siRNA design from the currently used algorithms which are only qualitative in nature.

Base Sequence↗