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Robert Penchovsky

Publications and source records attributed to Robert Penchovsky.

3 recordsLinked to original sources

Development and application of a high-throughput assay for glmS riboswitch activators.

Riboswitches are newly-discovered gene control elements that are promising targets for antibacterial drug development. To facilitate the rapid discovery and development of riboswitch-targeted compounds, modern drug discovery techniques such as structure-based design and high-throughput screening will need to be applied. One promising riboswitch drug target is the glmS riboswitch, which upon binding glucosamine-6-phosphate (GlcN6P) functions as a ribozyme and catalyzes self-cleavage. Herein we report the development of a high-throughput assay for glmS ribozyme cleavage that relies on fluorescence resonance energy transfer (FRET). This assay can be used to screen for compounds that bind to and activate glmS ribozyme cleavage. To validate the screen, we demonstrate that the assay can identify the active compounds from a library of GlcN6P analogs whose affinities for ribozyme were determined by commonly used electrophoretic methods with radiolabeled RNA. Furthermore, the primary screen of a library of 960 compounds previously approved for use in humans identified five active compounds, one of which is a GlcN6P analog known to stimulate ribozyme activity. These results demonstrate that modern high-throughput screening techniques can be applied to the discovery of riboswitch-targeted drug compounds.

Bacillus subtilis↗

Computational design and experimental validation of oligonucleotide-sensing allosteric ribozymes.

Allosteric RNAs operate as molecular switches that alter folding and function in response to ligand binding. A common type of natural allosteric RNAs is the riboswitch; designer RNAs with similar properties can be created by RNA engineering. We describe a computational approach for designing allosteric ribozymes triggered by binding oligonucleotides. Four universal types of RNA switches possessing AND, OR, YES and NOT Boolean logic functions were created in modular form, which allows ligand specificity to be changed without altering the catalytic core of the ribozyme. All computationally designed allosteric ribozymes were synthesized and experimentally tested in vitro. Engineered ribozymes exhibit >1,000-fold activation, demonstrate precise ligand specificity and function in molecular circuits in which the self-cleavage product of one RNA triggers the action of a second. This engineering approach provides a rapid and inexpensive way to create allosteric RNAs for constructing complex molecular circuits, nucleic acid detection systems and gene control elements.

Allosteric Site↗

DNA library design for molecular computation.

A novel approach to designing a DNA library for molecular computation is presented. The method is employed for encoding binary information in DNA molecules. It aims to achieve a practical discrimination between perfectly matched DNA oligomers and those with mismatches in a large pool of different molecules. The approach takes into account the ability of DNA strands to hybridize in complex structures like hairpins, internal loops, or bulge loops and computes the stability of the hybrids formed based on thermodynamic data. A dynamic programming algorithm is applied to calculate the partition function for the ensemble of structures, which play a role in the hybridization reaction. The applicability of the method is demonstrated by the design of a twelve-bit DNA library. The library is constructed and experimentally tested using molecular biology tools. The results show a high level of specific hybridization achieved for all library words under identical conditions. The method is also applicable for the design of primers for PCR, DNA sequences for isothermal amplification reactions, and capture probes in DNA-chip arrays. The library could be applied for integrated DNA computing of twelve-bit instances of NP-complete combinatorial problems by multi-step DNA selection in microflow reactors.

Algorithms↗