Biomedical subjects

C T Workman

Publications and source records attributed to C T Workman.

3 recordsLinked to original sources

PubMed2000

ANN-Spec: a method for discovering transcription factor binding sites with improved specificity.

This work describes ANN-Spec, a machine learning algorithm and its application to discovering un-gapped patterns in DNA sequence. The approach makes use of an Artificial Neural Network and a Gibbs sampling method to define the Specificity of a DNA-binding protein. ANN-Spec searches for the parameters of a simple network (or weight matrix) that will maximize the specificity for binding sequences of a positive set compared to a background sequence set. Binding sites in the positive data set are found with the resulting weight matrix and these sites are then used to define a local multiple sequence alignment. Training complexity is O(lN) where l is the width of the pattern and N is the size of the positive training data. A quantitative comparison of ANN-Spec and a few related programs is presented. The comparison shows that ANN-Spec finds patterns of higher specificity when training with a background data set. The program and documentation are available from the authors for UNIX systems.

Algorithms↗

PubMed1999

Modeling regulatory networks with weight matrices.

Systematic gene expression analyses provide comprehensive information about the transcriptional response to different environmental and developmental conditions. With enough gene expression data points, computational biologists may eventually generate predictive computer models of transcription regulation. Such models will require computational methodologies consistent with the behavior of known biological systems that remain tractable. We represent regulatory relationships between genes as linear coefficients or weights, with the "net" regulation influence on a gene's expression being the mathematical summation of the independent regulatory inputs. Test regulatory networks generated with this approach display stable and cyclically stable gene expression levels, consistent with known biological systems. We include variables to model the effect of environmental conditions on transcription regulation and observed various alterations in gene expression patterns in response to environmental input. Finally, we use a derivation of this model system to predict the regulatory network from simulated input/output data sets and find that it accurately predicts all components of the model, even with noisy expression data.

Computational Biology↗

PubMedDate not supplied

Post-synthetically ligated ribozymes: an alternative approach to iterative solid-phase synthesis.

To improve the overall yield of ribozyme synthesis, a convergent approach, based on the post-synthetic formation of an amino linker between two half-ribozymes was investigated. Borane.pyridine-mediated reductive amination of 3'-phosphoglycaldehyde-5'-half-ribozymes with 5'-aminohexyl-3'-half-ribozymes generated the corresponding amino-linked ribozymes in yields > 77% on different scales. The investigation of a variety of reducing agents is discussed together with a kinetic analysis of the selected coupling reaction. These post-synthetically ligated ribozymes exhibited slightly reduced in vitro catalytic activity and cell efficacy.

Animals↗