On June 6th at 9.00 to 12.00 Morten Lindow gives a lecture on Drugs directed against RNA at Copenhagen Biocenter. Later staff from the bioinformatics centre will run an exercise based on parts of this lecture about combining sequence and expression analysis to detect miRNA activity signatures
Students are very welcome to use this post ask questions or make comments about the lecture.
The slides are available for download as pptx and pdf
The goal is that after the lecture students should be able to answer the following questions:
- Have a general idea about bioinformatics and high-through-put data can be used in the industry for drug development
- Explain the rationale for RNA directed drugs
- Differences to traditional small molecule drugs
- Roles of bioinformatic sequence analysis
- Outline principles about how to detect the best target site on an mRNA
- Describe what LNA is and how it improves properties of oligonucleotide drugs
- The describe the differences between different RNA directed drugs: siRNA, gapmers, mixmers
- Discuss how oligonucleotide specificity is affected by length
- Describe the pros and cons of a direct acting vs an indirect acting antiviral
- Describe how and why in global expression analysis, statistical power can be increased by analysing groups of genes instead of single genes
- Combine expression data with microRNA target prediction
- Combine expression data with pathway-information and pharmacological observations
- Know about rna.dk and COAT
UPDATE: After the lecture some students provided their notes and assessment of the lecture in a Google Form, the result of which is available here.