20 Research Areas Within Computational Biology

  1. Rapid structural and topological clustering of proteins → protein-protein interactions in high-throughput experiments for stability
  2. Determining the structure of macromolecular assemblies and complexes
  3. Simulating realistic oligomeric systems over time
  4. Prediction of unknown molecular structures (e.g. protein folding problem)
  5. A platform for a complete analysis of genome-genome comparison
  6. Simulating genetic networks and their sensitivity to stoichiometric and kinetic interactions
  7. Building understanding of speciation from a molecular perspective
  8. Accurate biological structure prediction from minimal data
  9. A complete model that predicts RNA or alternative splicing from a primary transcript
  10. Designing small molecule inhibitors of proteins for targeted gene therapy
  11. Finding protein-protein, protein-RNA, and protein-DNA recognition codes
  12. Developing gene ontologies and an effective way to describe the functions of any gene or protein
  13. Complete construction of orthologous and paralogous groups of genes
  14. Integrating observations across multi-omic and multi-level data to discover environmental models for analyzing organismal interaction
  15. Building understanding of protein evolution with regards to function
  16. A method of rapidly assessing polymorphic genetic variations
  17. A predictive model of when transcription initiates and terminates
  18. Modeling signal transduction pathways to predict cellular response to external stimuli
  19. Simulating membrane structure and dynamic structure over time
  20. Effective methods to educate bioinformaticians within tertiary education

Rapid structural and topological clustering of proteins

Determining the structure of macromolecular assemblies and complexes

Simulating realistic oligomeric systems over time

Prediction of unknown molecular structures

A platform for a complete analysis of genome-genome comparison

Simulating genetic networks and their sensitivity to stoichiometric and kinetic interactions

Building understanding of speciation from a molecular perspective

Accurate biological structure prediction from minimal data

A complete model that predicts RNA or alternative splicing from a primary transcript

Designing small molecule inhibitors of proteins for targeted gene therapy

Finding protein-protein, protein-RNA, and protein-DNA recognition codes

Developing gene ontologies and an effective way to describe the functions of any gene or protein

Complete construction of orthologous and paralogous groups of genes

Integrating observations across multi-omic and multi-level data to discover environmental models for analyzing organismal interaction

Building understanding of protein evolution with regards to function

A method of rapidly assessing polymorphic genetic variations

A predictive model of when transcription initiates and terminates

Modeling signal transduction pathways to predict cellular response to external stimuli

Simulating membrane structure and dynamic structure over time

Effective methods to educate bioinformaticians within tertiary education

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