New insights into coiled coil formation by means of support vector machines

Ingrid Abfalter, Carsten Mahrenholz, Ulrich Bodenhofer, Sepp Hochreiter

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

We use support vector machines and statistical methods to extract important amino acid sequence patterns that determine the olgimerization state of coiled coil proteins. These patterns are an important prerequisite for the rational design of drugs targeting coiled coil membrane fusion proteins from viruses like HIV and Avian Influenza.
Original languageEnglish
Title of host publicationISMB 2009 Proceedings
Number of pages1
Publication statusPublished - Jun 2009

Fields of science

  • 101004 Biomathematics
  • 101027 Dynamical systems
  • 101028 Mathematical modelling
  • 101029 Mathematical statistics
  • 101014 Numerical mathematics
  • 101015 Operations research
  • 101016 Optimisation
  • 101017 Game theory
  • 101018 Statistics
  • 101019 Stochastics
  • 101024 Probability theory
  • 101026 Time series analysis
  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102003 Image processing
  • 102004 Bioinformatics
  • 102013 Human-computer interaction
  • 102018 Artificial neural networks
  • 102019 Machine learning
  • 103029 Statistical physics
  • 106005 Bioinformatics
  • 106007 Biostatistics
  • 202017 Embedded systems
  • 202035 Robotics
  • 202036 Sensor systems
  • 202037 Signal processing
  • 305901 Computer-aided diagnosis and therapy
  • 305905 Medical informatics
  • 305907 Medical statistics
  • 102032 Computational intelligence
  • 102033 Data mining
  • 101031 Approximation theory

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