11.1 STIR: Multi-level Hidden Markov Model for Co-translational Protein Targeting

Abstract

The primary research goal of the project is to build mathematical models to investigate the unsolved questions regarding the molecular mechanism of the co-translational protein targeting process. The specific objectives are as follows. (a) Build a novel multi-level hidden Markov model for the conformational dynamics of the molecular complexes that govern the protein targeting process. This multi-level mathematical modeling allows to combine and extract information from multiple proteins for a deeper understanding of the molecular mechanism. (b)Employ the multi-level hidden Markov model to account for the stochastic heterogeneity among the multiple proteins, which is necessary for detailed molecular understanding of the co-translational protein targeting process. (c) Apply the multi-level hidden Markov model to recent single-molecule experimental data on bacterial protein targeting systems. Direct fitting to the biological data not only gives the experimental assessment of the model, but also allows to extract experimental information in combination with our mathematical model to elucidate thedetailed molecular mechanism of protein targeting.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 05, 2018
Accession Number
AD1066280

Entities

People

  • Shingchang S. Kou

Organizations

  • Harvard University

Tags

DTIC Thesaurus Topics

  • Bacterial Proteins
  • Experimental Data
  • Heterogeneity
  • Hidden Markov Models
  • Information Exchange
  • Information Operations
  • Markov Chains
  • Markov Models
  • Mathematical Models
  • Membranes
  • Michigan
  • Models
  • Molecules
  • New England
  • Probabilistic Models
  • Proteins
  • Stochastic Processes
  • Targeting
  • Trajectories
  • Universities

Fields of Study

  • Biology

Readers

  • Immunology
  • Neural Network Machine Learning.
  • Theoretical Analysis.