Corpus ID: 174251

Softening Constraints in Constraint-Based Protein Topology Prediction

@article{Parsons1995SofteningCI,
  title={Softening Constraints in Constraint-Based Protein Topology Prediction},
  author={S. Parsons},
  journal={Proceedings. International Conference on Intelligent Systems for Molecular Biology},
  year={1995},
  volume={3},
  pages={
          268-76
        }
}
  • S. Parsons
  • Published 1995
  • Computer Science, Medicine
  • Proceedings. International Conference on Intelligent Systems for Molecular Biology
    • This paper is concerned with the handling of uncertain data about the applicability of constraints in protein topology prediction. It discusses the use of novel methods of representing and reasoning with uncertain data, and presents the results of some experiments in using these methods to build probabilistic models of constraint application. It thus builds on work by other authors in both constraint satisfaction and probabilistic reasoning. 
    View on PubMed
    sci.brooklyn.cuny.edu
    2 Citations
    Methods Citations
    1

    Figures, Tables, and Topics from this paper

    Figures and Tables

    Explore Further: Topics Discussed in This Paper

    2 Citations
    Citation Type

    Citation Type

    Using Qualitative Uncertainty in Protein Topology Prediction
    A Constraint Based Structure Description Language for Biosequences
    • 16
    • PDF

    References

    SHOWING 1-10 OF 57 REFERENCES
    Hybrid models of uncertainty in protein topology prediction
    • S. Parsons
    • Computer Science
    • Appl. Artif. Intell.
    • 1995
    • 4
    Probabilistic Prediction of Protein Secondary Structure Using Causal Networks (Extended Abstract)
    • 10
    • PDF
    Protein topology prediction through constraint-based search and the evaluation of topological folding rules.
    • 40
    Inductive Logic Programming Used to Discover Topological Constraints in Protein Structures
    • 6
    • PDF
    Protein Topology Prediction through Parallel Constraint Logic Programming
    • 16
    • PDF
    Constraint Satisfaction Techniques for Modeling Large Complexes: Application to the Central Domain of 16S Ribosomal RNA
    • 23
    • PDF
    Probabilistic Structure Calculations: A Three-Dimensional tRNA Structure from Sequence Correlation Data
    • R. Altman
    • Mathematics, Computer Science
    • ISMB
    • 1993
    • 20
    • PDF
    Heuristic refinement method for determination of solution structure of proteins from nuclear magnetic resonance data.
    • 34
    HMM with protein structure grammar
    • K. Asai, S. Hayamizu, K. Onizuka
    • Computer Science
    • [1993] Proceedings of the Twenty-sixth Hawaii International Conference on System Sciences
    • 1993
    • 37
    • PDF
    Prediction of the three‐dimensional structure of human growth hormone
    • 45