Protein classification by stochastic modeling and optimal filtering of amino-acid sequences

DOI10.1016/0025-5564(94)90004-3zbMath0791.92012OpenAlexW2003685971WikidataQ52385069 ScholiaQ52385069MaRDI QIDQ1325000

Collin M. Stultz, James V. White, Temple F. Smith

Publication date: 11 July 1994

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0025-5564(94)90004-3

zbMATH Keywords

hidden Markov modelsamino-acid sequencenonlinear discrete generalizations of linear state space modelingnonlinear, optimal filtering algorithmprotein's tertiary structural classrecognized structural classes of single-domain proteinsstochastic signal modelstime series of symbols

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Signal detection and filtering (aspects of stochastic processes) (60G35) Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

Related Items (3)

Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models ⋮ A mixed filter algorithm for cognitive state estimation from simultaneously recorded continuous and binary measures of performance ⋮ Modeling protein cores with Markov random fields

Cites Work

• Unnamed Item
• Stochastic models for heterogeneous DNA sequences
• Comparison of biosequences
• ARIADNE: pattern-directed inference and hierarchical abstraction in protein structure recognition
• Evaluation of likelihood functions for Gaussian signals

This page was built for publication: Protein classification by stochastic modeling and optimal filtering of amino-acid sequences