Arbeitspapier

Hidden Markov models and neural networks: Identifying signal peptides and transmembrane protein topology

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Language: Englisch

Bibliographic citation: Series: Technical Report ; No. 2002,27

Event: Geistige Schöpfung

(who): Sousa, Lisete
Santos, Mário
Turkman, Maria Antónia Amaral
Urfer, Wolfgang

Event: Veröffentlichung

(who): Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen

(where): Dortmund

(when): 2002

Handle: http://hdl.handle.net/10419/77213

Last update: 10.03.2025, 11:42 AM CET

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Object type

Arbeitspapier

Associated

Sousa, Lisete
Santos, Mário
Turkman, Maria Antónia Amaral
Urfer, Wolfgang
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen

Time of origin

2002

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Hidden Markov Models and Neural Networks: Identifying Signal Peptides and Transmembrane Protein Topology

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Dynamics, Intermolecular Interactions, and Organization of Transmembrane β-Peptides

Synthesis, characterisation and sensor-functionalisation of transmembrane β-peptides

Aggregation of Transmembrane Peptides Studied by Spin-Label EPR

Transmembrane Peptides for applications in biosensors : NB from influenza B.

Hochschulschrift

Self-assembly of transmembrane peptides studied by solid-state NMR

Inferring the unobservable - identifying state architectures in hidden Markov models

Synthesis of Rigid Spin Labels for the Investigation of Transmembrane Peptides by EPR Spectroscopy

Hybrids of SNARE Transmembrane Domains and Artificial Recognition Motifs as Membrane Fusion Inducing Model Peptides

Operator Semigroups in the Mixed Topology and the Infinitesimal description of Markov Processes

Arbeitspapier

Operator semigroups in the mixed topology and the infinitesimal description of Markov processes

Hidden Markov Models and Neural Networks: Identifying Signal Peptides and Transmembrane Protein Topology

Hochschulschrift

Organisation and Recognition of Artificial Transmembrane Peptides

Dynamics, Intermolecular Interactions, and Organization of Transmembrane β-Peptides

Synthesis, characterisation and sensor-functionalisation of transmembrane β-peptides

Aggregation of Transmembrane Peptides Studied by Spin-Label EPR

Transmembrane Peptides for applications in biosensors : NB from influenza B.

Hochschulschrift

Self-assembly of transmembrane peptides studied by solid-state NMR

Inferring the unobservable - identifying state architectures in hidden Markov models

Synthesis of Rigid Spin Labels for the Investigation of Transmembrane Peptides by EPR Spectroscopy

Hybrids of SNARE Transmembrane Domains and Artificial Recognition Motifs as Membrane Fusion Inducing Model Peptides

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Arbeitspapier

Operator semigroups in the mixed topology and the infinitesimal description of Markov processes

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Hidden Markov models and neural networks: Identifying signal peptides and transmembrane protein topology

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Other Objects (12)

Hidden Markov Models and Neural Networks: Identifying Signal Peptides and Transmembrane Protein Topology

Organisation and Recognition of Artificial Transmembrane Peptides

Dynamics, Intermolecular Interactions, and Organization of Transmembrane β-Peptides

Synthesis, characterisation and sensor-functionalisation of transmembrane β-peptides

Aggregation of Transmembrane Peptides Studied by Spin-Label EPR

Transmembrane Peptides for applications in biosensors : NB from influenza B.

Self-assembly of transmembrane peptides studied by solid-state NMR

Inferring the unobservable - identifying state architectures in hidden Markov models

Synthesis of Rigid Spin Labels for the Investigation of Transmembrane Peptides by EPR Spectroscopy

Hybrids of SNARE Transmembrane Domains and Artificial Recognition Motifs as Membrane Fusion Inducing Model Peptides

Operator Semigroups in the Mixed Topology and the Infinitesimal description of Markov Processes

Operator semigroups in the mixed topology and the infinitesimal description of Markov processes

Hidden Markov Models and Neural Networks: Identifying Signal Peptides and Transmembrane Protein Topology

Organisation and Recognition of Artificial Transmembrane Peptides

Dynamics, Intermolecular Interactions, and Organization of Transmembrane β-Peptides

Synthesis, characterisation and sensor-functionalisation of transmembrane β-peptides

Aggregation of Transmembrane Peptides Studied by Spin-Label EPR

Transmembrane Peptides for applications in biosensors : NB from influenza B.

Self-assembly of transmembrane peptides studied by solid-state NMR

Inferring the unobservable - identifying state architectures in hidden Markov models

Synthesis of Rigid Spin Labels for the Investigation of Transmembrane Peptides by EPR Spectroscopy

Hybrids of SNARE Transmembrane Domains and Artificial Recognition Motifs as Membrane Fusion Inducing Model Peptides

Operator Semigroups in the Mixed Topology and the Infinitesimal description of Markov Processes

Operator semigroups in the mixed topology and the infinitesimal description of Markov processes

Hidden Markov Models and Neural Networks: Identifying Signal Peptides and Transmembrane Protein Topology

Organisation and Recognition of Artificial Transmembrane Peptides

Dynamics, Intermolecular Interactions, and Organization of Transmembrane β-Peptides

Synthesis, characterisation and sensor-functionalisation of transmembrane β-peptides

Aggregation of Transmembrane Peptides Studied by Spin-Label EPR

Transmembrane Peptides for applications in biosensors : NB from influenza B.

Self-assembly of transmembrane peptides studied by solid-state NMR

Inferring the unobservable - identifying state architectures in hidden Markov models

Synthesis of Rigid Spin Labels for the Investigation of Transmembrane Peptides by EPR Spectroscopy

Hybrids of SNARE Transmembrane Domains and Artificial Recognition Motifs as Membrane Fusion Inducing Model Peptides

Operator Semigroups in the Mixed Topology and the Infinitesimal description of Markov Processes

Operator semigroups in the mixed topology and the infinitesimal description of Markov processes

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