Schmidt, Michael ; Hamacher, Kay (2021)
Identification of biophysical interaction patterns in direct coupling analysis.
In: Physical review. E, 103 (4)
doi: 10.1103/PhysRevE.103.042418
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Direct-coupling analysis is a statistical learning method for protein contact prediction based on sequence information alone. The maximum entropy principle leads to an effective inverse Potts model. Predictions on contacts are based on fitted local fields and couplings from an empirical multiple sequence alignment. Typically, the l_{2} norm of the resulting two-body couplings is used for contact prediction. However, this procedure discards important information. In this paper we show that the usage of the full fields and coupling information improves prediction accuracy.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Schmidt, Michael ; Hamacher, Kay |
| Art des Eintrags: | Bibliographie |
| Titel: | Identification of biophysical interaction patterns in direct coupling analysis. |
| Sprache: | Englisch |
| Publikationsjahr: | April 2021 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Physical review. E |
| Jahrgang/Volume einer Zeitschrift: | 103 |
| (Heft-)Nummer: | 4 |
| DOI: | 10.1103/PhysRevE.103.042418 |
| Kurzbeschreibung (Abstract): | Direct-coupling analysis is a statistical learning method for protein contact prediction based on sequence information alone. The maximum entropy principle leads to an effective inverse Potts model. Predictions on contacts are based on fitted local fields and couplings from an empirical multiple sequence alignment. Typically, the l_{2} norm of the resulting two-body couplings is used for contact prediction. However, this procedure discards important information. In this paper we show that the usage of the full fields and coupling information improves prediction accuracy. |
| ID-Nummer: | pmid:34005861 |
| Fachbereich(e)/-gebiet(e): | 10 Fachbereich Biologie 10 Fachbereich Biologie > Computational Biology and Simulation |
| Hinterlegungsdatum: | 25 Mai 2021 06:14 |
| Letzte Änderung: | 25 Mai 2021 06:14 |
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