Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning

Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning

© 2018 Wiley Periodicals, Inc.

Bibliographische Detailangaben
Veröffentlicht in:Journal of computational chemistry. - 1984. - 39(2018), 26 vom: 05. Okt., Seite 2210-2216
1. Verfasser: Heffernan, Rhys (VerfasserIn)
Weitere Verfasser: Paliwal, Kuldip, Lyons, James, Singh, Jaswinder, Yang, Yuedong, Zhou, Yaoqi
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2018
Zugriff auf das übergeordnete Werk:Journal of computational chemistry
Schlagworte:Journal Article Research Support, Non-U.S. Gov't backbone angles contact prediction protein structure prediction secondary structure prediction solvent accessibility prediction Proteins Solvents
Online verfügbar Volltext