articleTop 1% cited
Prediction of Protein Secondary Structure at Better than 70% Accuracy
Journal of Molecular Biology · 1993 · Vol. 232(2) · pp. 584–599
Burkhard Rost✉(European Molecular Biology Laboratory)Chris Sander(European Molecular Biology Laboratory)
Protein Structure and DynamicsMachine Learning in BioinformaticsEnzyme Structure and FunctionProtein secondary structureReliability (semiconductor)Globular proteinComputer scienceCircular dichroismProtein structureBiological systemMatthews correlation coefficientAlgorithmData mining
MeSH terms
Mathematical ComputingMembrane ProteinsReproducibility of ResultsSequence AlignmentNeural Networks, ComputerProtein Structure, Secondary
Citations
2,942
FWCI
44.73
field-weighted impact
References
0
Percentile
100%
vs. same field & year
Citations per year
Cited by
The 26S Proteasome: A Molecular Machine Designed for Controlled Proteolysis
Annual Review of Biochemistry · 1999 · 1,887 citations
Better prediction of functional effects for sequence variants
BMC Genomics · 2015 · 658 citations
Ab initio protein structure prediction of CASP III targets using ROSETTA
Proteins Structure Function and Bioinformatics · 1999 · 569 citations
Activities of LL-37, a Cathelin-Associated Antimicrobial Peptide of Human Neutrophils
Antimicrobial Agents and Chemotherapy · 1998 · 790 citations
Prediction of protein subcellular localization
Proteins Structure Function and Bioinformatics · 2006 · 1,820 citations
Application of multiple sequence alignment profiles to improve protein secondary structure prediction
Proteins Structure Function and Bioinformatics · 2000 · 789 citations
Combining evolutionary information and neural networks to predict protein secondary structure
Proteins Structure Function and Bioinformatics · 1994 · 1,462 citations
Topology prediction for helical transmembrane proteins at 86% accuracy–Topology prediction at 86% accuracy
Protein Science · 1996 · 605 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.