Prediction of the human membrane proteome
By Linn Fagerberg, K. Jonasson, G. von Heijne, Mathias Uhlen, Lisa Berglund. Proteomics, 2010
380 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/7219d3714d583011f23dacad76a3a1ed8d11d4a4
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In Molecular Biology
- Jason Aaron Edward Weston
- Julia Koehler Leman
- Yanjun Qi
- Jeffrey J. Gray
- William Stafford Noble
- Avi Ma’ayan
- Merja Oja
- Cheng Zhang
Citations in the corpus
- Computational modeling of membrane proteins (2014, background): “109,110 Even though a variety of sequence-based techniques exists for this subclass of proteins, de novo structure prediction remains challenging, especially for large MPs.”
- The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins (2016, background): “Roughly 5500 genes have been predicted to give rise to transmembrane proteins (142).”
- A subcellular map of the human proteome (2017, background): “In addition, results from the prediction of the human membrane proteome (56) were included to classify proteinswith a predicted SP aswell as one ormore TM regions as membrane-spanning.”
- A Unified Multitask Architecture for Predicting Local Protein Properties (2012, background): “Second, because of their importance in communicating across membranes, more than half of all drug targets are transmembrane proteins, even though only an estimated 18–26% of all proteins are transmembrane proteins [20–22].”