Properties and identification of human protein drug targets
By Tala Bakheet, Andrew J. Doig. Bioinform., 2009
297 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/801924f398abc4291bf1a83a538bc5e36767e6e2
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In Computational Theory and Mathematics
In Molecular Biology
- Jeffrey J. Gray
- Brian D. Weitzner
- Julia Koehler Leman
- Christoph Peters
- Rebecca F. Alford
- Mathias Uhlen
- Linn Fagerberg
- Lisa Berglund
Citations in the corpus
- Prediction of the human membrane proteome (2010, background): “As such, and owing to the fact that many membrane proteins are exposed on the surface of cells, they are targets for almost 60% of pharmaceutical drugs [1, 2].”
- An Integrated Framework Advancing Membrane Protein Modeling and Design (2015, background): “They comprise more than 30% of open reading frames [2] and are targeted by over half of currently available pharmaceutical drugs [3,4].”
- Topology Prediction of α-Helical Transmembrane Proteins (2016, background): “For membrane proteins, it is especially imperative to close the gaps between sequences and structures because they are important targets for most commercial drugs [4–6] and only 1-2% of all solved protein structures belong to membrane proteins.”
- 3D structures of membrane proteins from genomic sequencing (2012, unknown): “More than 25% of all human proteins have integral membrane domains; many of these are medically important, with nearly half of all drug targets containing a membrane domain (Bakheet and Doig, 2009; Overington et al., 2006).”
- Expanding the toolkit for membrane protein modeling in Rosetta (2016, background): “Membrane proteins are involved in a variety of essential cellular functions, comprise about 30% of gene products (Tan et al., 2008), and are targeted by over 50% of drugs on the market (Bakheet and Doig, 2009; Overington et al., 2006).”
- A Review on Applications of Computational Methods in Drug Screening and Design (2020, background): “In general, bioinformatics can help reveal the key genes from a massive amount of genomic data [1,2] and thus provide possible target proteins for drug screening and design.”