Structural bioinformatics and its impact to biomedical science.

By Kuo-Chen Chou. Current Medicinal Chemistry, 2004

603 citations recorded by the source corpus.

Subfields: Molecular Biology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/15a10bbde0cc53be4508ebd04d0230e7fe425d7a

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In Molecular Biology

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Ensemble classifier for protein fold pattern recognition (2006, background): “Also, although it is quite successful to predict the 3D structure of a protein according to the homology modeling approach (Chou, 2004; Holm & Sander, 1999), a hurdle exists when the query protein does not have any structure-known homologous protein in the existing databases.”
iLoc-Euk: A Multi-Label Classifier for Predicting the Subcellular Localization of Singleplex and Multiplex Eukaryotic Proteins (2011, background): “It is true for protein sequence as well [56].”
iFC2: an integrated web-server for improved prediction of protein structural class, fold type, and secondary structure content (2010, background): “2005), discrimination of outer membrane proteins (Gromiha 2005a, b; Gromiha and Suwa 2005), target selection for structural genomics (Mizianty and Kurgan 2009b; Kurgan and Mizianty 2009), and in prediction of tertiary structure (Chou 2004; Wu and Zhang 2008), residue–residue contacts (Björkholm et a”
Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization (2010, background): “The rationale of such a practice is based on the fact that homology proteins generally share similar attributes, such as folding patterns [25] and biological functions [26,27,28].”
A New Method for Predicting the Subcellular Localization of Eukaryotic Proteins with Both Single and Multiple Sites: Euk-mPLoc 2.0 (2010, neutral): “The rationale of so doing is based on the fact that homology proteins generally share similar attributes, such as structural conformations and biological functions [45,46,47].”
Some remarks on protein attribute prediction and pseudo amino acid composition (2010, background): “It is true for protein sequence as well (Chou, 2004b).”