feature stanford.edu
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Automated function prediction in protein structures. Results of a FEATURE scan for metal binding sites in ribosomal protein S2. Putative sites are shown as red spheres within a 7 Angstrom radius. Charged, acidic residues are highlighted in blue. We have extended FEATURE to generate models automatically from 1D sequence motifs, a method we call SeqFEATURE, and implemented a web tool WebFEATURE. To allow scanning and analysis of protein structures for over 250 functions. See our publications.
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Konrad J. Karczewski
I graduated with a PhD from the Biomedical Informatics. Training program at Stanford University, advised by Mike Snyder. And co-advised by Stephen Montgomery. I am the co-author of Exploring Personal Genomics.
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WebFEATUREDESCRIPTION
Automated function prediction in protein structures. Results of a FEATURE scan for metal binding sites in ribosomal protein S2. Putative sites are shown as red spheres within a 7 Angstrom radius. Charged, acidic residues are highlighted in blue. We have extended FEATURE to generate models automatically from 1D sequence motifs, a method we call SeqFEATURE, and implemented a web tool WebFEATURE. To allow scanning and analysis of protein structures for over 250 functions. See our publications.CONTENT
This site feature.stanford.edu states the following, "Automated function prediction in protein structures." We noticed that the website said " Results of a FEATURE scan for metal binding sites in ribosomal protein S2." It also stated " Putative sites are shown as red spheres within a 7 Angstrom radius. Charged, acidic residues are highlighted in blue. We have extended FEATURE to generate models automatically from 1D sequence motifs, a method we call SeqFEATURE, and implemented a web tool WebFEATURE. To allow scanning and analysis of protein structures for over 250 functions."SEEK MORE DOMAINS
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