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portada Special Protein Molecules Computational Identification
Type
Physical Book
Publisher
Author
Language
English
Format
Paperback
ISBN13
9783038970439

Special Protein Molecules Computational Identification

Quan Zou (Author) · Mdpi Ag · Paperback

Special Protein Molecules Computational Identification - Quan Zou

New Book Imported to Taiwan
Delivery: 22 Sep - 30 Sep Shipping: 5 to 6 business days.
NT$ 2,507
NT$ 2,507

Synopsis "Special Protein Molecules Computational Identification "

It is time consuming and costly to detect new molecules of some special proteins. These special proteins include cytokines, enzymes, cell-penetrating peptides, anticancer peptides, cancer lectins, G-protein-coupled receptors, etc. Researchers often employ computer programs to list some candidates, and to validate the candidates with molecular experiments. These computer programs are key to possible savings on wet experiment costs. Software results with high false positive will lead to high costs in the validation process.In this Special Issue, we focus on these computer program approaches and algorithms. Some "golden features" from protein primary sequences have been proposed for these problems, such as Chou's PseAAC (pseudo amino acid composition). PseAAC has been tried on nearly all kinds of protein identification, together with SVM (support vector machines, a type of classifier). However, I prefer special features, and classification methods should be proposed for special protein molecules. "Golden features" cannot work well on all kinds of proteins. I hope that submissions will focus on a type of special protein molecule, collect related data sets, obtain better prediction performance (especially low false positives), and develop user-friendly software tools or web servers.

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