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Accurate disulfide-bonding network predictions improve ab initio structure prediction of cysteine-rich proteins
Motivation: Cysteine-rich proteins cover many important families in nature but there are currently no methods specifically designed for modeling the structure of these proteins. The accuracy of disulfide connectivity pattern prediction, particularly for the proteins of higher-order connections, e.g....
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Bioinformatics |
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| Κύριοι συγγραφείς: | , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Oxford University Press
2015
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5898604/ https://ncbi.nlm.nih.gov/pubmed/26254435 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv459 |
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