dc.contributor | Universidade Federal de São Carlos (UFSCar) | |
dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.date.accessioned | 2018-12-11T16:47:58Z | |
dc.date.available | 2018-12-11T16:47:58Z | |
dc.date.created | 2018-12-11T16:47:58Z | |
dc.date.issued | 2017-01-01 | |
dc.identifier | Chemical Communications, v. 53, n. 53, p. 7337-7340, 2017. | |
dc.identifier | 1364-548X | |
dc.identifier | 1359-7345 | |
dc.identifier | http://hdl.handle.net/11449/169874 | |
dc.identifier | 10.1039/c7cc02333b | |
dc.identifier | 2-s2.0-85021626553 | |
dc.description.abstract | A simple MD-based protocol is presented to accurately predict both the sequence and order of disulfide bond formation in proteins containing multiple cysteine residues. It provides a detailed description of their dynamical and structural features, which can be used to perform ensemble-Averaged ECD calculations. Plant cyclotides are used as model compounds. | |
dc.language | eng | |
dc.relation | Chemical Communications | |
dc.relation | 2,555 | |
dc.rights | Acesso restrito | |
dc.source | Scopus | |
dc.title | Pinpointing disulfide connectivities in cysteine-rich proteins | |
dc.type | Artículos de revistas | |