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A configurational bias Monte Carlo method for linear and cyclic peptides
| Content Provider | Semantic Scholar |
|---|---|
| Author | Deem, Michael W. Bader, Joel S. |
| Copyright Year | 1996 |
| Abstract | A new configurational bias Monte Carlo technique is described for the simulation of peptides, focusing on the biologically relevant cases of linear and cyclic peptides. The approach leads to efficient, Boltzmann-weighted sampling of the torsional degrees of freedom in these biological molecules, a feat not possible with previous Monte Carlo and molecular dynamics methods. |
| Starting Page | 1245 |
| Ending Page | 1260 |
| Page Count | 16 |
| File Format | PDF HTM / HTML |
| DOI | 10.1080/00268979600100841 |
| Alternate Webpage(s) | https://arxiv.org/pdf/cond-mat/9709330v1.pdf |
| Alternate Webpage(s) | http://www.mwdeem.rice.edu/mwdeem/peptide_1996.pdf |
| Alternate Webpage(s) | http://arxiv.org/pdf/cond-mat/9709330v1.pdf |
| Alternate Webpage(s) | https://doi.org/10.1080/00268979600100841 |
| Volume Number | 87 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
