Homology Modelling: Difference between revisions
From OpenWetWare
Jump to navigationJump to search
No edit summary |
Ryan J. Boyd (talk | contribs) No edit summary |
||
| (5 intermediate revisions by 3 users not shown) | |||
| Line 1: | Line 1: | ||
*[[Modeller|Modeller]] | *[[Modeller|Modeller]] | ||
*iTASSER[https://zhanglab.ccmb.med.umich.edu] | |||
*SWISS-MODEL[https://swissmodel.expasy.org] | |||
[[Category:Protocol]] | |||
After submitting your model query and receiving a structure, keep in mind that the accuracy of the hypothetical model may vary dramatically for given domains. Often times, in addition to accuracy scores, it is beneficial to see a per-residue accuracy which can usually be done through coloring the model by B-factor[https://www.cgl.ucsf.edu/chimera/docs/UsersGuide/tutorials/bfactor.html, ]. Itasser automatically assigns per-residue modeling accuracy scores as the B-factor of its models. This can be visualized easily in the latest edition of PyMol by first opening your model and then selecting "A-->preset-->b factor putty". | |||
[[Category:In silico]] | |||
[[Category:Protein]] | |||
[[Category:Modelling]] | |||
Latest revision as of 14:17, 12 March 2020
After submitting your model query and receiving a structure, keep in mind that the accuracy of the hypothetical model may vary dramatically for given domains. Often times, in addition to accuracy scores, it is beneficial to see a per-residue accuracy which can usually be done through coloring the model by B-factor[3]. Itasser automatically assigns per-residue modeling accuracy scores as the B-factor of its models. This can be visualized easily in the latest edition of PyMol by first opening your model and then selecting "A-->preset-->b factor putty".
