Timeline for How do you calculate the top L/5 score?
Current License: CC BY-SA 4.0
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Apr 22, 2021 at 12:10 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
Dec 23, 2020 at 12:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
Nov 23, 2020 at 11:33 | answer | added | jgreener | timeline score: 2 | |
Nov 21, 2020 at 12:10 | comment | added | Matteo Ferla | That sounds like the range cutoffs —A range contact is not the distance of atoms, but the distance in residues in the linear sequence —in that paper <12 is short, >23 long. Honestly, I've not read that paper —the Zhang group have made I-Tasser so are a good group. But this is paper dependent, in the AlphaFold one they divide the range in 64 bins, but still refer to short-range/medium-range/long-range. | |
Nov 21, 2020 at 10:23 | comment | added | musako | @MatteoFerla Also, what does Short, Medium and Long mean in the accuracy column of the forecast? This is the paper: academic.oup.com/bioinformatics/article/35/22/4647/5487385 | |
Nov 21, 2020 at 10:22 | comment | added | musako | @MatteoFerla Thanks for answering my question, I understand that L/5 is the length of the protein sequence divided by 5. Does that mean that Top L/5 represents the best prediction for all patches of L/5? | |
Nov 18, 2020 at 12:25 | comment | added | Matteo Ferla | L is protein length so you divide that by two or five! Sorry, I could not resist that. Anyway, there are a few metrics to rank the contact, so depends on the paper. The original EVFold paper is a good place to start journals.plos.org/plosone/article?id=10.1371/… even if you are interested in the AlphaFold stuff. | |
Nov 18, 2020 at 0:04 | review | First posts | |||
Nov 18, 2020 at 0:31 | |||||
Nov 18, 2020 at 0:04 | history | asked | musako | CC BY-SA 4.0 |