April
26
Individual Project 4/24/19
Rationale: Complete final version of abstract and continue to accumulate data
Process:
- Lathan had commented that the RMSD (root mean square deviation) values for comparing tertiary protein structures were not very meaningful so I looked into another way to mathematically analyze the differences between the tape measure proteins (TMP)
- All of the structures had been folded by RaptorX so I started aligning them all in comparison to the NapoleonB TMP
Results:
- I found a paper that said that the TM-score is the best way to compare protein structures because it is independent of protein length. The tape measure proteins vary greatly in size so this is necessary to reduce error.
- TM-align also gives a TM-score with its results (it is actually the main poi for the software) so it was an easy switch over.
- Began to organize results in a tabular manner:
phage name | residues | residues in common | RMSD of common residues | TM-score | notes | image |
Anansi | 1432 | 1356 | 78.945 | 0.1524 | random structural similarity | |
Andrew | 787 | 787 | 40.957 | 0.1597 | random structural similarity | |
Atraxa | 616 | 616 | 29.188 | 0.1309 | random structural similarity | |
BeautusComedenti | 1029 | 1029 | 28.36 | 0.2266 | ||
BossLady | 876 | 876 | 48.243 | 0.1695 | ||
Cheesy | 1492 | 1492 | 49.672 | 0.2379 | ||
Chubster | 1180 | 1180 | 41.169 | 0.2402 | ||
Constance | 1298 | 1298 | 56.792 | 0.1247 | random structural similarity | |
Corgi | 555 | 555 | 34.341 | 0.0913 | random structural similarity | |
DrManhattan | 744 | 744 | 31.479 | 0.1715 | ||
EdgarPoe | 1113 | 1113 | 27.514 | 0.2428 | ||
ElephantMan | 1463 | 1427 | 24.285 | 0.368 | ||
Elesar | 1607 | 1493 | 47.103 | 0.1432 | random structural similarity | |
Faja | 1348 | 1348 | 48.361 | 0.1552 | ||
Galaxy | 793 | 793 | 32.454 | 0.1618 | ||
Gorgeous | 1432 | 1356 | 79.112 | 0.1528 | ||
Hestia | 1325 | 1325 | 43.792 | 0.153 | ||
Joann | 853 | 853 | 29.797 | 0.1764 | ||
KellEzio | 1029 | 1029 | 44.416 | 0.1805 | ||
KitKat | 1029 | 1029 | 28.965 | 0.2266 | ||
Laila | 665 | 665 | 34.138 | 0.1063 | ||
Laroye | 946 | 946 | 25.419 | 0.2367 |
Next Steps:
Continue aligning stuctures and then use the data to create a figure.