Difference between revisions of "Part:BBa K4790068"

Latest revision as of 13:53, 12 October 2023

ASR3(node 100)

Node 100 is the ancestral sequence of PETase predicted by constructing a phylogenetic tree using specific algorithm based on some enzymes that have been reported to be capable of hydrolyzing plastics. That is to say, it is an ancient protein that we resurrected, and it is speculated to have excellent properties such as good temperature stability and mutation stability. In this project, we will use machine learning for prediction, mutate node 100, and find variants with excellent properties.

Sequence and Features

Assembly Compatibility:

10
INCOMPATIBLE WITH RFC[10]
Illegal PstI site found at 79
Illegal PstI site found at 281
Illegal PstI site found at 295
12
INCOMPATIBLE WITH RFC[12]
Illegal PstI site found at 79
Illegal PstI site found at 281
Illegal PstI site found at 295
21
COMPATIBLE WITH RFC[21]
23
INCOMPATIBLE WITH RFC[23]
Illegal PstI site found at 79
Illegal PstI site found at 281
Illegal PstI site found at 295
25
INCOMPATIBLE WITH RFC[25]
Illegal PstI site found at 79
Illegal PstI site found at 281
Illegal PstI site found at 295
1000
COMPATIBLE WITH RFC[1000]

@@ Line 3: / Line 3: @@
 <partinfo>BBa_K4790068 short</partinfo>
-Node 100 is the ancestral sequence of PETase predicted by constructing a phylogenetic tree using specific algorithm based on some enzymes that have been reported to be capable of hydrolyzing plastics. That is to say, it is an ancient protein that we resurrected, and it is speculated to have excellent properties such as good temperature stability and mutation stability. In this project, we will use machine learning for prediction, mutate node100, and find variants with excellent properties.
+Node 100 is the ancestral sequence of PETase predicted by constructing a phylogenetic tree using specific algorithm based on some enzymes that have been reported to be capable of hydrolyzing plastics. That is to say, it is an ancient protein that we resurrected, and it is speculated to have excellent properties such as good temperature stability and mutation stability. In this project, we will use machine learning for prediction, mutate node 100, and find variants with excellent properties.
 <!-- Add more about the biology of this part here