Bacteria Engineered To Treat Diseases Associated With Hyperammonemia


Ontology type: sgo:Patent     


Patent Info

DATE

N/A

AUTHORS

FALB, DEAN , ISABELLA, Vincent, M. , KOTULA, Jonathan, W. , MILLER, PAUL, F. , MACHINANI, Suman

ABSTRACT

Genetically engineered bacteria, pharmaceutical compositions thereof, and methods of modulating and treating disorders associated with hyperammonemia are disclosed.

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "author": [
      {
        "name": "FALB, DEAN", 
        "type": "Person"
      }, 
      {
        "name": "ISABELLA, Vincent, M.", 
        "type": "Person"
      }, 
      {
        "name": "KOTULA, Jonathan, W.", 
        "type": "Person"
      }, 
      {
        "name": "MILLER, PAUL, F.", 
        "type": "Person"
      }, 
      {
        "name": "MACHINANI, Suman", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1021/sb500234s", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002219118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.copbio.2006.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002489177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35002131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002786107", 
          "https://doi.org/10.1038/35002131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1432-1033.1997.0232a.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003273698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10867-008-9109-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003520146", 
          "https://doi.org/10.1007/s10867-008-9109-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10867-008-9109-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003520146", 
          "https://doi.org/10.1007/s10867-008-9109-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0001308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006801339"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m705884200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013821416"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0928-8244(03)00368-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016666349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00327926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017704894", 
          "https://doi.org/10.1007/bf00327926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00327926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017704894", 
          "https://doi.org/10.1007/bf00327926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.84.19.6697", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018423619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2958.1989.tb00236.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018880612"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mib.2008.02.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019367558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/gmic.21737", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020736938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.00172-10", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021821778"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1009747107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025092975"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2836(92)90953-h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026452101"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0168-9525(96)30042-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028023781"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2148-13-50", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029254218", 
          "https://doi.org/10.1186/1471-2148-13-50"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1127059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031030636"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(98)06343-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034511208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmbi.2001.4941", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036149196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.abb.2013.04.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042515820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrmicro3456", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043059122", 
          "https://doi.org/10.1038/nrmicro3456"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.leukres.2013.07.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043452365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1001261107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045609563"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/08910600903444267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045778496"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2836(92)90954-i", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048869117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ymgme.2012.07.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049146733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-12-51", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049414828", 
          "https://doi.org/10.1186/1471-2164-12-51"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2001-2-4-research0013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052777142", 
          "https://doi.org/10.1186/gb-2001-2-4-research0013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(85)92809-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052989996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.26058", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053062770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0005-2728(97)00034-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053446343"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acssynbio.5b00085", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055140732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/mic.0.29088-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060397827"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "description": "

Genetically engineered bacteria, pharmaceutical compositions thereof, and methods of modulating and treating disorders associated with hyperammonemia are disclosed.

", "id": "sg:patent.WO-2016200614-A2", "keywords": [ "hyperammonemia", "engineered bacteria", "pharmaceutical", "method", "disorder" ], "name": "BACTERIA ENGINEERED TO TREAT DISEASES ASSOCIATED WITH HYPERAMMONEMIA", "recipient": [ { "id": "https://www.grid.ac/institutes/grid.460014.7", "type": "Organization" } ], "sameAs": [ "https://app.dimensions.ai/details/patent/WO-2016200614-A2" ], "sdDataset": "patents", "sdDatePublished": "2019-03-07T15:36", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com.uberresearch.data.dev.patents-pipeline/full_run_10/sn-export/5eb3e5a348d7f117b22cc85fb0b02730/0000100128-0000348334/json_export_c290c18d.jsonl", "type": "Patent" } ]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/patent.WO-2016200614-A2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/patent.WO-2016200614-A2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.WO-2016200614-A2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.WO-2016200614-A2'


 

This table displays all metadata directly associated to this object as RDF triples.

151 TRIPLES      13 PREDICATES      52 URIs      12 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.WO-2016200614-A2 schema:author N5a2c739b8b3c4da7800f07db5dc12638
2 schema:citation sg:pub.10.1007/bf00327926
3 sg:pub.10.1007/s10867-008-9109-9
4 sg:pub.10.1038/35002131
5 sg:pub.10.1038/nrmicro3456
6 sg:pub.10.1186/1471-2148-13-50
7 sg:pub.10.1186/1471-2164-12-51
8 sg:pub.10.1186/gb-2001-2-4-research0013
9 https://doi.org/10.1002/hep.26058
10 https://doi.org/10.1006/jmbi.2001.4941
11 https://doi.org/10.1016/0022-2836(92)90953-h
12 https://doi.org/10.1016/0022-2836(92)90954-i
13 https://doi.org/10.1016/0168-9525(96)30042-5
14 https://doi.org/10.1016/j.abb.2013.04.009
15 https://doi.org/10.1016/j.copbio.2006.08.006
16 https://doi.org/10.1016/j.leukres.2013.07.014
17 https://doi.org/10.1016/j.mib.2008.02.007
18 https://doi.org/10.1016/j.ymgme.2012.07.009
19 https://doi.org/10.1016/s0005-2728(97)00034-0
20 https://doi.org/10.1016/s0140-6736(85)92809-0
21 https://doi.org/10.1016/s0140-6736(98)06343-0
22 https://doi.org/10.1016/s0928-8244(03)00368-7
23 https://doi.org/10.1021/acssynbio.5b00085
24 https://doi.org/10.1021/sb500234s
25 https://doi.org/10.1073/pnas.1001261107
26 https://doi.org/10.1073/pnas.1009747107
27 https://doi.org/10.1073/pnas.84.19.6697
28 https://doi.org/10.1074/jbc.m705884200
29 https://doi.org/10.1099/mic.0.29088-0
30 https://doi.org/10.1111/j.1365-2958.1989.tb00236.x
31 https://doi.org/10.1111/j.1432-1033.1997.0232a.x
32 https://doi.org/10.1126/science.1127059
33 https://doi.org/10.1128/jb.00172-10
34 https://doi.org/10.1371/journal.pone.0001308
35 https://doi.org/10.3109/08910600903444267
36 https://doi.org/10.4161/gmic.21737
37 schema:description <p num="0000">Genetically engineered bacteria, pharmaceutical compositions thereof, and methods of modulating and treating disorders associated with hyperammonemia are disclosed.</p>
38 schema:keywords disorder
39 engineered bacteria
40 hyperammonemia
41 method
42 pharmaceutical
43 schema:name BACTERIA ENGINEERED TO TREAT DISEASES ASSOCIATED WITH HYPERAMMONEMIA
44 schema:recipient https://www.grid.ac/institutes/grid.460014.7
45 schema:sameAs https://app.dimensions.ai/details/patent/WO-2016200614-A2
46 schema:sdDatePublished 2019-03-07T15:36
47 schema:sdLicense https://scigraph.springernature.com/explorer/license/
48 schema:sdPublisher Nad191b47841b4189b82078feb8c728f7
49 sgo:license sg:explorer/license/
50 sgo:sdDataset patents
51 rdf:type sgo:Patent
52 N1ff71241cd9f45c38ef68e0894020cbd schema:name FALB, DEAN
53 rdf:type schema:Person
54 N4ea96d2c457842518094cbfe77ea5043 rdf:first Nd0f111a1002442c487e9d784d941d05a
55 rdf:rest Na2b9401ccfbd4eba849d19d71811f7c7
56 N59fcdffb1b244310a66720ca4c98a037 schema:name KOTULA, Jonathan, W.
57 rdf:type schema:Person
58 N5a2c739b8b3c4da7800f07db5dc12638 rdf:first N1ff71241cd9f45c38ef68e0894020cbd
59 rdf:rest N5d17d458a85d4ceb8eb7441a38c713bd
60 N5d17d458a85d4ceb8eb7441a38c713bd rdf:first Nd56a350f112d445c8db1ed5553f1e369
61 rdf:rest N9fabe4895a4f498d8828eb86ed266c02
62 N7e091cabb2bf4ba9b224a7731b0cfdbc schema:name MACHINANI, Suman
63 rdf:type schema:Person
64 N9fabe4895a4f498d8828eb86ed266c02 rdf:first N59fcdffb1b244310a66720ca4c98a037
65 rdf:rest N4ea96d2c457842518094cbfe77ea5043
66 Na2b9401ccfbd4eba849d19d71811f7c7 rdf:first N7e091cabb2bf4ba9b224a7731b0cfdbc
67 rdf:rest rdf:nil
68 Nad191b47841b4189b82078feb8c728f7 schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 Nd0f111a1002442c487e9d784d941d05a schema:name MILLER, PAUL, F.
71 rdf:type schema:Person
72 Nd56a350f112d445c8db1ed5553f1e369 schema:name ISABELLA, Vincent, M.
73 rdf:type schema:Person
74 sg:pub.10.1007/bf00327926 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017704894
75 https://doi.org/10.1007/bf00327926
76 rdf:type schema:CreativeWork
77 sg:pub.10.1007/s10867-008-9109-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003520146
78 https://doi.org/10.1007/s10867-008-9109-9
79 rdf:type schema:CreativeWork
80 sg:pub.10.1038/35002131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002786107
81 https://doi.org/10.1038/35002131
82 rdf:type schema:CreativeWork
83 sg:pub.10.1038/nrmicro3456 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043059122
84 https://doi.org/10.1038/nrmicro3456
85 rdf:type schema:CreativeWork
86 sg:pub.10.1186/1471-2148-13-50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029254218
87 https://doi.org/10.1186/1471-2148-13-50
88 rdf:type schema:CreativeWork
89 sg:pub.10.1186/1471-2164-12-51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049414828
90 https://doi.org/10.1186/1471-2164-12-51
91 rdf:type schema:CreativeWork
92 sg:pub.10.1186/gb-2001-2-4-research0013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052777142
93 https://doi.org/10.1186/gb-2001-2-4-research0013
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1002/hep.26058 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053062770
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1006/jmbi.2001.4941 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036149196
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/0022-2836(92)90953-h schema:sameAs https://app.dimensions.ai/details/publication/pub.1026452101
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/0022-2836(92)90954-i schema:sameAs https://app.dimensions.ai/details/publication/pub.1048869117
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/0168-9525(96)30042-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028023781
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/j.abb.2013.04.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042515820
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/j.copbio.2006.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002489177
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/j.leukres.2013.07.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043452365
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/j.mib.2008.02.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019367558
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/j.ymgme.2012.07.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049146733
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/s0005-2728(97)00034-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053446343
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/s0140-6736(85)92809-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052989996
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/s0140-6736(98)06343-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034511208
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/s0928-8244(03)00368-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016666349
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1021/acssynbio.5b00085 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055140732
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1021/sb500234s schema:sameAs https://app.dimensions.ai/details/publication/pub.1002219118
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1073/pnas.1001261107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045609563
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1073/pnas.1009747107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025092975
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1073/pnas.84.19.6697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018423619
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1074/jbc.m705884200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013821416
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1099/mic.0.29088-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060397827
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1111/j.1365-2958.1989.tb00236.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018880612
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1111/j.1432-1033.1997.0232a.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1003273698
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1126/science.1127059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031030636
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1128/jb.00172-10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021821778
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1371/journal.pone.0001308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006801339
146 rdf:type schema:CreativeWork
147 https://doi.org/10.3109/08910600903444267 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045778496
148 rdf:type schema:CreativeWork
149 https://doi.org/10.4161/gmic.21737 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020736938
150 rdf:type schema:CreativeWork
151 https://www.grid.ac/institutes/grid.460014.7 schema:Organization
 




Preview window. Press ESC to close (or click here)


...