1. A computer implemented method for implementing parallel execution of an independent parameterized measurement block, comprising:
using at least one processor to perform a process, the process comprising:
specifying one or more stimuli for a test fixture;
creating an independent processing environment of multiple independent processing environments for each of a plurality of iterates in the loop processing;
performing language independent parallel execution of simulation or emulation upon the test fixture with the independent parameterized measurement block of multiple independent parameterized measurement blocks, while avoiding serial loop processes, by using a loop processing within each of the multiple independent processing environments to sweep over a range of parameter values in multiple iterations performed in parallel, without one iterate accessing results of another iterate, wherein the act of performing the simulation or emulation by using the loop processing comprises:
resizing one or more arrays to form one or more corresponding dimensionally resized arrays according to a total number of the plurality of iterates in the loop processing; and
associating the independent parameterized measurement block with a dataset that is independently stored to maintain independence of the multiple independent parameterized measurement blocks, wherein either an access to an index variable for the loop processing is removed, or the loop processing is performed without defining the index variable so the loop processing is performed without reference to the index variable during the loop processing; and
analyzing results by at least using one or more statements in the independent parameterized measurement block to extract an output from the simulation or emulation to compute a desired performance metric.
2. The computer implemented method of claim 1, in which the independent parameterized measurement block does not interfere with another independent parameterized measurement block.
3. The computer implemented method of claim 1, in which direct access to a circuit design topology and components from within the independent parameterized measurement block is prevented.
4. The computer implemented method of claim 3, in which direct access to nodes, instances, models, or specific circuit parameters are prevented.
5. The computer implemented method of claim 3, in which nodes, instances, models, or specific circuit parameters are accessed using pointers or references to the objects passed into the independent parameterized measurement block through parameters.
6. The computer implemented method of claim 3, in which the direct access is permitted to one or more generic circuit parameters including a parameter for temperature values.
7. The computer implemented method of claim 1, in which the process further comprises assembling the independent parameterized measurement block with one or more other independent parameterized measurement blocks of the multiple independent parameterized measurement blocks to form an aggregated independent parameterized measurement block.
8. The computer implemented method of claim 1, in which the independent parameterized measurement block includes calls to other measurements.
9. The computer implemented method of claim 1, in which circuit design topology and components are accessed using pointers or references to the topology and components passed into the independent parameterized measurement block through parameters.
10. The computer implemented method of claim 9, in which the independent parameterized measurement block uses indirect access to circuit elements through one or more parameters in a manner that is independent of the specific circuit is being measured.
11. The computer implemented method of claim 9, in which the indirect access is to implement configuring of test benches, setting of the one or more stimuli, configuring of circuit under test, or probing of signals.
12. The computer implemented method of claim 1, in which an input to the independent parameterized measurement block is independent from another input of another independent parameterized measurement block.
13. The computer implemented method of claim 1, in which the input comprises a global variable.
14. The computer implemented method of claim 1, in which the global variable is copied to a local variable.
15. The computer implemented method of claim 1, in which an output for the independent parameterized measurement block is independent from another output of another parameterized measurement block.
16. The computer implemented method of claim 1, in which the output is stored in a storage location that is separate from outputs for other independent parameterized measurement blocks.
17. A computer program product comprising a non-transitory computer usable medium having executable code to execute a process for implementing parallel execution of an independent parameterized measurement block, the process comprising:
specifying one or more stimuli for a test fixture for an electronic circuit;
creating an independent processing environment of multiple independent processing environments for each of a plurality of iterates in the loop processing;
performing language independent parallel execution of simulation or emulation upon the test fixture with the independent parameterized measurement block of multiple independent parameterized measurement blocks, while avoiding serial loop processes, by using a loop processing within each of the multiple independent processing environments to sweep over a range of parameter values in multiple iterations performed in parallel, without one iterate accessing results of another iterate, wherein the act of performing the simulation or emulation by using the loop processing comprises:
resizing one or more arrays to form one or more corresponding dimensionally resized arrays according to a total number of the plurality of iterates in the loop processing; and
associating the independent parameterized measurement block with a dataset that is independently stored to maintain independence of the multiple independent parameterized measurement blocks, wherein either an access to an index variable for the loop processing is removed, or the loop processing is performed without defining the index variable so the loop processing is performed without reference to the index variable during the loop processing; and
analyzing results by at least using one or more statements in the independent parameterized measurement block to extract an output from the simulation or emulation to compute a desired performance metric.
18. The computer program product of claim 17, in which direct access to a circuit design topology and components from within the independent parameterized measurement block is prevented.
19. The computer program product of claim 18, in which the direct access to nodes, instances, models, or specific circuit parameters are prevented.
20. A system for implementing parallel execution of an independent parameterized measurement block, comprising:
at least one processor that is to:
specify one or more stimuli for a test fixture;
create an independent processing environment of multiple independent processing environments for each of a plurality of iterates in the loop processing;
perform language independent parallel execution of simulation or emulation upon the test fixture with the independent parameterized measurement block of multiple independent parameterized measurement blocks and at least some of the one or more stimuli, while avoiding serial loop processes, by using a loop processing within each of the multiple independent processing environments to sweep over a range of parameter values in multiple iterations performed in parallel, without one iterate accessing results of another iterate, wherein the at least one processor that is to perform the simulation or emulation by using the loop processing is further to:
resize one or more arrays to form one or more corresponding dimensionally resized arrays according to a total number of the plurality of iterates in the loop processing; and
associate the independent parameterized measurement block with a dataset that is independently stored to maintain independence of the multiple independent parameterized measurement blocks, wherein either an access to an index variable for the loop processing is removed, or the loop processing is performed without defining the index variable so the loop processing is performed without reference to the index variable during the loop processing;
analyze results by at least using one or more statements in the independent parameterized measurement block to extract an output from the simulation or emulation to compute a desired performance metric; and
generate first results from analyzing the results.
21. The system of claim 20, in which direct access to a circuit design topology and components from within the independent parameterized measurement block is prevented.
22. The system of claim 21, in which the direct access to nodes, instances, models, or specific circuit parameters are prevented.
23. The computer implemented method of claim 1, the process further comprising:
using a sweeping process to sweep over a range of parameter values for the loop processing without referencing the index variable during the loop processing.
24. The computer implemented method of claim 1, in which an array captured by the loop processing comprises one lower dimension within the loop processing than outside the loop processing.
25. The computer implemented method of claim 1, the process further comprising:
re-dimensioning one or more arrays associated with the loop processing, the act of re-dimensioning the one or more arrays further comprising:
adding a dimension to at least one of the one or more arrays by combining the at least one of the one or more arrays and another array of the one or more arrays.
26. The computer program product of claim 17, the process further comprising:
using a sweeping process to sweep over a range of parameter values for the loop processing without referencing the index variable during the loop processing.
27. The computer program product of claim 17, in which an array captured by the loop processing comprises one lower dimension within the loop processing than outside the loop processing.
28. The computer program product of claim 17, the process further comprising:
re-dimensioning one or more arrays associated with the loop processing, the act of re-dimensioning the one or more arrays further comprising:
adding a dimension to at least one of the one or more arrays by combining the at least one of the one or more arrays and another array of the one or more arrays.
29. The system of claim 20, the at least one processor is further to:
use a sweeping process to sweep over a range of parameter values for the loop processing without referencing the index variable during the loop processing.
30. The system of claim 20, in which an array captured by the loop processing comprises one lower dimension within the loop processing than outside the loop processing.
31. The system of claim 20, the at least one processor is further to:
re-dimension one or more arrays associated with the loop processing, in which the at least one processor that is to re-dimension the one or more arrays is further to:
add a dimension to at least one of the one or more arrays by combining the at least one of the one or more arrays and another array of the one or more arrays.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. Isolated DNA sequences that contain the coding region of a plant ammonium transporter obtainable by a process according to claim 4, characterised in that the information contained in the nucleotide sequence when integrated in a plant genome makes possible under control of a promoter in sense orientation, the expression of a translatable mRNA, which leads to the synthesis of an ammonium transporter in transgenic plants.
2. Isolated DNA sequences that contain the coding region of a plant ammonium transporter obtainable by a process according to claim 4, characterised in that the information contained in the nucleotide sequence when integrated in a plant genome makes possible under control of a promoter in anti-sense orientation, the expression of a non-translatable mRNA, which prevents the synthesis of an endogenous ammonium transporter in transgenic plants.
3. A DNA sequence according to claim 1 or 2, characterised in that, it contains the following nucleotide sequence (Seq.ID No. 1):
8
TTCTTCTCTAAACTCTCAAC
20
ATG TCT TGC TCG GCC ACC GAT CTC GCC GTC CTG TTG CGT CCT AAT
65
Met Ser Cys Ser Ala Thr Asp Leu Ala Val Leu Leu GlY Pro Asn
GCC ACG GCG GCG GCC AAC TAC ATA TGT GGC CAG CTA GCC GAC GTC
110
Ala Thr Ala Ala Ala Asn Tyr Ile Cys Gly Gln Leu Gly Asp Val
AAC AAC AAA TTC ATC GAC ACC GCT TTC GCT ATA GAC AAC ACT TAC
155
Asn Asn Lys Phe Ile Asp Thr Ala Phe Ala Ile Asp Asn Thr Tyr
CTC CTC TTC TCC CCC TAC CTT GTC TTC TCT ATC CAG CTT CCC TTC
200
Leu Leu Phe Ser Ala Tyr Leu Val Phe Ser Met Gln Leu Gly Phe
GCT ATC CTC TGT GCC GGT TCC GTG AGA GCC AAG AAT ACT ATG AAC
245
Ala Met Leu Cys Ala Gly Ser Val Arg Ala Lys Asn Thr Met Asn
ATC ATG CTT ACC AAC GTC CTT GAC GCT GCA GCC GGT GGT CTC TTC
290
Ile Met Leu Thr Asn Val Leu Asp Ala Ala Ala Gly Gly Leu Phe
TAT TAT CTG TTT GGC TAC GCC TTT GCC TTT GGA TCT CCG TCC AAT
335
Tyr Tyr Leu Phe Gly Tyr Ala Phe Ala Phe Gly Ser Pro Ser Asn
GGT TTC ATC GGT AAA CAC TAC TTT GGT CTC AAA GAC ATC CCC ACG
380
Gly Phe Ile Gly Lys His Tyr Phe Gly Leu Lys Asp Ile Pro Thr
GCC TCT GCT GAC TAC TCC AAC TTT CTC TAC CAA TGG GCC TTT GCA
425
Ala Ser Ala Asp Tyr Ser Asn Phe Leu Tyr Gln Trp Ala Phe Ala
ATC GCT GCG GCT GGA ATC ACA AGT GGC TCG ATC GCT GAA CGG ACA
470
Ile Ala Ala Ala Gly Ile rhr Ser Gly Ser Ile Ala Glu Arg Thr
CAG TTC GTG GCT TAC CTA ATC TAT TCC TCT TTC TTA ACC GGG TTT
515
Gln Phe Val Ala Tyr Leu Ile Tyr Ser Ser Phe Leu Thr Gly Phe
GTT TAC CCG GTC GTC TCT CAC TGG TTC TGG TCA GTT GAT GGA TGG
560
Val Tyr Pro Val Val Ser His Trp Phe Trp Ser Val Asp Gly Trp
GCC AGC CCG TTC CGT ACC GAT GGA GAT TTG CTT TTC AGC ACC GGA
605
Ala Ser Pro Phe Arg Thr Asp Gly Asp Leu Leu Phe Ser Thr Gly
GCG ATA GAT TTC GCT 000 TCC GGT GTT GTT CAT ATG GTC GGA GGT
650
Ala Ile Asp Phe Ala Gly Ser Gly Val Val His Met Val Gly Gly
ATC GCT GGA CTC TGG GGT GCG CTC ATC GAA GGT CCA CGA CTT GGC
695
Ile Ala Gly Leu Trp Gly Ala Leu Ile Glu Gly Pro Arg Leu Gly
CGG TTC GAT AAC GGA GGC CGT GCC ATC GCT CTT CGT GGC CAC TCG
740
Arg Phe Asp Asn Gly Gly Arg Ala Ile Ala Leu Arg Gly His Ser
GCG TCA CTT GTT GTC CTT GGA ACA TTC CTC CTC TGG TTT GGA TGG
785
Ala Ser Leu Val Val Leu Gly Thr Phe Leu Leu Trp Phe Gly Trp
TAC GGA TTT AAC CCC GGT TCC TTC AAC AAG ATC CTA GTC ACG TAC
830
Tyr Gly Phe Ash pro Gly Ser Phe Asn lys Ile Leu Val Thr Tyr
GAG ACA GGC ACA TAC AAC GGC CAG TGG AGC GCG GTC GGA CGG ACA
875
Glu Thr Gly Thr Tur Asn Gly Gln Trp Ser Ala Val Gly Arg Thr
GCT GTC ACA ACA ACG TTA GCT GGC TGC ACC GCG GCG CTG ACA ACC
920
Ala Val Thr Thr Thr Leu Ala Gly Cys Thr Ala Ala Leu Thr Thr
CTA TTT GGG AAA CGT CTA CTC TCG GGA CAT TGG AAC GTC ACT GAT
965
Leu Phe Gly Lys Arg Leu Leu Ser Gly His Trp Asn Val Thr Asp
GTA TGC AAC GGC CTC CTC GGA GGG TTT GCA GCC ATA ACT GGT GGC
1010
Val Cys Asn Gly Leu Leu Gly Gly Phe Ala Ala Ile Thr Gly Gly
TGC TCT GTC GTT GAG CCA TGG GCT GCG ATC ATC TGC GGG TTC GTG
1055
Cys Ser Val Val Glu Pro Trp Ala Ala Ile Ile Cys Gly phe Val
GCG GCC CTA GTC CTC CTC GGA TGC AAC AAG CTC GCT GAG AAG CTC
1100
Ala Ala Leu Val Leu Leu Gly Cys Asn Lys Leu Ala Glu Lys Leu
AAA TAC GAC GAC CCT CTT GAG GCA GCA CAA CTA CAC GGT GGT TGC
1145
Lys Tyr Asp Asp Pro Leu Glu Ala Ala Gln Leu His Gly Gly Cys
GGT GCG TGG GGA CTA ATA TTC ACG GCT CTC TTC GCT CAA GAA AAG
1190
Gly Ala trp Gly Leu Ile Phe Thr Ala Leu Phe Ala Gln Glu Lys
TAC TTG AAC CAG ATT TAC GGC AAC AAA CCC GGA AGG CCA CAC GGT
1235
Tyr Leu Asn Gln Ile Tyr Gly Asn Lys Pro Gly Arg Pro His Gly
TTG TTT ATG GGC GGT GGA GGA AAA CTA CTT GGA GCT CAG CTG ATT
1280
Leu Phe Met Gly Gly Gly Gly Lys Leu Leu Gly Ala Gln Leu Ile
CAG ATC ATT GTG ATC ACG GGT TCG GTA AGT GCG ACC ATG GGG ACA
1325
Gln Ile Ile Val Ile Thr Gly Trp Val Ser Ala Thr Met Gly Thr
CTT TTC TTC ATC CTC AAG AAA ATG AAA TTG TTG CGG ATA TCC TCC 1370
Leu Phe Phe Ile Leu Lys Lys Met Lys Leu Leu Arg Ile Ser Ser
GAG CAT GAG ATC GCC GGT ATG GAT ATG ACC AGC CAC GGT GCT TTT
1415
Glu Asp Glu Met Ala Gly Met Asp Met Thr Arg His Gly Gly Phe
GCT TAT ATC TAC TTT GAT CAT GAT GAG TCT CAC AAA GCC ATT CAG
1460
Ala Tyr Met Tyr Phe Asp Asp Asp Glu Ser His Lys Ala Ile Gln
CTT AGG AGA GTT GAG CCA CGA TCT CCT TCT CCT TCT GCT GCT AAT
1505
Leu Arg Arg Val Glu Pro Arg Ser Pro Ser Pro Ser Gly Ala Asn
ACT ACA CCT ACT CCG GTT TGATTTGGAT TTTTACTTTT ATTCTCTATT
1553
Thr Thr Pro Thr Pro Val
TTCTAGAGTA TTATTTTAAA TGATGTTTTG TGATACTTAA ATATTGTTTT
1603
GGATATTTTT TTGGCATTTC ACTAATGTTT TAGATCTACA GTTTCATGGG
1653
GTTCTGATCA TAATATCTAT CTGGTCATTT GTGTTCTCTT TCGAGTTAAA
1703
AAAAAAAAA AAAAAAAAAA AAAAA~AAAA AAAAAAAAAA AAAAA
1748.
4. A process for the identification and isolation of DNA sequences from plants that code for ammonium transporters, characterised in that it includes the following steps:
a) transformation of a yeast strain, which cannot grow in media which contain ammonium as the only nitrogen source, with a plant cDNA-library using suitable expression vectors,
b) selection and propagation of transformands, which after expression of plant cDNA-sequences, can grow in media which contain ammonium as
5. DNA sequences from plants, that code for a protein with the biological activity of an ammonium transporter, obtainable by a process according to claim 4.
6. Plasmids, containing DNA sequences according to any one of claims 1 – 3.
7. Plasmid p35S-MEP-a (DSM 8651).
8. Plasmid p35S-a-MEP-a (DSM 8652).
9. Use of the plasmid according to any one of claims 6 – 8 or derivatives or parts thereof which express an ammonium transporter, for the transformation of pro- and eukaryotic cells.
10. Transgenic plants, in which the DNA sequences, isolated according to the process of claim 4, are introduced as a constituent of a recombinant DNA molecule, in which the DNA molecule coding the ammonium transporter is stably integrated into the genome, and in whose cells based on the presence of these sequences there is achieved either a synthesis of an additional plant ammonium transporter whereby these cells can take up larger amounts of ammonium in comparison with untransformed plants or there is achieved an inhibition of the synthesis of endogenous ammonium transporters whereby such cells show a reduced uptake of ammonium in comparison with untransformed cells.
11. Yeasts, containing DNA sequences according to any one of claims 1 – 3.
12. Bacteria, containing DNA sequences according to any one of claims 1 – 3.
13. Plant cells, in which the DNA sequences, isolated according to the process of claim 4, are introduced as a constituent of a recombinant DNA molecule, in which the DNA molecule coding the ammonium transporter is stably integrated into the genome, and in whose cells based on the presence of these sequences there is achieved either a synthesis of an additional plant ammonium transporter whereby these cells can take up larger amounts of ammonium in comparison with untransformed plants or there is achieved an inhibition of the synthesis of endogenous ammonium transporters whereby such cells show a reduced uptake of ammonium in comparison with untransformed cells.
14. Use of plant cells according to claim 13 for the regeneration of whole plants.
15. Use of the DNA sequences according to any one of claims 1 – 3, for the preparation of derivatives with changed specificity of the ammonium transporter for the transport of compounds.
16. Use of the DNA sequences according to any one of claims 1 – 3, for the isolation of homologous sequences having the function of an ammonium transporter from the genome of bacteria, fungi and transgenic plants.
17. Use of the DNA sequences according to claims 1, 3 or 5, in combination with a transcription promoter in sense orientation, for the expression of a translatable mRNA, which makes possible the synthesis of an ammonium transporter in pro- and eukaryotic cells.
18. Use of the DNA sequences according to claims 2, 3 or 5, in combination with a transcription promoter in anti-sense orientation, for the expression of a non-translatable mRNA, which prevents the synthesis of an endogenous ammonium transporter in pro- and eukaryotic cells.
19. Use of the DNA sequences according to any one of claims 1 – 3 or 5 for the preparation of transgenic plants with changed nitrogen metabolism. ammonium transporter in pro- and eukaryotic cells.
19. Use of the DNA sequences according to any one of claims 1 – 3 or 5 for the preparation of transgenic plants with changed nitrogen metabolism.
20. Use of the DNA sequences according to any one of claims 1, 3 or 5 for the preparation of transgenic crop plants, such as tobacco, potatoes, beets and maize with increased yield.
21. Use of the DNA sequences according to any one of claims 2, 3 or 5 for the preparation of transgenic crop plants, such as tobacco, potatoes, beets and maize under low input conditions.
22. Use of the DNA sequences according to any one of claims 2, 3 or 5 for the preparation of transgenic crop plants, which also grow on acid soils
9
GCT ATG CTC TGT GCC GGT TCC GTG AGA GCC AAG AAT ACT ATG AAC
245
Ala Met Leu Cys Ala Gly Ser Val Arg Ala Lys Asn Thr Met Asn
ATC ATG CTT ACC AAC GTC CTT GAC GCT GCA GCC GGT GGT CTC TTC
290
Ile Met Leu Thr Asn Val Leu Asp Ala Ala Ala Gly Gly Leu Phe
TAT TAT VTG TTT GGC TAC GCC TTT GGC TTT GGA TCT CCG TCC AAT
335
Tyr Tyr Leu Phe Gly Tyr Ala Phe Ala Phe Gly Ser Pro Ser Asn
GGT TTC ATC GGT AAA CAC TAC TTT GGT CTC AAA GAC ATC CCC ACG
380
Gly Phe Ile Gly Lys His Tyr Phe Gly Leu Lys Asp Ile Pro Thr
GCC TCT GCT GAC TAC TCC AAC TTT CTC TAC CAA TGG GCC TTT GCA
425
Ala Ser Ala Asp Tyr Ser Asn Phe Leu Tyr Gln Trp Ala Phe Ala
ATC GCT GCG GCT GGA ATC ACA AGT GGC TCG ATC GCT GAA CGG ACA
470
Ile Ala Ala Ala Gly Ile Thr Ser Gly Ser Ile Ala Glu Arg Thr
CAG TTC GTG GCT TAC CTA ATC TAT TCC TCT TTC TTA ACC GGG TTT
515
Gln Phe Val Ala Tyr Leu Ile Tyr Ser Ser Phe Leu Thr Gly Phe
GTT TAC CCG GTC GTC TCT CAC TGG TTC TGG TCA GTT GAT GGA TGG
560
Val Tyr Pro Val Val Ser His Trp Phe Trp Ser Val Asp Gly Trp
GCC AGC CCG TTC CGT ACC GAT GGA GAT TTG CTT TTC AGC ACC GGA
605
Ala Ser Pro Phe Arg Thr Asp Gly Asp Leu Leu Phe Ser Thr Gly
GCG ATA GAT TTC GCT GGG TCC GGT GTT GTT CAT ATG GTC GGA GGT
650
Ala Ile Asp Phe Ala Gly Ser Gly Val Val His Met Val Gly Gly
ATC GCT GGA CTC TGG GGT GCG CTC ATC GAA GGT CCA CGA CTT GGC
695
Ile Ala Gly Leu Trp Gly Ala Leu Ile Glu Gly Pro Arg Leu Gly
CGG TTC GAT AAC GGA GGC CGT GCC ATC GCT CTT CGT GGC CAC TCG
740
Arg Phe Asp Asn Gly Gly Arg Ala Ile Ala Leu Arg Gly His Ser
GCG TCA CTT GTT GTC CTT GGA ACA TTC CTC CTC TGG TTT GGA TGG
785
Ala Ser Leu Val Val Leu Gly Thr Phe Leu Leu Trp Phe Gly Trp
TAC GGA TTT AAC CCC GGT TCC TTC AAC AAG ATC CTA GTC ACG TAC
830
Tyr Gly Phe Asn Pro Gly Ser Phe Asn Lys Ile Leu Val Thr Tyr
GAG ACA GGC ACA TAC AAC GGC CAG TGG AGC GCG GTC GGA CGG ACA
875
Glu Thr Gly Thr Tyr Asn Gly Gln Trp Ser Ala Val Gly Arg Thr
GCT GTC ACA ACA ACG TTA GCT GGC TGC ACC GCG GCG CTG ACA ACC
920
Ala Val Thr Thr Thr Leu Ala Gly Cys Thr Ala Ala Leu Thr Thr
CTA TTT GGG AAA CGT CTA CTC TCG GGA CAT TGG AAC GTC ACT GAT
965
Leu Phe Gly Lys Arg Leu Leu Ser Gly His Trp Asn Val Thr Asp
GTA TGC AAC GGC CTC CTC GGA GGG TTT GCA GCC ATA ACT GGT GGC
1010
Val Cys Asn Gly Leu Leu Gly Gly Phe Ala Ala Ile Thr Gly Gly
TGC TCT GTC GTT GAG CCA TGG GCT GCG ATC ATC TGC GGG TTC GTG
1055
Cys Ser Val Val Glu Pro Trp Ala Ala Ile Ile Cys Gly Phe Val
GCG GCC CTA GTC CTC CTC GGA TGC AAC AAG CTC GCT GAG AAG CTC
1100
Ala Ala Leu Val Leu Leu Gly Cys Asn Lys Leu Ala Glu Lys Leu
AAA TAC GAC GAC CCT CTT GAG GCA GCA CAA CTA CAC GGT GGT TGC
1145
Lys Trp Asp Asp Pro Leu Glu Ala Ala Gln Leu His Gly Gly Cys
GGT GCG TGG GGA CTA ATA TTC ACG GCT CTC TTC GCT CAA GAA AAG
1190
Gly Ala Trp Gly Leu Ile Phe Thr Ala Leu Phe Ala Gln Glu Lys
TAC TTG AAC CAG ATT TAC GGC AAC AAA CCC GGA AGG CCA CAC GGT
1235
Tyr Leu Asn Gln Ile Tyr Gly Asn Lys Pro Gly Arg Pro His Gly
TTG TTT ATG GGC GGT GGA GGA AAA CTA CTT GGA GCT CAG CTG ATT
1280
Leu Phe Met Gly Gly Gly Gly Lys Leu Leu Gly Ala Gln Leu Ile