Q09768 AF NFT

Glutamate--cysteine ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihpjxfea6pw53qcja6rjziffyhuva4cs3zfvlh7ejfrxlc45twrmm/metadata.json
IPFS of structure file: 
bafybeihjzpwacly32agzhtpcerwfaljfojgmomqbqup5somdftkcfpggba/AF-Q09768-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0635f7A5069052B3f1C85241E72034107484f5ad
First NFT owner address (bech32): 
genesis1qc6l0fgxjpft8uwg2fq7wgp5zp6gfaddqrrzs0
Current NFT ID #160117 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
160117
Accession (UniProt):
Q09768
Name::
Glutamate--cysteine ligase
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q09768 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q09768|GSH1_SCHPO Glutamate--cysteine ligase OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=gcs1 PE=1 SV=1 MGLLVLGTPLDWPESKKYCDYVRENGIMQFLHMYDTYISKKQDVLLWGDEIECIVVSMDDKSKKARVSLRQEDILNALGKYEETFRHVDFGPVYAALRNETCPKKIDAILSEVAKNPADYVERIGGNSNKDTIEITSSTKPHAQNAVPTFHPEYGRYMLESTPGAPYGSTLKDFTFVEYNMRLRRKIIENHLLPNELPLTITNFFRLGTPGFTDPEVEANGAISRSFFLPDDVINTHVRFPTLTANIRQRRGRKVAMNVPIFFDKNTIKPFHDPTVPWDRNLFPEDANARDGAALDNHIYMDSMGFGMGCCCLQITFQAKSCDEARLLYDQLTPITPLMLALSAGTPAFRGYLADQDCRWNVIAGAVDDRTEEEMKTVPKSRYDSVDLYISNDKRNLPEYNDVPVVINQDCYDKLIKDCIDERLAKHMAHIFSRDPLVIFSDSILQDNSVSNAHFENLNSTNWQSMRFKPPPPGSDIGWRVEFRSMEIQITDFENAAYSIFVVMLSRAILSFNLNLYMPISLVDENMKAAHARDAIHRKKFWFRCNPFPDASTDDESGQFRQLTIDELFNGEHRENGFPGLITIVRSYLYSCNPDAKTICLIERYIRLISQRANGQCLTAASWIRNFITTHPSYKQDSVVNDEINYDLIRRIAKIVDGDYDDTLLGKCS