Q65LE9 AF NFT

Arginine biosynthesis bifunctional protein ArgJ

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeid3t5mf5qrzjnc4hjagzr7f676wkwc7cn7shflann3d7btop4ohd4/metadata.json

IPFS of structure file:

bafybeibn4gcgvumcvdotxtys36pj3owyd2exixljitlayit55sg2j4vm7q/AF-Q65LE9-F1-model_v2.pdb

First NFT owner address (eip-55):

0xc4AD6f20Bbd648fFae35BAe632C5f48A02B10536

First NFT owner address (bech32):

genesis1cjkk7g9m6ey0lt34htnr93053gptzpfk7373sy

Current NFT ID #22005 owner (web3):

0xc4AD6f20Bbd648fFae35BAe632C5f48A02B10536

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
22005
Accession (UniProt):
Q65LE9
Name::
Arginine biosynthesis bifunctional protein ArgJ
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65LE9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65LE9|ARGJ_BACLD Arginine biosynthesis bifunctional protein ArgJ OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=argJ PE=3 SV=1 MIQVSQDSIKKTDGSVASPKGYLAKGVHCGLRYSKKDLGIIISSRPAVSAAVYTQSHFQAAPIKVTQESLKKSAHLQAVIVNSANANACTGEQGLKDAYEMRRQSADMLGIEPDLVAVSSTGVIGEYLNMENITKGISLLAETEPAEGDFEEAILTTDTVIKQTCYELMIGGQKVTIGGAAKGSGMIHPNMATMLGFVTTDACIEESALQRALREITDVSFNQITVDGDTSTNDMVLVMANGCAGNERLHEEHEDWPVFKKGLQLVCTDLAKQIARDGEGATKLIEVEVNGAKSNLEAQIIAKKIVGSNLVKTAVYGTDANWGRIVVAIGDSMAAVTPEKVEIRLGGQCLFKNNEPQPFSEELAKTYLENSEVKIEVFMQEGEGKGTAWGCDLTYEYVKINASYRT

MOLNFT AF v1_w

NFT data

MOLNFT Q65LE9 research and analysis (ICN3D with VR)

FASTA sequences

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