Q87WZ4 AF NFT

Arginine biosynthesis bifunctional protein ArgJ

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiev7aqj4l65mdfu5b6jozjnoqnjbnymry3ck4lbsf37xonbc4zryy/metadata.json

IPFS of structure file:

bafybeic6icggbmx2exntor4ktlxdhcsblxuvyhptfb5xk733woawf5tx24/AF-Q87WZ4-F1-model_v2.pdb

First NFT owner address (eip-55):

0xd1f836FeE27f3d90E17339F1a3544259439641A4

First NFT owner address (bech32):

genesis168urdlhz0u7epctn88c6x4zzt9pevsdy4zge2l

Current NFT ID #22130 owner (web3):

0xd1f836FeE27f3d90E17339F1a3544259439641A4

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
22130
Accession (UniProt):
Q87WZ4
Name::
Arginine biosynthesis bifunctional protein ArgJ
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS SYRINGAE PV. TOMATO (STRAIN ATCC BAA-871 / DC3000)

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 Q87WZ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q87WZ4|ARGJ_PSESM Arginine biosynthesis bifunctional protein ArgJ OS=Pseudomonas syringae pv. tomato (strain ATCC BAA-871 / DC3000) OX=223283 GN=argJ PE=3 SV=1 MAVGLGPLPALHPVPGFELGISSAGIKRPGRKDVVVMRCAEGSSVAGVFTLNAFCAAPVILAKQRVQGTVRYLLTNTGNANAGTGEPGLVAARRTCEALAQLTGVDASAVLPYSTGVIGEPLPVEKIEGALQAALDDLSVDNWAAAATGIMTTDTLPKGASRQFTHDGVTITVTGISKGAGMIRPNMATMLGYIATDAKVSQSVLQDLIRDGANKSFNRLTIDGDTSTNDCCMLIATGQADLPEITEAKGLLFEALKKAVFDVCMEVAQAIVRDGEGATKFVTVEVNGGGNHQECLDVGYAVAHSPLIKTALFASDPNWGRILAAVGRAGVPDLDVSKIDVFLGGVCIASQGCRATTYTEEQGSAVMAEAEITIRIELGRGDCSETIWTTDLSHEYVKINAEYRT

MOLNFT AF v1_w

NFT data

MOLNFT Q87WZ4 research and analysis (ICN3D with VR)

FASTA sequences

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