Q7W3S6 AF NFT

Arginine biosynthesis bifunctional protein ArgJ

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiateulxqn4ilmkzfdenckp5ynnwbrxnukukgrr75ysb26zsqwyevi/metadata.json

IPFS of structure file:

bafybeien5skoyhbe5qzr4fxovztzbdprs535kl4gvj4gdp6bgfwxrlxrby/AF-Q7W3S6-F1-model_v2.pdb

First NFT owner address (eip-55):

0x4C5d1f42C76C21E948aC0026486f134eF645C76B

First NFT owner address (bech32):

genesis1f3w37sk8dss7jj9vqqnysmcnfmmyt3mt24awdd

Current NFT ID #22012 owner (web3):

0x4C5d1f42C76C21E948aC0026486f134eF645C76B

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
22012
Accession (UniProt):
Q7W3S6
Name::
Arginine biosynthesis bifunctional protein ArgJ
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA PARAPERTUSSIS (STRAIN 12822 / ATCC BAA-587 / NCTC 13253)

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 Q7W3S6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7W3S6|ARGJ_BORPA Arginine biosynthesis bifunctional protein ArgJ OS=Bordetella parapertussis (strain 12822 / ATCC BAA-587 / NCTC 13253) OX=257311 GN=argJ PE=3 SV=1 MAVNLQIPSESEILPVAGVEIGVAEAGIRKAGRRDLTVFRLAPGSAVAGVFTRNRFRAAPVQVCEAHLAQGGPIRALVVNTGNANAGTGAPGLKNAQDTCAALGKLLDVPAEQILPFSTGVILEPLPMDRLTAGLPAAVADLRADGWYGAAHGIMTTDTLPKIHSRRVDIGGKTVTITGISKGAGMIRPNMATMLGFLATDAGIAQPLLRQLAIELADVSFNRITVDGDTSTNDSFILIATGQAGVTVDSAGDAAYAALRDALAAAATDLAQKIVRDAEGATKFMTIRVEEAGNTEEALKVAYAVAHSPLVKTAFFASDPNLGRILAAIGYAGIDDLDVSRLRLWLGDVLVAVDGGRNPDYQEADGQRVMKQAEILVRIALGRGQVADTVYTCDFSHEYVTINADYRS

MOLNFT AF v1_w

NFT data

MOLNFT Q7W3S6 research and analysis (ICN3D with VR)

FASTA sequences

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