Q9K7C3 AF NFT

L-arabinose transport ATP-binding protein AraG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifqko2b2jk3sj6wl64wcl4gedobhukxs3fdha75xwb6o6jeecc3li/metadata.json
IPFS of structure file: 
bafybeig6ohvxgotihrrf5p2eygumhd7nymfhjtw6wmljopaeejas4fq7si/AF-Q9K7C3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7c75F0f7d6d136A2b8D4C6C6e9b3D8a697949DF1
First NFT owner address (bech32): 
genesis1036lpa7k6ym29wx5cmrwnv7c56tef803cmwzax
Current NFT ID #19981 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
19981
Accession (UniProt):
Q9K7C3
Name::
L-arabinose transport ATP-binding protein AraG
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9K7C3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9K7C3|ARAG_ALKHC L-arabinose transport ATP-binding protein AraG OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=araG PE=3 SV=1 MNMPNCLLEMRNITKAFPGVKALNNVNLKVEQGEIHALVGENGAGKSTLMKVLSGVYPHGTYEGDILFEGRVCQFKDIKESEQLGIVIIHQELALVPELSIAENIFLGNEQAKNGVIDWNQTITEAAKLLKKVGLSDSPRTLAMNIGVGKQQLVEIAKALSKKVKLLILDEPTAALNEEDSQNLLHLLLEFKKQGMTSIIISHKLNEISYVADHLTILRDGQSIETLSLQSGEVTEDRIIKGMVGRDLENRFPPREPKIGDVILEVNHWHVDDPLHPDRSLIKDVNLYLKRGEIVGVAGLMGAGRTELAMSIFGKSYGKNIRGQLIKDGKEIKVHSVKDAIDHGLAYVTEDRKTYGLILIDDIKHNISLTSLEKLSKNGVVDKTREVKEAEDFRKKMNIRTPSIDQKTGNLSGGNQQKVVLSKWILSGPDILILDEPTRGIDVGAKYEIYSVIHELAAQGKAVLVISSELPELLGLSDRIYALCEGRITGEVTREEANQEILMKYMTRTGGNGHEVS