Q0CR17 AF NFT

Cytosolic Fe-S cluster assembly factor nar1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifugfgfem2ghomtd6ur6bdz7mhft5fufmp2gfzu7dsgobl4qbulyi/metadata.json
IPFS of structure file: 
bafybeifxpjzi672tbvncd6hrjmqllgbxujkswip7jylxfyvdaqq6v7nt4q/AF-Q0CR17-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x270E62591AbF98D9aE543aCe3b9CA0493e08E3E2
First NFT owner address (bech32): 
genesis1yu8xykg6h7vdntj58t8rh89qfylq3clzjv5s67
Current NFT ID #259402 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
259402
Accession (UniProt):
Q0CR17
Name::
Cytosolic Fe-S cluster assembly factor nar1
Experimental Method:
Predicted structure
Sequence source:
Aspergillus terreus (strain NIH 2624 / FGSC A1156)

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 Q0CR17 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0CR17|NAR1_ASPTN Cytosolic Fe-S cluster assembly factor nar1 OS=Aspergillus terreus (strain NIH 2624 / FGSC A1156) OX=341663 GN=nar1 PE=3 SV=1 MSAILSADDLNDFISPGVACIKPIESLPSKQPQKSDNPYEVTTEDKVQAENPTPAQISLTDCLACSGCVTSAEAVLISLQSHTEVLNTLDAHPELRLIQNEQGTSLDPRSAQDDEGRIFVASVSPQVRASLAATYGVSEKEATSIIHQLLSGPHGLRAGGKHGSGFTWVIDTNIMREAVLVLTADEVSDTLASEAKDPSLPKKPIVSSACPGWVCYAEKTHPFILPHLSKLKSPQALAGTLLKSTLSKTLGVPVSRIWHLAVMPCFDKKLEASREELTDVTWNPADGQMFSQPQTPVRDVDCVITTRELLTLASARGISLPSILSKSSSVSFPSFPDKALDDYLFSKRSLSAQSMMTGTSGGYLHHVLTSFQARNPGSEIVAERGRNADVVVYKLVSPENGSIIEAARYYGFRNIQNLVNKLKPPEMSKLSGARRNDALGGKARMQLSSRKAAAKTKFDYAYVEVMACPGGCTNGGGQIRIEDAREANLTAQTGTPADTNGAASKPSPHEQRAWLARVDEAYFSAGDSEDETEASSKHFSILEREAGIHQILHYWSDLMGVPLSKLAYTTFREVESDVGKPQEGVNATAQAALREGTNW