Q9WTM4 AF NFT

Nuclear factor erythroid 2-related factor 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidpavxvmaewz4z6lmrlmvydjxvmozmongfzhufzbgc3wou32b4ifa/metadata.json
IPFS of structure file: 
bafybeide376znmtx5sagfvsepzhsywlgd3wwzthpe7tkfflopc6wjof5ra/AF-Q9WTM4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4B90C51942be0dE1D7B37C1DcDfC4fEd2eCF2c32
First NFT owner address (bech32): 
genesis1fwgv2x2zhcx7r4an0swumlz0a5hv7tpjsvxgsp
Current NFT ID #263399 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
263399
Accession (UniProt):
Q9WTM4
Name::
Nuclear factor erythroid 2-related factor 3
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9WTM4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9WTM4|NF2L3_MOUSE Nuclear factor erythroid 2-related factor 3 OS=Mus musculus OX=10090 GN=Nfe2l3 PE=1 SV=1 MKLPKPWWAGGGLLQLTILLSLVGLRVDLDLFLPPPAAALWEELLPLCPTRPASASNPFSASEGWERTPLLPAKGRLLHEVRALGVPFIPRTRVDAWLVHSVATGNADGAHGLLGTAASSAVGDGGQSASAGGGDPRAAHSSPLAAEEEEEKAAEPTAQVPDAGGCGSQENGMLREKSEAVDHSSQQEENEEGVSAQAKSRQQSKTEEHKMACASAREAEKITEARNESHLHWSDTSFSLEDLFQLLSSQPEHSLEGISVEDIPPFLSSVCESVNSSAQNINLSQAISHDVNLHEAMLLYPNNTFRRDPSARSSQAQEPFLQLNPHTNPEQATPAMSLPPFDNQMRNLTSQDLLYDLDSNIFDGINLMSLATGFSPLEVSQLFEEPDSGLSLNSSYNSTSLTNSYRIYDGTVGYNSDLQSLCHDLGAVGGCYPEPHKHCHMDHRTIAGFHVSLECQQVFHDHTYHLQSGASEPTSESFAWSEKSQKTSGCLDNPDRNLSRDEQRAKALHIPFSVDEIVRMPVDSFNSMLSRYYLTDLQVSLIRDIRRRGKNKVAAQNCRKRKLDIILNLEDDICNLQAKKEALKNEQTQCSKAIDIMRQKLHGLHQDVFNRLRDDQGRPVNPSQYALQYSHDGTVLIVPKELISSGHKKEAPKGKRERRN