Q65C83 AF NFT

Uteroglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiddpe5sguyyqfphei2esu4iuacucvuhje325bj2szkoydvr5ihgve/metadata.json
IPFS of structure file: 
bafybeiggykfhxl2ww6hnqtyur6jjhmm3jcicd25ch7d3itepqbpvqcp5be/AF-Q65C83-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6Ed09D80e98fE15DE51C9E7a8896AbF1f2365C3e
First NFT owner address (bech32): 
genesis1dmgfmq8f3ls4meguneag394t78ervhp7h90qf8
Current NFT ID #492867 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
492867
Accession (UniProt):
Q65C83
Name::
Uteroglobin
Experimental Method:
Predicted structure
Sequence source:
Neotomodon alstoni

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 Q65C83 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65C83|UTER_NEOAS Uteroglobin OS=Neotomodon alstoni OX=230081 GN=SCGB1A1 PE=3 SV=1 MKLAITIILVMLSVCYSSDTCPGFLQVLEYLFMGSESTYEAALKFYNPGSDLQNSGMQLKKLVDTLPEKTRVNIVKLSEIILTSNLCNQDPSF