Q06318 AF NFT

Uteroglobin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigow7ab663tvudqiaulvilnt6e44wmef7z3yemmj6iq64itdc4huy/metadata.json
IPFS of structure file: 
bafybeigq27k6newrcbbldxtq3rf376kxbfaoyu3ypk5aqju2rvzxsnjgo4/AF-Q06318-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x43F732ebc9C0228C7C6DD25324855fCd3e729A87
First NFT owner address (bech32): 
genesis1g0mn967fcq3gclrd6ffjfp2le5l89x58p9e3s3
Current NFT ID #492866 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
492866
Accession (UniProt):
Q06318
Name::
Uteroglobin
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 Q06318 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q06318|UTER_MOUSE Uteroglobin OS=Mus musculus OX=10090 GN=Scgb1a1 PE=1 SV=1 MKIAITITVVMLSICCSSASSDICPGFLQVLEALLMESESGYVASLKPFNPGSDLQNAGTQLKRLVDTLPQETRINIMKLTEKILTSPLCKQDLRF