Q30C86 AF NFT

Adipogenin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicsjyqqbexennbcq36dnpi5ujhrnqanv62gwnaoptrmq3vqmzxppi/metadata.json
IPFS of structure file: 
bafybeibj5arhwy5iuec5q27aoqy3paedqw3ypl7cax6i2heaifuinbvzgq/AF-Q30C86-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #10402 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
10402
Accession (UniProt):
Q30C86
Name::
Adipogenin
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q30C86 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q30C86|ADIG_PIG Adipogenin OS=Sus scrofa OX=9823 GN=ADIG PE=3 SV=1 MKYPLVPLVNELTFSFLASWLCLPVGLLLFLLIVWLRFLLSQDSEENDSDLCFDWEPWSKGPAEFCQEETLHSPEEERPCW