Q800D3 AF NFT

Metallothionein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiftl3a5b6z6zop65kgti4ayjycg44uzndtb6plet4nkc4fhnrjxsy/metadata.json
IPFS of structure file: 
bafybeiaymn5fiwseqopcjrulxzdd3ihoxsify7sgla2h4eyjxmmgwm2njq/AF-Q800D3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x470aa745D6775c0D00f90B604C6746f028813194
First NFT owner address (bech32): 
genesis1gu92w3wkwawq6q8epdsyce6x7q5gzvv5u4cc8l
Current NFT ID #249154 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
249154
Accession (UniProt):
Q800D3
Name::
Metallothionein
Experimental Method:
Predicted structure
Sequence source:
Gobiomorphus cotidianus

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 Q800D3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q800D3|MT_GOBCO Metallothionein OS=Gobiomorphus cotidianus OX=226931 GN=mt PE=3 SV=1 MDPCECSKTGNCTCGGSCTCKNCSCTSCKKSCCSCCPSGCSKCASGCVCKGKTCDTSCCQ