Q9I9I0 AF NFT

Metallothionein-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif652hgf6yvgap2qjcamie2n3yvnimk5j3ir3w4ztxharfvigsvne/metadata.json
IPFS of structure file: 
bafybeihcyxv2iw66tvuub75sxswrzbkcugann4imstiwmpnb42wuekbfri/AF-Q9I9I0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd9b09214Dd6Be532b979757dFeC98f173ea12fae
First NFT owner address (bech32): 
genesis1mxcfy9xad0jn9wtew47lajv0zul2ztaw9xadju
Current NFT ID #246565 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
246565
Accession (UniProt):
Q9I9I0
Name::
Metallothionein-2
Experimental Method:
Predicted structure
Sequence source:
CYPRINUS CARPIO

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 Q9I9I0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I9I0|MT2_CYPCA Metallothionein-2 OS=Cyprinus carpio OX=7962 GN=mt2 PE=3 SV=1 MDPCDCAKTGTCNCGATCKCTNCQCTTCKKSCCSCCPSGCSKCASGCVCKGNSCGSSCCQ