Q2PFZ0 AF NFT

Metallothionein-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih3vacb6uhvfnmswemcvadphnlqye6sikinplnapysd4zj7xi3wxm/metadata.json
IPFS of structure file: 
bafybeicw66flra57mtyv62qljx2q5lxsdivqb3pj4uua5x3woapra53ha4/AF-Q2PFZ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc2109dbc626e92C6A5c19af95f000C679e655bF6
First NFT owner address (bech32): 
genesis1cggfm0rzd6fvdfwpntu47qqvv70x2klk5p4pna
Current NFT ID #246600 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
246600
Accession (UniProt):
Q2PFZ0
Name::
Metallothionein-3
Experimental Method:
Predicted structure
Sequence source:
MACACA FASCICULARIS

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 Q2PFZ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2PFZ0|MT3_MACFA Metallothionein-3 OS=Macaca fascicularis OX=9541 GN=MT3 PE=3 SV=1 MDPETCPCPSGGSCTCADSCKCEGCKCTSCKKSCCSCCPAECEKCAKDCVCKGGEGAEAEAEKCSCCE