B0JZP3 AF NFT

Protein THEM6

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigpytxskxfjnp6o3o6l6tpqiiyyrwws6t6p4ok77jgkagmimcl26a/metadata.json
IPFS of structure file: 
bafybeick4z2zkyiqurprynuqpzygfhdmhse3hou3o7wyhwijpmppcqhrqy/AF-B0JZP3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf15ee9678a76Fa6d624D70b80730d9238AFAaBa2
First NFT owner address (bech32): 
genesis1790wjeu2wmax6cjdwzuqwvxeyw9042az5d023r
Current NFT ID #462680 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
462680
Accession (UniProt):
B0JZP3
Name::
Protein THEM6
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 B0JZP3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0JZP3|THEM6_DANRE Protein THEM6 OS=Danio rerio OX=7955 GN=them6 PE=2 SV=1 MLLWFLSGSLLLFGTFDVWYFLRGLWVALRCCFQSPIRDVLAEQVVHGRVLLHDMDFMCHMNNARYLRECDFARFAHGTRIGLFMAARALKATMVVGATTIRYRRSLALGEGFELRTRIVSWDEKSFYLEQRFVSKSDGFISAVMLCRQNVIRGSPQNILEFLCKRKVDCPDISEDLQHWIRFISASSQALRAESGLDDKTK