Q60HH0 AF NFT

Battenin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifxglpx76wgmnkor3zgqioygc5yxf6hm4u7gc26jlmbczwezevcxq/metadata.json
IPFS of structure file: 
bafybeie7mflii6mt2iabyya2pfccouahdvywttj5ztal5zw4l2wj2bracy/AF-Q60HH0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE4dDdE4F6dA9c2bAf0CCF2Ea7ebF1b7DF4f1421e
First NFT owner address (bech32): 
genesis1unwaunmd48pt4uxv7t48a0cm0h60zss7hm8ww5
Current NFT ID #65112 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
65112
Accession (UniProt):
Q60HH0
Name::
Battenin
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 Q60HH0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q60HH0|CLN3_MACFA Battenin OS=Macaca fascicularis OX=9541 GN=CLN3 PE=2 SV=1 MGGCAGSRRRLSDSEGEETVPEPRLPLLDHQGAHWKNAVGFWLLGLCNNFSYVVMLSAAHDILSHERTSGNQSHVDPGPAPIPHNSSSRFDCNSVSTAAVLLADILPTLVIKLLAPLGLHLLPYSPRVLVSGICAAGSFVLVAFSHSVGTSLCGVVLASISSGLGEVTFLSLTAFYPRAVISWWSSGTGGAGLLGALSYLGLTQAGLSPQQTLLSMLGIPALLLASYFLLLTSPEAQDPGGEEEAESSARQPLIRTEAPESKPGSSSSLSLRERWTVFKGLLWYIVPLVVVYFAEYFINQGLFELLFFRNTSLSHAQQYRWYQMLYQAGVFASRSSLRCCHIRFTWALALLQCLNLAFLLADVWFGFLLSIYFVFLIILYEGLLGGAAYVNTFHNIALETSDEHREFAMATTCISDTLGISLSGLLALPLHDFLCQLS