Q6DC93 AF NFT

Peflin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibpxfmcdjw6gg2ciza2mr2waxrape3cvyg7ct3aprm7dupzag6qiy/metadata.json
IPFS of structure file: 
bafybeicbhnnmr4ivkj4w6fawuax4qgxenq6bmycilkntjimi66udnhwtfm/AF-Q6DC93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd4b26826943B18d73BEAc264FD887536a26907B8
First NFT owner address (bech32): 
genesis16jexsf558vvdwwl2cfj0mzr4x63xjpacz2hr3t
Current NFT ID #293042 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
293042
Accession (UniProt):
Q6DC93
Name::
Peflin
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 Q6DC93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6DC93|PEF1_DANRE Peflin OS=Danio rerio OX=7955 GN=pef1 PE=2 SV=1 MSYQYGQGYSGPGGNAPQWQQPPRAPYAGGPAAGQYGSPYGSAPPGQQYGGGSPYGSYGQPGPRAPYGGGQAPGGPYGGYGQPQGGPYRQQGSAGNVPPGVNPEAYQWFSTVDSDQSGYINAKELKQALMNFNNSSFNDETCIMMLNMFDKTKSGRVDVFGFSALWTFLQQWRAAFQQFDRDRSGSINTNEMHQALSQMGYNLSPQFIQELVNRYSVRGGTGVLQLDRFIQVCTQLQSMTQAFREKDTGMTGNVRMSYEDFLSSAITRLM