P86764 AF NFT

Parvalbumin beta 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiadqwamazsoykab322m426thdf2gqy3tnt2w32ldssms4mba4gnda/metadata.json
IPFS of structure file: 
bafybeiebe5wruahnfebcpclcel2n2yaduyyke2y3nlu6nlcvpouyxpijia/AF-P86764-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa0269D2f8346f93BD986199F0B310E8F43873427
First NFT owner address (bech32): 
genesis15qnf6turgmunhkvxrx0skvgw3apcwdp8h7yxgp
Current NFT ID #311887 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
311887
Accession (UniProt):
P86764
Name::
Parvalbumin beta 1
Experimental Method:
Predicted structure
Sequence source:
Merluccius hubbsi

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 P86764 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P86764|PRVB1_MERHU Parvalbumin beta 1 OS=Merluccius hubbsi OX=89949 PE=1 SV=1 AFAGILADADITAALAACKAEGTFKHGEFFTKIGLKGKSAADIKKVFGIIDQDKSDFVEEDELKLFLQNFSAGARALTDAETATFLKAGDSDGDGKIGVDEFAAMVKG