P35491 AF NFT

Parvalbumin (Fragment)

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiej4u5f32yxs2bs2uuonlsixubl7v4olqrdzf2wyym67stlabcrda/metadata.json
IPFS of structure file: 
bafybeicufm7ivr5322avyjrgvmrxnvfzeqdgoiztbq3eledxykase6k7ve/AF-P35491-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB4237a81E0450E15a14a31663948ACDCB27aF928
First NFT owner address (bech32): 
genesis1ks3h4q0qg58ptg22x9nrjj9vmje847fgp5aq2l
Current NFT ID #311944 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
311944
Accession (UniProt):
P35491
Name::
Parvalbumin (Fragment)
Experimental Method:
Predicted structure
Sequence source:
Scyliorhinus canicula

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 P35491 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P35491|PRVM_SCYCA Parvalbumin (Fragment) OS=Scyliorhinus canicula OX=7830 PE=1 SV=1 PMTKVLNAADISKALNAFEAPGSFDHKKFFQLVGLKGKTHEQVKKVFNIL