Q52085 AF NFT

Cell-cell adhesion glycoprotein 64

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidpb4ipgtlplcwzckdkufgq3lrte7posfie7d35haavg26ysupm3m/metadata.json
IPFS of structure file: 
bafybeie6xwldtkv66awc6frb6tuj47vb2wanfu3xiwwta33uigh7cz7wyq/AF-Q52085-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7C5991B66CA84425AC947F3bE4428892A9f521dc
First NFT owner address (bech32): 
genesis103verdnv4pzztty50ua7gs5gj25l2gwu8q8f9d
Current NFT ID #155237 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
155237
Accession (UniProt):
Q52085
Name::
Cell-cell adhesion glycoprotein 64
Experimental Method:
Predicted structure
Sequence source:
Heterostelium pallidum

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 Q52085 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q52085|GP64_HETPA Cell-cell adhesion glycoprotein 64 OS=Heterostelium pallidum OX=13642 GN=gp64 PE=1 SV=1 MNKFITLFVLLASVSVAMSATCLTCVKEGAVCDATANICEEGTVCIKPNSTAANTICFVLPTLNEDCSGPLACADSYYCNTTSKICVEAYYLGVGESCSSENQCSTSLVCTGGKCVNEVYPLCGASNSRVGCKAGEGCAFNGTALVCSPFIANGAACNTSTSGLCHPVSSCSNGVCTAPLTGALNSNCTSNTDCNIANGLYCSSGKCTAVPEALNNCTTTPTVDNCLGYSACMCPSNDDTAKTGSCKDTIEYSDVTSDAYNKYDSCVVSCPAVTIVQKQSCLSKCTNPLAGAANNVCSSATTIAFNAFVVFAIVLSVLLF