Q8ZI64 AF NFT

Multifunctional CCA protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihhvnl5vltam6zhu6ryf4nfo7zhbkcgxwlxirbdrnzywxlzph7ypq/metadata.json
IPFS of structure file: 
bafybeifoq3te6iy6esa5xkym5dagq7bwyjrftaz2ooztwto5dnpgnjbnem/AF-Q8ZI64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #54239 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
54239
Accession (UniProt):
Q8ZI64
Name::
Multifunctional CCA protein
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q8ZI64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8ZI64|CCA_YERPE Multifunctional CCA protein OS=Yersinia pestis OX=632 GN=cca PE=3 SV=1 MNIYLVGGAVRDSLLNLPVTEQDWVVVGATPEQLLKLGYQQVGKDFPVFLHPVSHEEYALARTERKSGQGYTGFTCYAAPDVTLEDDLLRRDLTVNAIARSADGEFIDPYHGKQDLENRVLRHVSDAFGEDPLRVLRVARFAARFAYLGFTIAPETMSLMSNMAQSGELSALTPERVWKETEKALKTQSPHVYFQVLRDCGALAVLFPEIERLFGVPAPEKWHPEIDTGIHTLMTLAIAAQLSPEVDIRFAALCHDLGKGLTPKEHWPHHHGHGPAGVKLVEQLCQRLRIPNPVRDLAKLVAEYHDLIHTVNKLRPETLLKLFNAIDVWRKPERLEQMIMTSEADARGRTGFENNPYPQGDYLRAAFQIANGVSIQEVVASGLQGLAIRDELQRRRQQALAEWKQTQETASI