A6H8T7 AF NFT

Cytosolic carboxypeptidase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaazqrw2d5doqg35l5mcgz7uuowtrzmfgg2gmte6eeqjesvszsguq/metadata.json
IPFS of structure file: 
bafybeifhfc4cwwnrnwre4oednayqbgnoppkvokhdjtomxktkv7eiqvkmfa/AF-A6H8T7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x44E9181FBf88898482e9B5f9f7eBcE7D1B2b0722
First NFT owner address (bech32): 
genesis1gn53s8al3zycfqhfkhul067w05djkpeztpz6zs
Current NFT ID #53274 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
53274
Accession (UniProt):
A6H8T7
Name::
Cytosolic carboxypeptidase 2
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 A6H8T7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6H8T7|CBPC2_DANRE Cytosolic carboxypeptidase 2 OS=Danio rerio OX=7955 GN=zte25 PE=2 SV=1 MQKKSDDPYERLLLLHLQHYGFLSDNSSGIPIKREWEGIQDSTASDMINSSSPSESSDSNLEEEQEESKPCSNFFSLNKALRTRQLVFDFDGERPIPRLRDPLDLFTIPSTSCPFQGVRWPIECDVICDKIQHIEWDPSEPETFYQPTGNEQTPMPVGEVRGNTVYCIDPATKASSFTYSRVGGSRGPIKSATSCANNQKEPTLAFESRFECGNLQKAVQVGQYDYGLTLRTDLYTTKHTQWFYFRVRNMREGVTYRFTIINLMKSSSLYGAGMCPLLYSEKTAWLKGEGWKRTGSSIRYYRNNIEQDGKALYSLTWTLEFPYDGDTCYLAHCYPYTYSKLQHYLREVISDPVRAAYCKLRVLCRSLAGNAVYVLTITAPSSSLAERKAKRAVVVTARVHPGETNGSWMMQGFLEFLLSDLPDAHLLRETFIFKVIPMLNPDGVVVGNYRCSLAGRDLNRNYRSMLRDSFPCIWYTRNMVKRLLAEREVVVYCDFHGHSRKNNVFMYGCNERKDASQCLQERVFPLMMSKNAKDKFSFRSCKFKMHKSKEGTGRIVMWRLGIRNSYTMESTFGGSTLGDRKGTHFSTLDLKSMGYCFCDTLLDFCDPDPAKMTRCLEELGVLLKQEIRRKLGREVDSLENLSDIDIESSTSGSNSTESDGLPVHLLNVTNQGKKKLLRSRKERNRLRQGRVQSAGKTDASKPYSCQTLNATTQHGDTEDQS