Q9CYZ2 AF NFT

Tumor protein D54

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifd32qjmva2vdawccqghjnzrzeenlsgznrmwp6wlgounjywnqglma/metadata.json
IPFS of structure file: 
bafybeibgcqx7ys3r77yq7kxoarszoxsfb3levvhivmjryvpbkudktthvoy/AF-Q9CYZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x151bF0C739b82Ea7FD0C3f1546E5996DA5bA6bdD
First NFT owner address (bech32): 
genesis1z5dlp3eehqh20lgv8u25devedkjm567aus9ad4
Current NFT ID #470625 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
470625
Accession (UniProt):
Q9CYZ2
Name::
Tumor protein D54
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9CYZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CYZ2|TPD54_MOUSE Tumor protein D54 OS=Mus musculus OX=10090 GN=Tpd52l2 PE=1 SV=1 MDSASQDINLNSPNKGVLSDFMTDVPVDPGVVHRTPVVEGLTEGEEEELRAELAKVEEEIVTLRQVLAAKERHCGELKRRLGLSTLGELKQNLSRSWHDVQVSTAYVKTSEKLGEWNEKVTQSDLYKKTQETLSQAGQKTSAALSTMGSAISRKLGDMSSYSIRHSISMPVMRNSATFKSFEDRVGTIKSKVVGGRENGSDNLPPSPGSGDQTLPDHAPF