Q6DBW9 AF NFT

CD99 antigen-like protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigdc7e24kuu3nhqfkbmr6e6uju7xapznzpvbf7jebvzug3xvxiopu/metadata.json
IPFS of structure file: 
bafybeie75n3y7henvlrxoxhhhe3hiigj22gveudz72s76cxh45p4zvw2ci/AF-Q6DBW9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9130a41bCa92dF77878ec5A9328e3D47AA08B359
First NFT owner address (bech32): 
genesis1jyc2gx72jt0h0puwck5n9r3ag74q3v6ezwewtr
Current NFT ID #48563 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
48563
Accession (UniProt):
Q6DBW9
Name::
CD99 antigen-like protein 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 Q6DBW9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6DBW9|C99L2_DANRE CD99 antigen-like protein 2 OS=Danio rerio OX=7955 GN=cd99l2 PE=2 SV=1 MEKTLWTWTLLAVFSLLVVKGMSDGLDLADALGDDDDDEPTTKPPKADPGAGGAGGAAVKPTLKPVKPTVKEPAKPKPKQTGLDDFDLADALNPDNDIKGKGKDSGKGDKEVGGGSRDDGTPNSRGSQFSDDDLLDVGNDNSYKPDKGKGGKGGSSSNVGDLDPADDNNYDTMAETGTIAGIVSAVAMALVGAVSSYISYQKKKLCFSIQQSLNADMVKADAPDAVVAQEPQVQQTLLQPPNAEPPTEENAV