Q28709 AF NFT

CD63 antigen

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiheunltbo4jrvtqw4bq7vkbneffqoxkdv3ioggbaiqusmqxoqldxa/metadata.json
IPFS of structure file: 
bafybeiflv6nec7x47ejgqzxevkkeyernh3rxvkoatjllqvpuwgwrwvw4la/AF-Q28709-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF5183B7F8b5C47bB916c44D76C94a3f60767809e
First NFT owner address (bech32): 
genesis175vrklutt3rmhytvgntke99r7crk0qy7swmwur
Current NFT ID #56349 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
56349
Accession (UniProt):
Q28709
Name::
CD63 antigen
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 Q28709 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q28709|CD63_RABIT CD63 antigen OS=Oryctolagus cuniculus OX=9986 GN=CD63 PE=2 SV=2 MAVEGGMKCVKFLLYVLLLAFCACAVGLIAVGVGAQLVLSQTITHGATPGSLLPVVIIAVGAFLFLVAFVGCCGTCKENYCLMITFAIFLSLIMLVEVAAAIAGYVFRDKVMSEFNKDFRQQMQNYSTDNQTALILDRMQKDFTCCGAANYTDWATIPGMTRDRVPDSCCVNVTSGCGVKFNVKDIYVEGCVEKIGLWLRKNVLVVAAAALGIAFVEVLGIVFACCLVKSIRSGYEVM