Q8WMQ3 AF NFT

CD9 antigen

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia5fx6mx5y2bgew4vr3yvkuczxymy42lnia54qcsaru64p7dnepl4/metadata.json
IPFS of structure file: 
bafybeianmuswli2xm3umadayq3egtql2eljabmy3gwo3m2tc626v42ldaq/AF-Q8WMQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBa07a45B8DC60898f701d03c6ae0Ec6dD18010B2
First NFT owner address (bech32): 
genesis1hgr6gkudccyf3acp6q7x4c8vdhgcqy9jy9zvdn
Current NFT ID #56409 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
56409
Accession (UniProt):
Q8WMQ3
Name::
CD9 antigen
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q8WMQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8WMQ3|CD9_PIG CD9 antigen OS=Sus scrofa OX=9823 GN=CD9 PE=2 SV=3 MPVKGGTKCIKYLLFGFNFIFWLAGIAVLAIGLWLRFDSQTKSIFEQENNNSSFYTGVYILIGAGALMMVVGFLGCCGAVQESQCMLGLFFGFLLVIFAIEIAAAIWGYSHKDQVIKEVQDFYRDTYNKLKGKDDPQRETLKAIHYALDCCGLMGEVEQLLADICPQRDVLSSLPMKPCPEAIKEVFQNKFHIIGAVGIGIAVVMIFGMIFSMILCCAIRRSREMV