Q80YW0 AF NFT

Cytohesin-4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidg5mkibaa6ed5pnmz7byrnxi6segi7uymb6gnzvqtuep2q7sdz3u/metadata.json
IPFS of structure file: 
bafybeif537hqfawyuggiq35o4gtsnyiy6ttvwiu3hyj4jxge57zkqhozrq/AF-Q80YW0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x68F36ab0eF51472378Ec9D873813C81d263556bD
First NFT owner address (bech32): 
genesis1drek4v8029rjx78vnkrnsy7gr5nr244ajaeyez
Current NFT ID #84747 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
84747
Accession (UniProt):
Q80YW0
Name::
Cytohesin-4
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 Q80YW0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q80YW0|CYH4_MOUSE Cytohesin-4 OS=Mus musculus OX=10090 GN=Cyth4 PE=1 SV=1 MDVCHTDPAELSSGEAKELQQIKWHRKQLLEDIQKLKDEIADVFAQIDCFESTEESRMAQKEKEMCIGRKKFNMDPNKGIQYLIEHKLLTSDVQDIAQFLYKGDGLNKTAIGTYLGEKDPINLQVLQAFVDCHEFANLNLVQALRQFLWSFRLPGEAQKIDRMMEAFAARYCLCNPGVFRSTDTCYVLSFSVIMLNTGLHNPNVRDRPPFERFVTMNRGINSGSDLPEEQLRNLFDSIKSEPFSIPEDDGGDLTHTFFNPDREGWLLKLGGRVKTWKRRWFILTDNCLYYFEFTTDKEPRGIIPLENLSVQKVEDPKKPFCLELYNPSCRGQKIKACKTDGDGKVVEGKHESYRISAANAEERDQWIEAIRASITRVPFYDLLSARKKKIVGK