Q9CWT2 AF NFT

Protein BEX4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieoplelj73wurfmmijnpai5zaglrk6dm22yo6lnletur63ahzku2q/metadata.json
IPFS of structure file: 
bafybeib5g5qtznubioultrno4brqzpfmjs5a3r6xncc6nwxonwp3ahanfq/AF-Q9CWT2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x231eBCEd4e8583D9f1EF3B1E390332c5251f6FC1
First NFT owner address (bech32): 
genesis1yv0tem2wskpanu008v0rjqejc5j37m7pnklkf4
Current NFT ID #42328 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
42328
Accession (UniProt):
Q9CWT2
Name::
Protein BEX4
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 Q9CWT2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CWT2|BEX4_MOUSE Protein BEX4 OS=Mus musculus OX=10090 GN=Bex4 PE=1 SV=1 MASKFKQVILDLTVEKDKKDKKGGKASKQSEEEPHHLEEVENKKPGGNVRRKVRRLVPNFLWAIPNRHVDRNEGGEDVGRFVVQGTEVKRKTTEQQVRPYRRFRTPEPDNHYDFCLIP