Q7WY63 AF NFT

Protein AntE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6ywly4tywpss7bni7wcuggpxgldeutmmzmjzaymqdaiukhb4ruy/metadata.json
IPFS of structure file: 
bafybeihkm5l3waj5slg54jos5it2fy4yzbnmwjon7arkc4pnfexmhexi2i/AF-Q7WY63-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE83892548e88C098Ea0eB1D6dAb6CCCF839Ad27B
First NFT owner address (bech32): 
genesis1aqufy4yw3rqf36swk8td4dkve7pe45nmnkgx7x
Current NFT ID #16966 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
16966
Accession (UniProt):
Q7WY63
Name::
Protein AntE
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 Q7WY63 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7WY63|ANTE_BACSU Protein AntE OS=Bacillus subtilis (strain 168) OX=224308 GN=antE PE=2 SV=1 MPQPFFVLQKTLAGLRNGLLYHLENQFGICQQGEKPTRQKNSLPSALKKRKHCRPLRSQSNEKSVCRAIRKTKVCFLHEKDRVQSSFGLASLIEHNHL