B9IUK2 AF NFT

UPF0154 protein BCQ_3484

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigxe3jv7iz7yqvxlj36gxvngikvjxs24o76xynysp6debfygezzmq/metadata.json
IPFS of structure file: 
bafybeihheocofsthwkkaydn5do2qj5i4o4ooa3meldfjeukg2a6s7pvis4/AF-B9IUK2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #515507 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
515507
Accession (UniProt):
B9IUK2
Name::
UPF0154 protein BCQ_3484
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain Q1)

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 B9IUK2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9IUK2|Y3484_BACCQ UPF0154 protein BCQ_3484 OS=Bacillus cereus (strain Q1) OX=361100 GN=BCQ_3484 PE=3 SV=1 MPIWLGILVGVVALVAGVALGFFIARKYMMNYLQKNPPINEQMLKMMMMQMGQKPSQKKINQMMSAMNKQQMK