C1EW67 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiesicsoaxk364zwxm254d44564lvgzefjjs7pesed5nuylsuz33pi/metadata.json
IPFS of structure file: 
bafybeialgabmnxjwkthtjyox2h5xyefruooqjf74flt3hthkf34yccn4e4/AF-C1EW67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #532185 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532185
Accession (UniProt):
C1EW67
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain 03BB102)

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 C1EW67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1EW67|YIDD_BACC3 Putative membrane protein insertion efficiency factor OS=Bacillus cereus (strain 03BB102) OX=572264 GN=BCA_4924 PE=3 SV=1 MKQIFIGIIRFYQKFISPMTPPTCRFYPTCSHYGLEAFQKHGAFKGFWLTCKRILKCHPFHPGGFDPVPDKKDDKVNS