Q81KF2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidysph7lfwimup4jegvhksgpaui37z2mbugn5pg47jfeb23nmnrom/metadata.json
IPFS of structure file: 
bafybeicnhtllswukzwelcfdh3h25p4c6kk6tk6xgvunfb4afkgnfdhh3p4/AF-Q81KF2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x349970eD3FBF3313Ef0797A88049577a5b02A386
First NFT owner address (bech32): 
genesis1xjvhpmflhue38mc8j75gqj2h0fds9guxkt5ps4
Current NFT ID #532181 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532181
Accession (UniProt):
Q81KF2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BACILLUS ANTHRACIS

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 Q81KF2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q81KF2|YIDD_BACAN Putative membrane protein insertion efficiency factor OS=Bacillus anthracis OX=1392 GN=BA_5048 PE=3 SV=1 MKQIFIGIIRFYQKFISPMTPPTCRFYPTCSHYGLEAFQKHGAFKGFWLTCKRILKCHPFHPGGFDPVPDKKDDKVNS