Q9K921 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifss2rqj52m4thzkzmb3fpgfmyvnxhobpo5rflybujh7ksnkiibxq/metadata.json
IPFS of structure file: 
bafybeicqggfrcgn6zg5wxctrh7b47h5zzgzmb7a5mc5q4pt5i2jhrpax74/AF-Q9K921-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE4E7B2ca7D406E6bc95fEB877da5B1E0D0e67Ffc
First NFT owner address (bech32): 
genesis1unnm9jnagphxhj2lawrhmfd3urgwvllueqnwp4
Current NFT ID #532166 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532166
Accession (UniProt):
Q9K921
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9K921 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9K921|YIDD_ALKHC Putative membrane protein insertion efficiency factor OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=BH2828 PE=3 SV=1 MKRFFIGCIRLYQKFISPLTPPTCRFYPTCSHYGIEAIQRFGVLKGGWLTIKRISKCHPFHRGGIDPVPEKKQEK