Q39BQ1 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiajg6ot7kwmfefao6p77zkylwk2l2czgbagcbzanr4knwicuyz7wq/metadata.json
IPFS of structure file: 
bafybeid2zmzqzmtjxza3r2h5llti3ukwimidpvdzz5vpbv3x33how7an5a/AF-Q39BQ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #532230 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532230
Accession (UniProt):
Q39BQ1
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA LATA (STRAIN ATCC 17760 / DSM 23089 / LMG 22485 / NCIMB 9086 / R18194 / 383)

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 Q39BQ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q39BQ1|YIDD_BURL3 Putative membrane protein insertion efficiency factor OS=Burkholderia lata (strain ATCC 17760 / DSM 23089 / LMG 22485 / NCIMB 9086 / R18194 / 383) OX=482957 GN=Bcep18194_A6521 PE=3 SV=1 METVLIALLRFYKVAVSPMLGNRCRFYPSCSDYAREAIQYHGAARGTYLAVRRVCRCHPFSAGGIDLVPPPNSDTRARGEADARSHRL