Q0BAQ1 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid6wexax7zxgqxoljdudn3fbhgbirgfg2uoydfwxw3qziulounjpi/metadata.json
IPFS of structure file: 
bafybeiatiu5gywixiiea2lydxp563kisk55zsvqpyzmzmxferu4zgxmqrm/AF-Q0BAQ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9d7467021Db73aeAa95A2Ab5150B26f506bE6044
First NFT owner address (bech32): 
genesis1n46xwqsakuaw422692632zex75rtuczykapmfp
Current NFT ID #532229 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532229
Accession (UniProt):
Q0BAQ1
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA AMBIFARIA (STRAIN ATCC BAA-244 / AMMD)

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 Q0BAQ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0BAQ1|YIDD_BURCM Putative membrane protein insertion efficiency factor OS=Burkholderia ambifaria (strain ATCC BAA-244 / AMMD) OX=339670 GN=Bamb_3216 PE=3 SV=1 METVLIALLRFYKVAVSPMLGNRCRFYPSCSDYAREAIQYHGAARGTYLAVRRVCRCHPFSAGGIDLVPPPNSDTRARGEADARSHRL