Q62EM3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihmyoaen6ul6saxk47sjlyx4uebimh7ehjv2wm3biiljjpe4yjrvi/metadata.json
IPFS of structure file: 
bafybeiguvbil4ifclzvqjsctwu7aouaro54amylh5pqqdrlhu6ws5auzbm/AF-Q62EM3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #532233 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532233
Accession (UniProt):
Q62EM3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA MALLEI (STRAIN ATCC 23344)

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 Q62EM3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q62EM3|YIDD_BURMA Putative membrane protein insertion efficiency factor OS=Burkholderia mallei (strain ATCC 23344) OX=243160 GN=BMA3398 PE=3 SV=2 MQTVLIALLRFYKLAVSPLLGSRCRFYPSCSDYAREAIQYHGAARGTYLAARRLCRCHPFSAGGVDLVPPPNSDARNAPHEAEASSHRL