Q2STL9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibpw7ty7fsga3pj4gyevj6uksfrsejaxvo46oyomxvwactnmhy6eu/metadata.json
IPFS of structure file: 
bafybeic4axvrommr2gybhk5z2ec3wgrpb2hwr3nimv5gzuam24k6pi7hny/AF-Q2STL9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x595Ca4bb5814aa4883f946Db6B5e4d02B50e5E75
First NFT owner address (bech32): 
genesis1t9w2fw6czj4y3qlegmdkkhjdq26suhn42quqes
Current NFT ID #532239 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532239
Accession (UniProt):
Q2STL9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA THAILANDENSIS (STRAIN ATCC 700388 / DSM 13276 / CIP 106301 / E264)

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 Q2STL9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2STL9|YIDD_BURTA Putative membrane protein insertion efficiency factor OS=Burkholderia thailandensis (strain ATCC 700388 / DSM 13276 / CIP 106301 / E264) OX=271848 GN=BTH_I3236 PE=3 SV=1 MQTVLIALLRFYKLAVSPLLGSRCRFYPSCSDYAREAIQYHGAARGTYLAARRLCRCHPFSAGGIDLVPPPNSDARNAPHEAEASSHRL