Q0ATU3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibo6ntt5mawaaavr5ukj67rdfrectxijxyo7whlcdelqave5o3i2m/metadata.json
IPFS of structure file: 
bafybeibq5wo4hbyww35m72lc7hyq4beizzt4gh5qwsm3fioxk4kucuk43u/AF-Q0ATU3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0EA189b2343A464f560b44103f6A3396Da1dA8a9
First NFT owner address (bech32): 
genesis1p6scnv358fry74stgsgr763njmdpm29fgnp4ht
Current NFT ID #532618 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532618
Accession (UniProt):
Q0ATU3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
SYNTROPHOMONAS WOLFEI SUBSP. WOLFEI (STRAIN DSM 2245B / GOETTINGEN)

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 Q0ATU3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0ATU3|YIDD_SYNWW Putative membrane protein insertion efficiency factor OS=Syntrophomonas wolfei subsp. wolfei (strain DSM 2245B / Goettingen) OX=335541 GN=Swol_2575 PE=3 SV=1 MQEMLIKLIKIYQKATFFKPASCRFYPSCSNYSIEALRKYGIVKGGWLTVKRLARCHPYNPGGYDPVP