Q7MRJ7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihxxqfzib64x2ivydpqpxwj2gq3rcczdb23zcdvwflmyq4cr5lire/metadata.json
IPFS of structure file: 
bafybeiel53mkhoocfib47w57np6kcfep2s6hplbappensqystloawz7c6q/AF-Q7MRJ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB35df660264f41795De49C83276C108A4ba91ADE
First NFT owner address (bech32): 
genesis1kdwlvcpxfaqhjh0ynjpjwmqs3f96jxk780zc93
Current NFT ID #532642 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532642
Accession (UniProt):
Q7MRJ7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
WOLINELLA SUCCINOGENES (STRAIN ATCC 29543 / DSM 1740 / LMG 7466 / NCTC 11488 / FDC 602W)

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 Q7MRJ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7MRJ7|YIDD_WOLSU Putative membrane protein insertion efficiency factor OS=Wolinella succinogenes (strain ATCC 29543 / DSM 1740 / LMG 7466 / NCTC 11488 / FDC 602W) OX=273121 GN=WS1287 PE=3 SV=1 MRTLLIGMIWVYQKVISPLKRPTCRYYPSCSEYALWLFSYSNFWYALLFSLRRILRCNSLFEGGIDYPIISKRITPIFGSPRLIKVWLVPLCPQKDWSAKGKFYLIKSMKVVQC