Q650K9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibhfwv4xq77kl3oqwkmkb7phtheq7snlolvv5imjoo7eqb6eb6cjy/metadata.json
IPFS of structure file: 
bafybeifz5behah2jqurbp6mrbqkrbvfrzomrhtudseoqqtycsr74hh6px4/AF-Q650K9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x81Cb9D6826c494c4199378382c6Eb30Ba05CC2C7
First NFT owner address (bech32): 
genesis1s89e66pxcj2vgxvn0quzcm4npws9esk8ssr8zr
Current NFT ID #532193 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532193
Accession (UniProt):
Q650K9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Bacteroides fragilis (strain YCH46)

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 Q650K9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q650K9|YIDD_BACFR Putative membrane protein insertion efficiency factor OS=Bacteroides fragilis (strain YCH46) OX=295405 GN=BF0066 PE=3 SV=1 MKRLLSYILLLPIYFYRACISPMTPPSCRFTPTCSQYAIEAIKKHGPFKGLYLAVRRILRCHPWGGSGYDPVP