Q2K856 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiewuow3wxgqtcm5srleokhwqblaw77nf7qrklhokxgin36sfk7e5i/metadata.json
IPFS of structure file: 
bafybeid35copf2si6t3qfzktn6kdqotjib5ju5aapqwonlj7ylldm6xnt4/AF-Q2K856-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x431CFe1eAbd5D5954346E0071B3917b9D0600749
First NFT owner address (bech32): 
genesis1gvw0u84t6h2e2s6xuqr3kwghh8gxqp6flxg96j
Current NFT ID #532489 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532489
Accession (UniProt):
Q2K856
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM ETLI (STRAIN CFN 42 / ATCC 51251)

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 Q2K856 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2K856|YIDD_RHIEC Putative membrane protein insertion efficiency factor OS=Rhizobium etli (strain CFN 42 / ATCC 51251) OX=347834 GN=RHE_CH02199 PE=3 SV=1 MCEFCVRQADDEDDGGAAASGRPNARTARYSRNYAGPFRKTPDRLLGMGLIRLYQLTLSGFVGNSCRHIPTCSEYGYEAIARHGLWAGGWMTLFRVARCGPGGTSGLDPVPEILSDGFRWWTPRRYLSLGRKRG