B8G7G9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifdyoouee7qapwgz2fkrnvi54cm6xvezl2ryogvvmknomp3nvpm5a/metadata.json
IPFS of structure file: 
bafybeidt6jw3u5ncntuq4dsauonuqn4pbsw5dejzmn7jdb7nbzyho72txe/AF-B8G7G9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #532261 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532261
Accession (UniProt):
B8G7G9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
CHLOROFLEXUS AGGREGANS (STRAIN MD-66 / DSM 9485)

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 B8G7G9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B8G7G9|YIDD_CHLAD Putative membrane protein insertion efficiency factor OS=Chloroflexus aggregans (strain MD-66 / DSM 9485) OX=326427 GN=Cagg_3146 PE=3 SV=1 MLRWLLLKLIRFYQVAISPWTPPSCIYTPTCSHYGYEAIQKYGALRGGWMTIKRIARCHPFARGGYDPVP