Q3ALH6 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidfszz2rvt6aidcub74s52iegyihgllphg2rbndx4kehfls6x346q/metadata.json
IPFS of structure file: 
bafybeihk4gau6p7cj3ejnydzhikd2gerfd3tgdpyekbgulfaheks3e5swe/AF-Q3ALH6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80D2ac0F5e3268bC5C1d28BBAA07E3169BB02b79
First NFT owner address (bech32): 
genesis1srf2cr67xf5tchqa9za65plrz6dmq2me66p797
Current NFT ID #532617 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532617
Accession (UniProt):
Q3ALH6
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
SYNECHOCOCCUS SP. (STRAIN CC9605)

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 Q3ALH6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3ALH6|YIDD_SYNSC Putative membrane protein insertion efficiency factor OS=Synechococcus sp. (strain CC9605) OX=110662 GN=Syncc9605_0788 PE=3 SV=1 MHESNTLYGGPMTKLRQAINQVLAAVLLAGIGFYRRFISPMIGPRCRFTPTCSAYGLEAIQKHGPWKGGWLTVKRLLRCHPFTPCGCDPVPD