Q3AWW6 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicshzwylumhvqb2hhmcewswzcmnzffkt6azskbhaoustujhitjqni/metadata.json
IPFS of structure file: 
bafybeiflrkvj3lj3bo5hibz46ui476557pw2uguudsgkjlsoz2eilmo5xm/AF-Q3AWW6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x91A3Ff8006565B92Be90f7924A65De16701cc9fb
First NFT owner address (bech32): 
genesis1jx3llqqx2ede905s77fy5ew7zecpej0myhjndt
Current NFT ID #532616 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532616
Accession (UniProt):
Q3AWW6
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Synechococcus sp. (strain CC9902)

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 Q3AWW6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3AWW6|YIDD_SYNS9 Putative membrane protein insertion efficiency factor OS=Synechococcus sp. (strain CC9902) OX=316279 GN=Syncc9902_1589 PE=3 SV=2 MHESPILSNGDQPNRWAGLNRRVAALLLALIGFYRTFISPLLGPRCRFTPTCSAYGLEAIQRHGPWRGGWLTLKRVLRCHPFTPCGCDPVPD