Q1JNA1 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicmz463usz36ikhcvvdm5v6rd6m2327dcmpabtpmlmm66owijn3lm/metadata.json
IPFS of structure file: 
bafybeicraeqyqh6xbkyvpuff72dxgk53bz7hrsoysuwvi5adhe62s7dqhy/AF-Q1JNA1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3a46cFc9847C4DE8A6F058d476de545886284659
First NFT owner address (bech32): 
genesis18frvljvy03x73fhstr28dhj5tzrzs3jeq99psf
Current NFT ID #532587 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532587
Accession (UniProt):
Q1JNA1
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Streptococcus pyogenes serotype M12 (strain MGAS9429)

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 Q1JNA1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1JNA1|YIDD_STRPC Putative membrane protein insertion efficiency factor OS=Streptococcus pyogenes serotype M12 (strain MGAS9429) OX=370551 GN=MGAS9429_Spy0310 PE=3 SV=1 MMKKLLIVSVKAYQKYISPLSPPSCRYKPTCSAYMLTAIEKHGTKGILMGIARILRCHPFVAGGVDPVPEDFSLMRNKNTSKNAEKA