Q1JDC8 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6ccyvehmhvruwrms7nsraqwurq2pkzmnitcn7m73jmx2kjbuqce/metadata.json
IPFS of structure file: 
bafybeiermwszoxauxtam53p4v5flbgpi7couwxcjyzsv6mz2jol7l3dfkq/AF-Q1JDC8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcE985276B7A1eF567A9F5D92f287fE5d84EBE880
First NFT owner address (bech32): 
genesis1e6v9ya4h58h4v75ltkf09pl7tkzwh6yqag8gxj
Current NFT ID #532586 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532586
Accession (UniProt):
Q1JDC8
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Streptococcus pyogenes serotype M12 (strain MGAS2096)

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 Q1JDC8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1JDC8|YIDD_STRPB Putative membrane protein insertion efficiency factor OS=Streptococcus pyogenes serotype M12 (strain MGAS2096) OX=370553 GN=MGAS2096_Spy0328 PE=3 SV=1 MMKKLLIVSVKAYQKYISPLSPPSCRYKPTCSAYMLTAIEKHGTKGILMGIARILRCHPFVAGGVDPVPEDFSLMRNKNTSKNAEKA