Q1JIF2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiemdbwt3msuc4xoto3sagivoxrkfy7a4pdd5ggvyuaogm2cal6bui/metadata.json
IPFS of structure file: 
bafybeias2hyptltcp2574qu44u2mwhsgghwj75azc74m7ea2nqdmydmmfy/AF-Q1JIF2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01Ad51C82dd521245552f447f4fb0a71abB50C3B
First NFT owner address (bech32): 
genesis1qxk4rjpd65sjg42j73rlf7c2wx4m2rpmtyzzq2
Current NFT ID #532588 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532588
Accession (UniProt):
Q1JIF2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Streptococcus pyogenes serotype M2 (strain MGAS10270)

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 Q1JIF2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1JIF2|YIDD_STRPD Putative membrane protein insertion efficiency factor OS=Streptococcus pyogenes serotype M2 (strain MGAS10270) OX=370552 GN=MGAS10270_Spy0306 PE=3 SV=1 MMKKLLIVSVKAYQKYISPLSPPSCRYKPTCSAYMLTAIEKHGTKGILMGIARILRCHPFVAGGVDPVPEDFSLMRNKNTSKNAEKA