Q3JZU3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeick3gpqudqctxkpyuypxdriodp3x42yb5vhvgx4txf2rucykxbovi/metadata.json
IPFS of structure file: 
bafybeidsqnh2uxfkjy4s7u2we6tsbzzxnddmr3txnmsabzpmngvc5kerc4/AF-Q3JZU3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #532571 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532571
Accession (UniProt):
Q3JZU3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Streptococcus agalactiae serotype Ia (strain ATCC 27591 / A909 / CDC SS700)

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 Q3JZU3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3JZU3|YIDD_STRA1 Putative membrane protein insertion efficiency factor OS=Streptococcus agalactiae serotype Ia (strain ATCC 27591 / A909 / CDC SS700) OX=205921 GN=SAK_1607 PE=3 SV=1 MLKSFLIFLVRFYQKNISPAFPASCRYRPTCSTYMIEAIQKHGLKGVLMGIARILRCHPLAHGGNDPVPDHFSLRRNKTDISD