Q39ZS8 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeielyhvjdfbx2fvlpmpvt6vqqial6jjgu6vg7xxd4tsklfiebrrlwy/metadata.json
IPFS of structure file: 
bafybeigfpzsdx5dx5vxk4wbvrfrifhbf6veeaaeduu7smrlz5ovyawpmqi/AF-Q39ZS8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF2f87f077Bf4C1656e09B41684f4F18Dd78B5BC2
First NFT owner address (bech32): 
genesis17tu87pmm7nqk2msfkstgfa833htckk7zl98fjl
Current NFT ID #532608 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532608
Accession (UniProt):
Q39ZS8
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Syntrophotalea carbinolica (strain DSM 2380 / NBRC 103641 / GraBd1)

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 Q39ZS8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q39ZS8|YIDD_SYNC1 Putative membrane protein insertion efficiency factor OS=Syntrophotalea carbinolica (strain DSM 2380 / NBRC 103641 / GraBd1) OX=338963 GN=Pcar_3144 PE=3 SV=1 MIRKFLIVLIIAYQRYISPFTAPSCRFYPSCSEYARQSLIKYGLIKGVVKTCGRLCRCHPFHPGGYDPV