Q3IYY9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiawbbd5cidt3qu3sea3xpfrz2llnvh36rqngorucfecghip7jo3ki/metadata.json
IPFS of structure file: 
bafybeiez23afvcx4mv5flnxzwwdxmtlt4y2aj2uvoaisebe4r5d2nqzsby/AF-Q3IYY9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #532255 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532255
Accession (UniProt):
Q3IYY9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.)

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 Q3IYY9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3IYY9|YIDD_CERS4 Putative membrane protein insertion efficiency factor OS=Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.) OX=272943 GN=RHOS4_26770 PE=3 SV=1 MSPLAQVLALPVRAYRLLLSPWVGHGCRYQPTCSVYALDALERHGALKGGWLAARRILSCHPWGGSGYDPVPGADPEHDRRPRG