Q2GAU9 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidv3noosureh35wobtempcuzq3uxkc2rb4aiqds5jwedju7etrs6m/metadata.json
IPFS of structure file: 
bafybeicg3jzsvgssxku73ukij5jjrqz2wk5ouzfqffhl3isrz427x6uf3q/AF-Q2GAU9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x79a905d858Ce72991FD6E7a9C6498620f42E146D
First NFT owner address (bech32): 
genesis10x5stkzceeefj87ku75uvjvxyr6zu9rds9d8xj
Current NFT ID #532443 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532443
Accession (UniProt):
Q2GAU9
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Novosphingobium aromaticivorans (strain ATCC 700278 / DSM 12444 / CCUG 56034 / CIP 105152 / NBRC 16084 / F199)

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 Q2GAU9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2GAU9|YIDD_NOVAD Putative membrane protein insertion efficiency factor OS=Novosphingobium aromaticivorans (strain ATCC 700278 / DSM 12444 / CCUG 56034 / CIP 105152 / NBRC 16084 / F199) OX=279238 GN=Saro_0577 PE=3 SV=1 MKRLLILIARAWQLGPSRVLPPSCRYSPSCSQYAIEALEKHGAIKGGWLAAKRLLRCHPWGGHGYDPVP