Q3ST04 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidbazqy6il22qa2eoc2cle33234cohqvexaz76k5cpxitz5iehk74/metadata.json
IPFS of structure file: 
bafybeih2ix2zumhserqpyliiy277ps3q2ujza6wxr46dasrv5ft4tk3ewy/AF-Q3ST04-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9B130d619fCFc21d0D08E5Ce38Cf42A5fbe230CB
First NFT owner address (bech32): 
genesis1nvfs6cvlelpp6rgguh8r3n6z5ha7yvxthx8q26
Current NFT ID #532439 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532439
Accession (UniProt):
Q3ST04
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Nitrobacter winogradskyi (strain ATCC 25391 / DSM 10237 / CIP 104748 / NCIMB 11846 / Nb-255)

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 Q3ST04 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3ST04|YIDD_NITWN Putative membrane protein insertion efficiency factor OS=Nitrobacter winogradskyi (strain ATCC 25391 / DSM 10237 / CIP 104748 / NCIMB 11846 / Nb-255) OX=323098 GN=Nwi_1326 PE=3 SV=1 MKTIPSEVRCSRLCPACTNAALRLPRNAGRALIWIYRHTLSPLVGFNCRHLPTCSAYGDEAIARFGLWGGGWMTLARILRCRPWGTSGIDNVPVAKPSGATWYRPWRYGRWRGVNAK