Q2Y5A7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibjeqyv2ukpv2lbr35pun44rdtdatqbk23qeed77n2kcbumrgxxp4/metadata.json
IPFS of structure file: 
bafybeiglcm5d767bitqi27qzwiu5qtwy26i2jtsvjodwfnslhh7jn3ijim/AF-Q2Y5A7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e
First NFT owner address (bech32): 
genesis1f5r7dg3aad4et0vmjrktvumgkl5d8dm7pxdzfr
Current NFT ID #532437 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532437
Accession (UniProt):
Q2Y5A7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Nitrosospira multiformis (strain ATCC 25196 / NCIMB 11849 / C 71)

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 Q2Y5A7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2Y5A7|YIDD_NITMU Putative membrane protein insertion efficiency factor OS=Nitrosospira multiformis (strain ATCC 25196 / NCIMB 11849 / C 71) OX=323848 GN=Nmul_A2777 PE=3 SV=1 MIIAFIRLYQYCLSPFLGPSCRFSPSCSHYACEALARHGATRGLVLSVWRIMRCNPWSRGGYDPVPAEPFR