Q2JNV4 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifggnk2y7ja2niovtelv2cjdu6pbpdfduhwubzby3hiiayeozpszq/metadata.json
IPFS of structure file: 
bafybeiaqlmh365zs66q5lfknhcj4us27nuieyt7r3jxq2pd3oxcsak7v54/AF-Q2JNV4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x46ba7D8374862203aBCC7166BCAa8b3039Ae12D2
First NFT owner address (bech32): 
genesis1g6a8mqm5sc3q827vw9nte25txqu6uykj2e0jee
Current NFT ID #532612 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532612
Accession (UniProt):
Q2JNV4
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Synechococcus sp. (strain JA-2-3B'a(2-13))

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 Q2JNV4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2JNV4|YIDD_SYNJB Putative membrane protein insertion efficiency factor OS=Synechococcus sp. (strain JA-2-3B'a(2-13)) OX=321332 GN=CYB_0560 PE=3 SV=1 MPERSDPLTRSLIALIRGYQVGISPWLPPACRYYPTCSQYTLEAVRRYGALRGGWLGIRRLCRCHPWHPGGYDPVPDLPGSAPTQKPFR