Q28UQ5 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifyrkrbd7qtpoebkszrjuwrurs5nyaonyzpzckesq6oecf5hjgevm/metadata.json
IPFS of structure file: 
bafybeiamty4rowtj5zmqb42lp5namohtzi5lhddnibz5tdu3v2gzby2y6y/AF-Q28UQ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80DFF74473FD79110bd730F367842ad5E57E8738
First NFT owner address (bech32): 
genesis1sr0lw3rnl4u3zz7hxrek0pp26hjhapecauejq8
Current NFT ID #532372 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532372
Accession (UniProt):
Q28UQ5
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Jannaschia sp. (strain CCS1)

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 Q28UQ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q28UQ5|YIDD_JANSC Putative membrane protein insertion efficiency factor OS=Jannaschia sp. (strain CCS1) OX=290400 GN=Jann_0640 PE=3 SV=1 MNPAAFLISLPIRFYRLVISPMIASNCRYTPTCSSYAMEALRKHGAIKGTWLAARRVSRCHPWGGSGIDNVPD