Q4FPR6 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiacejxp54jnqhzv4flu6ogdqoh3khus5yhb2m2ux6a45p2kgpzakq/metadata.json
IPFS of structure file: 
bafybeibdqlyiaysqhpibcfddfqlfg5rzbf4cygbbybaempdyz4osdhicma/AF-Q4FPR6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf078CFe5dF6310567773f8D74C9892B4b18b5Ae7
First NFT owner address (bech32): 
genesis17puvlewlvvg9vamnlrt5exyjkjcckkh8pu0spr
Current NFT ID #532486 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532486
Accession (UniProt):
Q4FPR6
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Psychrobacter arcticus (strain DSM 17307 / VKM B-2377 / 273-4)

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 Q4FPR6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4FPR6|YIDD_PSYA2 Putative membrane protein insertion efficiency factor OS=Psychrobacter arcticus (strain DSM 17307 / VKM B-2377 / 273-4) OX=259536 GN=Psyc_2145 PE=3 SV=1 MYFFIKTINKYLYKLIYSFIVFYQKIISPILPARCRYYPTCSNYGKQALAWYGVWNGSLLLLKRIGRCHPLGGHGIDFVPLPLASYHYQHVSLIMSACMKAQGLYVYRDNNGYVARLNHMMKLT