A9BJC5 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieyphfjtcuiwn73agjtdq4vfsravr67hh4gopxrhvusdt5vqafygu/metadata.json
IPFS of structure file: 
bafybeigitcivmnsdvofq4cvn7lvwxvhrpsidc5kylnwvzsiynnt3m2acfa/AF-A9BJC5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #532457 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532457
Accession (UniProt):
A9BJC5
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
PETROTOGA MOBILIS (STRAIN DSM 10674 / SJ95)

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 A9BJC5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9BJC5|YIDD_PETMO Putative membrane protein insertion efficiency factor OS=Petrotoga mobilis (strain DSM 10674 / SJ95) OX=403833 GN=Pmob_0605 PE=3 SV=1 MKKLVLKSIDFYRKHISPATPPKCIYLPTCSSYTYEAVEKFGVFKGLYLGFRRFIRCNPLHKGGYDPVPEKFSFFVHKQGKNKQHRRSV