A0AJC4 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifzxvqwovlqgpjs52q6imyhrlodggxclrhqxcng4rrq32npjszxsq/metadata.json
IPFS of structure file: 
bafybeihy733rgmwlei2ia5e2nmpat5gngvmapwimiofl2xjappct5xwi34/AF-A0AJC4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3df429dC3a3eF55192Fa727Bf390982f8ea756Df
First NFT owner address (bech32): 
genesis18h6znhp68m64ryh6wfal8yyc9782w4kl8yrayg
Current NFT ID #532407 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532407
Accession (UniProt):
A0AJC4
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Listeria welshimeri serovar 6b (strain ATCC 35897 / DSM 20650 / CIP 8149 / NCTC 11857 / SLCC 5334 / V8)

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 A0AJC4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0AJC4|YIDD_LISW6 Putative membrane protein insertion efficiency factor OS=Listeria welshimeri serovar 6b (strain ATCC 35897 / DSM 20650 / CIP 8149 / NCTC 11857 / SLCC 5334 / V8) OX=386043 GN=lwe1688 PE=3 SV=1 MKKMLIGGIRLYQKYISRFTPATCRFYPTCSAYGIEAIETHGALKGSYLAIKRISKCHPFHKGGLDFVPPKKE