A9WDP2 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibsb25zjcl3lcwm2rdc5qjo4tdv2wej42lasffogkrmyzcwkk6qj4/metadata.json
IPFS of structure file: 
bafybeigavi7ivvmz7ybrmyn5jo7sz4cmr242yvfy37pjnhvxofsd2qqo5y/AF-A9WDP2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x35612D34a32C306CA4fc1edA9360D1F717e25950
First NFT owner address (bech32): 
genesis1x4sj6d9r9scxef8urmdfxcx37ut7yk2swrdlap
Current NFT ID #532259 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532259
Accession (UniProt):
A9WDP2
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
CHLOROFLEXUS AURANTIACUS (STRAIN ATCC 29366 / DSM 635 / J-10-FL)

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 A9WDP2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9WDP2|YIDD_CHLAA Putative membrane protein insertion efficiency factor OS=Chloroflexus aurantiacus (strain ATCC 29366 / DSM 635 / J-10-fl) OX=324602 GN=Caur_0398 PE=3 SV=1 MLRWLLLKLIRFYQVAISPWTPPSCIYTPTCSHYGYEAIKKYGALRGGWMTVKRIARCHPFARGGYDPVP