P0A180 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih2luahqijo4ldl2s4x73ohpr36xbuy2w2msct77wp2vt64tz25b4/metadata.json
IPFS of structure file: 
bafybeibgpocxmb2l6vdd3qo4c5o6smjqncvt363var365u2wpy44adz6kq/AF-P0A180-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #532481 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532481
Accession (UniProt):
P0A180
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS PUTIDA

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 P0A180 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0A180|YIDD_PSEPU Putative membrane protein insertion efficiency factor OS=Pseudomonas putida OX=303 PE=3 SV=1 MRKLALVPIQFYRYAISPLMANHCRFFPSCSCYAYEAIENHGIWRGGWLAVRRLGRCHPWNDGGYDPVPPAPSSRTSSIAE