B4RE94 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie4lkseg774o2pmri57pqzub7mmficfucpz3sn4uvkoxqgbbx3zsy/metadata.json
IPFS of structure file: 
bafybeibbojpcg4o6jwppjpjcsthg3als3fazbx6oumierdddh34zyrm7cu/AF-B4RE94-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x35612D34a32C306CA4fc1edA9360D1F717e25950
First NFT owner address (bech32): 
genesis1x4sj6d9r9scxef8urmdfxcx37ut7yk2swrdlap
Current NFT ID #532458 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532458
Accession (UniProt):
B4RE94
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
PHENYLOBACTERIUM ZUCINEUM (STRAIN HLK1)

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 B4RE94 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4RE94|YIDD_PHEZH Putative membrane protein insertion efficiency factor OS=Phenylobacterium zucineum (strain HLK1) OX=450851 GN=PHZ_c0422 PE=3 SV=1 MNLYESCVRGALRAYKLTLSPLIGRQCRFFPTCSEYAAEALIGHGPVRGSWLTVRRLCRCHPWGPSGWDPPPPPRRKGAKWTCET